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- 【影视】 [Tutorialsplanet.NET] Udemy - Learning to Learn [Efficient Learning] Zero to Mastery
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收录时间:2021-03-19
文档个数:257
文档大小:2.3 GB
最近下载:2025-04-14
人气:671
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1. Introduction/4. Exercise Method of Loci.mp4 84.9 MB
6. The Techniques/23. Method of Loci.mp4 84.9 MB
1. Introduction/1. Course Outline.mp4 83.3 MB
5. The Science/8. Short And Long Term Memory.mp4 72.4 MB
6. The Techniques/21. The Power Of The Senses.mp4 69.3 MB
5. The Science/2. Focus vs Diffuse Mode.mp4 64.1 MB
6. The Techniques/17. Habits Revisited.mp4 63.2 MB
6. The Techniques/27. Exercise Deep Work.mp4 63.0 MB
5. The Science/10. Active vs Passive Learning.mp4 61.0 MB
4. The Pillars/2. Everything Is A Game.mp4 59.5 MB
6. The Techniques/6. Spaced Repetition Revisited.mp4 55.9 MB
5. The Science/18. Deliberate Practice.mp4 53.4 MB
3. The Lies/2. Follow Your Passion.mp4 49.4 MB
6. The Techniques/19. System vs Goals.mp4 48.1 MB
6. The Techniques/4. Chunk The Subject.mp4 47.9 MB
6. The Techniques/13. Einstellung.mp4 47.3 MB
5. The Science/28. Section Overview.mp4 44.9 MB
6. The Techniques/35. Section Review.mp4 44.0 MB
3. The Lies/5. 10,000 Hours Rule.mp4 40.3 MB
5. The Science/16. Chunking.mp4 39.8 MB
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- 【影视】 Machine Learning Deep Learning Model Deployment
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收录时间:2021-03-20
文档个数:180
文档大小:1.8 GB
最近下载:2025-05-14
人气:2280
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[TutsNode.com] - Machine Learning Deep Learning Model Deployment/07 Deploying models on browser using JavaScript and TensorFlow.js/040 JavaScript crash course (optional).mp4 154.2 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/02 Building, evaluating and saving a Model/006 Python NumPy Pandas Matplotlib crash course.mp4 143.4 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/02 Building, evaluating and saving a Model/007 Building and evaluating a Classification Model.mp4 117.1 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/09 MLOps and MLflow/047 Tracking Model training experiments with MLfLow.mp4 74.9 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/06 Deploying NLP models for Twitter sentiment analysis/028 Creating and saving text classifier and tf-idf models.mp4 70.8 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/05 Deploying Deep Learning Models/020 Building and deploying PyTorch models.mp4 67.6 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/08 Model as a mathematical formula/044 Deriving formula from a Linear Regression Model.mp4 67.2 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/04 Creating a REST API for the Machine Learning Model/016 Serverless Machine Learning API using Cloud Functions.mp4 57.9 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/04 Creating a REST API for the Machine Learning Model/014 Hosting the Machine Learning REST API on the Cloud.mp4 54.7 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/06 Deploying NLP models for Twitter sentiment analysis/036 Serving TensorFlow models serverless.mp4 47.4 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/04 Creating a REST API for the Machine Learning Model/012 Creating a REST API for the Model.mp4 46.0 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/05 Deploying Deep Learning Models/024 Creating a REST API using TensorFlow Model Server.mp4 44.4 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/06 Deploying NLP models for Twitter sentiment analysis/030 Deploying tf-idf and text classifier models for Twitter sentiment analysis.mp4 42.2 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/06 Deploying NLP models for Twitter sentiment analysis/033 Twitter sentiment analysis with PyTorch REST API.mp4 42.1 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/05 Deploying Deep Learning Models/022 Saving & loading TensorFlow Keras models.mp4 40.6 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/04 Creating a REST API for the Machine Learning Model/011 Flask REST API Hello World.mp4 35.1 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/05 Deploying Deep Learning Models/021 Creating a REST API for the PyTorch Model.mp4 35.0 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/06 Deploying NLP models for Twitter sentiment analysis/026 Converting text to numeric values using bag-of-words model.mp4 35.0 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/06 Deploying NLP models for Twitter sentiment analysis/027 tf-idf model for converting text to numeric values.mp4 31.2 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/04 Creating a REST API for the Machine Learning Model/017 Creating a REST API on Google Colab.mp4 30.5 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Learning to Learn [Efficient Learning] Zero to Mastery
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收录时间:2021-03-20
文档个数:253
文档大小:2.3 GB
最近下载:2025-01-13
人气:711
磁力链接
1. Introduction/4. Exercise Method of Loci.mp4 84.9 MB
6. The Techniques/23. Method of Loci.mp4 84.9 MB
1. Introduction/1. Course Outline.mp4 83.3 MB
5. The Science/8. Short And Long Term Memory.mp4 72.4 MB
6. The Techniques/21. The Power Of The Senses.mp4 69.3 MB
5. The Science/2. Focus vs Diffuse Mode.mp4 64.1 MB
6. The Techniques/17. Habits Revisited.mp4 63.2 MB
6. The Techniques/27. Exercise Deep Work.mp4 63.0 MB
5. The Science/10. Active vs Passive Learning.mp4 61.0 MB
4. The Pillars/2. Everything Is A Game.mp4 59.5 MB
6. The Techniques/6. Spaced Repetition Revisited.mp4 55.9 MB
5. The Science/18. Deliberate Practice.mp4 53.4 MB
3. The Lies/2. Follow Your Passion.mp4 49.4 MB
6. The Techniques/19. System vs Goals.mp4 48.1 MB
6. The Techniques/4. Chunk The Subject.mp4 47.9 MB
6. The Techniques/13. Einstellung.mp4 47.4 MB
5. The Science/28. Section Overview.mp4 44.9 MB
6. The Techniques/35. Section Review.mp4 44.1 MB
3. The Lies/5. 10,000 Hours Rule.mp4 40.3 MB
5. The Science/16. Chunking.mp4 39.8 MB
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- 【影视】 [FreeAllCourse.Com] Udemy - Machine Learning, Data Science and Deep Learning with Python
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收录时间:2021-03-20
文档个数:220
文档大小:8.3 GB
最近下载:2025-04-14
人气:1264
磁力链接
2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4 155.0 MB
6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 149.0 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4 140.5 MB
5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 139.0 MB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4 134.5 MB
2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4 131.2 MB
1. Getting Started/11. Introducing the Pandas Library [Optional].mp4 129.1 MB
10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 1.mp4 124.0 MB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 123.6 MB
2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4 122.4 MB
10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4 120.9 MB
2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4 119.6 MB
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4 117.4 MB
2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB
6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4 115.1 MB
5. Recommender Systems/3. [Activity] Finding Movie Similarities.mp4 113.1 MB
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- 【影视】 LinkedIn Learning - Learning GitHub Actions
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收录时间:2021-03-21
文档个数:79
文档大小:216.4 MB
最近下载:2025-05-15
人气:3073
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14- Use an action from the Marketplace.mp4 11.2 MB
17- Using environment variables.mp4 9.4 MB
38- Publish an action to the Marketplace.mp4 9.2 MB
16- Passing arguments to an action.mp4 9.2 MB
19- Using artifacts.mp4 9.1 MB
32- Use runtime environment resources.mp4 9.0 MB
06- Workflow and Action attributes.mp4 8.3 MB
18- Using secrets.mp4 8.2 MB
29- Dockerfile review.mp4 8.1 MB
33- Test an action locally.mp4 7.8 MB
27- Plan a custom action.mp4 7.6 MB
09- Add actions to a workflow.mp4 7.4 MB
20- Manage pull requests.mp4 7.3 MB
01- Automating with GitHub Actions.mp4 6.6 MB
37- Deploy a custom action.mp4 6.6 MB
23- Building and managing artifacts.mp4 6.3 MB
10- Run a workflow.mp4 6.0 MB
05- Your first Action.mp4 5.4 MB
35- Add a metadata file.mp4 5.2 MB
34- Complete the entry-point script.mp4 4.9 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Machine Learning & Deep Learning in Python & R
-
收录时间:2021-03-23
文档个数:559
文档大小:14.1 GB
最近下载:2025-04-29
人气:501
磁力链接
27. ANN in R/8. Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
37. Time Series - Preprocessing in Python/3. Time Series - Visualization in Python.mp4 173.2 MB
18. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4 169.1 MB
26. ANN in Python/9. Building Neural Network for Regression Problem.mp4 163.5 MB
26. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
23. Creating Support Vector Machine Model in R/3. Classification SVM model using Linear Kernel.mp4 145.9 MB
27. ANN in R/6. Building Regression Model with Functional API.mp4 137.5 MB
27. ANN in R/3. Building,Compiling and Training.mp4 137.1 MB
34. Transfer Learning Basics/6. Project - Transfer Learning - VGG16.mp4 135.4 MB
7. Linear Regression/20. Ridge regression and Lasso in Python.mp4 135.1 MB
25. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
38. Time Series - Important Concepts/5. Differencing in Python.mp4 118.5 MB
37. Time Series - Preprocessing in Python/5. Time Series - Feature Engineering in Python.mp4 118.2 MB
27. ANN in R/2. Data Normalization and Test-Train Split.mp4 117.2 MB
5. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 114.5 MB
37. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4 114.1 MB
23. Creating Support Vector Machine Model in R/7. SVM based Regression Model in R.mp4 111.3 MB
7. Linear Regression/21. Ridge regression and Lasso in R.mp4 108.5 MB
14. Simple Decision Trees/13. Building a Regression Tree in R.mp4 108.4 MB
35. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Learning to Learn [Efficient Learning] Zero to Mastery
-
收录时间:2021-03-31
文档个数:253
文档大小:2.3 GB
最近下载:2025-05-16
人气:171
磁力链接
1. Introduction/4. Exercise Method of Loci.mp4 84.9 MB
6. The Techniques/23. Method of Loci.mp4 84.9 MB
1. Introduction/1. Course Outline.mp4 83.3 MB
5. The Science/8. Short And Long Term Memory.mp4 72.4 MB
6. The Techniques/21. The Power Of The Senses.mp4 69.3 MB
5. The Science/2. Focus vs Diffuse Mode.mp4 64.1 MB
6. The Techniques/17. Habits Revisited.mp4 63.2 MB
6. The Techniques/27. Exercise Deep Work.mp4 63.0 MB
5. The Science/10. Active vs Passive Learning.mp4 61.0 MB
4. The Pillars/2. Everything Is A Game.mp4 59.5 MB
6. The Techniques/6. Spaced Repetition Revisited.mp4 55.9 MB
5. The Science/18. Deliberate Practice.mp4 53.4 MB
3. The Lies/2. Follow Your Passion.mp4 49.4 MB
6. The Techniques/19. System vs Goals.mp4 48.1 MB
6. The Techniques/4. Chunk The Subject.mp4 47.9 MB
6. The Techniques/13. Einstellung.mp4 47.4 MB
5. The Science/28. Section Overview.mp4 44.9 MB
6. The Techniques/35. Section Review.mp4 44.1 MB
3. The Lies/5. 10,000 Hours Rule.mp4 40.3 MB
5. The Science/16. Chunking.mp4 39.8 MB
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- 【影视】 [DesireCourse.Net] Udemy - Learning to Learn [Efficient Learning] Zero to Mastery
-
收录时间:2021-04-01
文档个数:260
文档大小:2.3 GB
最近下载:2025-05-15
人气:699
磁力链接
1. Introduction/4. Exercise Method of Loci.mp4 84.9 MB
6. The Techniques/23. Method of Loci.mp4 84.9 MB
1. Introduction/1. Course Outline.mp4 83.3 MB
5. The Science/8. Short And Long Term Memory.mp4 72.4 MB
6. The Techniques/21. The Power Of The Senses.mp4 69.3 MB
5. The Science/2. Focus vs Diffuse Mode.mp4 64.1 MB
6. The Techniques/17. Habits Revisited.mp4 63.2 MB
6. The Techniques/27. Exercise Deep Work.mp4 63.0 MB
5. The Science/10. Active vs Passive Learning.mp4 61.0 MB
4. The Pillars/2. Everything Is A Game.mp4 59.5 MB
6. The Techniques/6. Spaced Repetition Revisited.mp4 55.9 MB
5. The Science/18. Deliberate Practice.mp4 53.4 MB
3. The Lies/2. Follow Your Passion.mp4 49.4 MB
6. The Techniques/19. System vs Goals.mp4 48.1 MB
6. The Techniques/4. Chunk The Subject.mp4 47.9 MB
6. The Techniques/13. Einstellung.mp4 47.3 MB
5. The Science/28. Section Overview.mp4 44.9 MB
6. The Techniques/35. Section Review.mp4 44.0 MB
3. The Lies/5. 10,000 Hours Rule.mp4 40.3 MB
5. The Science/16. Chunking.mp4 39.8 MB
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- 【影视】 [FTUForum.com] [UDEMY] A-Z Machine Learning using Azure Machine Learning (AzureML) [FTU]
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收录时间:2021-04-02
文档个数:230
文档大小:2.0 GB
最近下载:2025-05-14
人气:825
磁力链接
07. Regression Analysis/3. [Hands On] - Linear Regression model using OLS.mp4 95.5 MB
12. Text Analytics and Natural Language Processing/5. [Hands On] - Classify Customer Complaints using Text Analytics.mp4 95.4 MB
12. Text Analytics and Natural Language Processing/4. Feature Hashing.mp4 78.8 MB
01. Basics of Machine Learning/4. Why Machine Learning is the Future.mp4 72.1 MB
10. Feature Selection - Select a subset of Variables or features with highest impact/9. [Hands On] - Fisher Based LDA - Experiment.mp4 64.1 MB
01. Basics of Machine Learning/5. What is Machine Learning.mp4 57.4 MB
12. Text Analytics and Natural Language Processing/2. Text Pre-Processing.mp4 57.3 MB
04. Classification/2. [Hands On] -Logistic Regression - Build Two-Class Loan Approval Prediction Model.mp4 54.7 MB
12. Text Analytics and Natural Language Processing/3. Bag Of Words and N-Gram Models for Text features.mp4 52.4 MB
13. Thank You and Bonus Lecture/1. Way Forward.mp4 51.6 MB
10. Feature Selection - Select a subset of Variables or features with highest impact/2. Pearson Correlation Coefficient.mp4 49.5 MB
12. Text Analytics and Natural Language Processing/1. What is Text Analytics or Natural Language Processing.mp4 42.7 MB
03. Data Processing/5. [Hands On] - Apply SQL Transformation, Clean Missing Data, Edit Metadata.mp4 40.8 MB
11. Recommendation System/5. [Hands On] - Restaurant Recommendation Experiment.mp4 37.9 MB
03. Data Processing/6. [Hands On] - Sample and Split Data - Partition or Sample, Train and Test Data.mp4 37.2 MB
04. Classification/12. [Hands On] - Two Class Decision Forest - Adult Census Income Prediction.mp4 36.8 MB
11. Recommendation System/1. What is a Recommendation System.mp4 36.7 MB
08. Clustering/2. [Hands On] - Cluster Analysis Experiment 1.mp4 32.4 MB
04. Classification/4. Understanding the Confusion Matrix, AUC, Accuracy, Precision, Recall and F1Score.mp4 30.9 MB
07. Regression Analysis/5. Gradient Descent.mp4 29.0 MB
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- 【影视】 DP-100 A-Z Machine Learning using Azure Machine Learning
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收录时间:2021-04-07
文档个数:680
文档大小:8.0 GB
最近下载:2025-05-15
人气:6057
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[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/15. DesignerClassic Studio Vs Pandas and Scikit-learn/14. Data Normalization.mp4 128.4 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/15. DesignerClassic Studio Vs Pandas and Scikit-learn/20. Build Logistic Regression using Python - Part 2.mp4 122.9 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/16. Azure Machine Learning with AzureML SDK/6. Access Workspace, Datastore and Datasets using SDK.mp4 116.1 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/16. Azure Machine Learning with AzureML SDK/20. Train and Run a Model Script in AzureML Part 3.mp4 115.4 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/16. Azure Machine Learning with AzureML SDK/29. Automate Model Training - Create Dataprep Step.mp4 115.0 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/15. DesignerClassic Studio Vs Pandas and Scikit-learn/18. Split The Data for training and testing.mp4 112.7 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/16. Azure Machine Learning with AzureML SDK/4. Create and Register a Datastore using AzureML SDK.mp4 106.2 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/20. Azure Fundamentals/5. Azure Storage hands on.mp4 102.3 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/16. Azure Machine Learning with AzureML SDK/8. Upload local data to storage account via datastore.mp4 101.8 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/16. Azure Machine Learning with AzureML SDK/5. Create and Register a Dataset using SDK.mp4 100.7 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/14. Azure Machine Learning with Studio Designer/13. Create a Pipeline using AzureML Designer.mp4 98.9 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/16. Azure Machine Learning with AzureML SDK/11. Run a sample experiment using AzureML SDK - Part 2.mp4 98.7 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/16. Azure Machine Learning with AzureML SDK/22. Train and Run a Model Script in AzureML Part 5.mp4 97.0 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/7. Regression Analysis/3. [Hands On] - Linear Regression model using OLS.mp4 95.5 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/12. Text Analytics and Natural Language Processing/6. [Hands On] - Classify Customer Complaints using Text Analytics.mp4 95.4 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/16. Azure Machine Learning with AzureML SDK/19. Train and Run a Model Script in AzureML Part 2.mp4 94.9 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/14. Azure Machine Learning with Studio Designer/14. Submit the Designer Pipeline run.mp4 94.3 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/14. Azure Machine Learning with Studio Designer/7. Create and Register a Datastore.mp4 94.2 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/16. Azure Machine Learning with AzureML SDK/25. Automate Model Training - Define Pipeline Steps.mp4 93.7 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/16. Azure Machine Learning with AzureML SDK/7. Pandas Dataframe and AzureML Dataset conversions.mp4 93.3 MB
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- 【影视】 Super Learning The Complete Accelerated Learning Course
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收录时间:2021-04-07
文档个数:66
文档大小:589.9 MB
最近下载:2025-05-16
人气:281
磁力链接
Super Learning The Complete Accelerated Learning Course/03 Mindset How to Change Your Mindset Quickly/016 Motivation Mastery - everything you need to know about motivation.mp4 46.2 MB
Super Learning The Complete Accelerated Learning Course/04 Connection Both Sides of the Brain - A Complete Step by Step Tutorial/020 Connecting visual learning strategies with auditory learning strategies.mp4 37.6 MB
Super Learning The Complete Accelerated Learning Course/02 Speed Learning Fundamentals Everything you need to know about the basics/005 Anatomy and functional areas of the brain.mp4 34.1 MB
Super Learning The Complete Accelerated Learning Course/02 Speed Learning Fundamentals Everything you need to know about the basics/006 The 8 types of intelligence.mp4 34.0 MB
Super Learning The Complete Accelerated Learning Course/02 Speed Learning Fundamentals Everything you need to know about the basics/014 The 6 pillars of effective learning how to apply them.mp4 33.2 MB
Super Learning The Complete Accelerated Learning Course/04 Connection Both Sides of the Brain - A Complete Step by Step Tutorial/021 Connecting visual learning strategies with readingwriting learning strategies.mp4 31.8 MB
Super Learning The Complete Accelerated Learning Course/05 Thank you/027 Superlearning-Masterclass-Slides.pdf 30.4 MB
Super Learning The Complete Accelerated Learning Course/04 Connection Both Sides of the Brain - A Complete Step by Step Tutorial/022 Connecting auditory learning strategies with readingwriting learning strategies.mp4 29.1 MB
Super Learning The Complete Accelerated Learning Course/04 Connection Both Sides of the Brain - A Complete Step by Step Tutorial/026 Establishing a review cycle repetition and reflecting.mp4 27.3 MB
Super Learning The Complete Accelerated Learning Course/02 Speed Learning Fundamentals Everything you need to know about the basics/010 Learning Strategies for Visual Learners.mp4 25.4 MB
Super Learning The Complete Accelerated Learning Course/03 Mindset How to Change Your Mindset Quickly/017 How to use past successes as a stimulus.mp4 24.2 MB
Super Learning The Complete Accelerated Learning Course/02 Speed Learning Fundamentals Everything you need to know about the basics/008 Test Which kind of learner are you.mp4 22.1 MB
Super Learning The Complete Accelerated Learning Course/04 Connection Both Sides of the Brain - A Complete Step by Step Tutorial/024 Connecting rw learning strategies with kinesthetic learning strategies.mp4 18.6 MB
Super Learning The Complete Accelerated Learning Course/04 Connection Both Sides of the Brain - A Complete Step by Step Tutorial/025 Exploration via the 8 intelligences.mp4 18.6 MB
Super Learning The Complete Accelerated Learning Course/02 Speed Learning Fundamentals Everything you need to know about the basics/011 Learning Strategies for Auditory Learners.mp4 18.4 MB
Super Learning The Complete Accelerated Learning Course/03 Mindset How to Change Your Mindset Quickly/018 9 hacks for better studies and more discipline.mp4 18.4 MB
Super Learning The Complete Accelerated Learning Course/02 Speed Learning Fundamentals Everything you need to know about the basics/004 What is superlearning.mp4 17.4 MB
Super Learning The Complete Accelerated Learning Course/04 Connection Both Sides of the Brain - A Complete Step by Step Tutorial/023 Connecting auditory learning strategies with kinesthetic learning strategies.mp4 16.4 MB
Super Learning The Complete Accelerated Learning Course/02 Speed Learning Fundamentals Everything you need to know about the basics/012 Learning Strategies for ReadingWriting Learners.mp4 16.1 MB
Super Learning The Complete Accelerated Learning Course/02 Speed Learning Fundamentals Everything you need to know about the basics/013 Learning Strategies for Kinesthetic Learners.mp4 16.1 MB
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- 【影视】 GetFreeCourses.Co-Udemy-Machine Learning, Data Science and Deep Learning with Python
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收录时间:2021-04-10
文档个数:221
文档大小:8.5 GB
最近下载:2025-05-13
人气:1284
磁力链接
2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4 155.0 MB
6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 149.0 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.srt 148.5 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4 140.5 MB
5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 139.0 MB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4 134.5 MB
2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4 131.2 MB
1. Getting Started/11. Introducing the Pandas Library [Optional].mp4 129.1 MB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 123.6 MB
2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4 122.4 MB
10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4 120.9 MB
2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4 119.6 MB
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4 117.4 MB
2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB
6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4 115.1 MB
10. Deep Learning and Neural Networks/8. [Activity] Using Tensorflow, Part 2.mp4 113.9 MB
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- 【影视】 Modern Reinforcement Learning- Deep Q Learning in PyTorch
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收录时间:2021-04-10
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Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/018 Analyzing the Paper.mp4 292.7 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/05 Deep Reinforcement Learning with Double Q Learning/031 Analyzing the Paper.mp4 191.5 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/07 Improving On Our Solutions/038 Consolidating Our Code Base for Maximum Extensability.mp4 176.9 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/06 Dueling Network Architectures for Deep Reinforcement Learning/033 Analyzing the Paper.mp4 140.5 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/009 Temporal Difference Learning.mp4 135.8 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/03 Deep Learning Crash Course/010 Dealing with Continuous State Spaces with Deep Neural Networks.mp4 110.4 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/01 Introduction/003 How to Succeed in this Course.mp4 110.3 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/019 How to Modify the OpenAI Gym Atari Environments.mp4 85.8 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/030 Coding the Deep Q Agent Step 5 - The Main Loop and Analyzing the Performance.mp4 76.5 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/06 Dueling Network Architectures for Deep Reinforcement Learning/035 Coding the Dueling Deep Q Learning Agent and Analyzing Performance.mp4 74.0 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/025 How to Code the Deep Q Network.mp4 69.7 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/024 How to Code the Agents Memory.mp4 64.4 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/005 Markov Decision Processes.mp4 63.4 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/03 Deep Learning Crash Course/012 Naive Deep Q Learning in Code Step 2 - Coding the Agent Class.mp4 63.1 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/05 Deep Reinforcement Learning with Double Q Learning/032 Coding the Double Q Learning Agent and Analyzing Performance.mp4 61.1 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/004 Agents Environments and Actions.mp4 60.6 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/07 Improving On Our Solutions/037 Implementing a Command Line Interface for Rapid Model Testing.mp4 59.9 MB
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Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/006 Value Functions Action Value Functions and the Bellman Equation.mp4 49.5 MB
Modern Reinforcement Learning- Deep Q Learning in PyTorch/03 Deep Learning Crash Course/013 Naive Deep Q Learning in Code Step 3 - Coding the Main Loop and Learning.mp4 48.0 MB
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8. Apache Spark Machine Learning on Big Data/8. [Activity] Decision Trees in Spark.mp4 202.6 MB
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4 180.7 MB
6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 149.0 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
1. Getting Started/5. Python Basics, Part 1 [Optional].mp4 140.3 MB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 140.3 MB
10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 2.mp4 140.1 MB
5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 139.0 MB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
2. Statistics and Probability Refresher, and Python Practise/10. [Exercise] Conditional Probability.mp4 136.7 MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
2. Statistics and Probability Refresher, and Python Practise/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
10. Deep Learning and Neural Networks/14. The Ethics of Deep Learning.mp4 134.5 MB
1. Getting Started/8. Introducing the Pandas Library [Optional].mp4 134.1 MB
3. Predictive Models/3. [Activity] Multivariate Regression, and Predicting Car Prices.mp4 129.8 MB
2. Statistics and Probability Refresher, and Python Practise/9. [Activity] Covariance and Correlation.mp4 122.4 MB
2. Statistics and Probability Refresher, and Python Practise/7. [Activity] Percentiles and Moments.mp4 119.6 MB
8. Apache Spark Machine Learning on Big Data/12. [Activity] Using the Spark 2.0 DataFrame API for MLLib.mp4 119.3 MB
8. Apache Spark Machine Learning on Big Data/11. [Activity] Searching Wikipedia with Spark.mp4 116.9 MB
2. Statistics and Probability Refresher, and Python Practise/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB
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34- Exploiting Linux with Metasploit.mp4 23.2 MB
09- Installing Ubuntu from an ISO file.mp4 14.3 MB
23- Active target reconnaissance.mp4 13.5 MB
29- Introducing password recovery.mp4 13.4 MB
36- Exploiting Windows with venom.mp4 12.8 MB
06- A first look at VirtualBox.mp4 12.2 MB
28- Running an OpenVAS scan.mp4 12.1 MB
15- Using the application menu.mp4 11.3 MB
07- Installing Kali as an appliance.mp4 11.2 MB
35- Graphical exploits with Armitage.mp4 10.0 MB
12- Using the advanced options.mp4 9.9 MB
27- Using Burp Suite to scan a website.mp4 9.9 MB
32- Cracking Windows passwords.mp4 8.9 MB
22- Using DNS for passive reconnaissance.mp4 7.8 MB
16- Setting up favorites.mp4 7.8 MB
11- Installing Windows.mp4 7.6 MB
08- Installing Metasploitable from a virtual disk.mp4 7.6 MB
30- Using command-line tools for dictionaries.mp4 6.8 MB
21- Using Deepmagic for reconnaissance.mp4 6.6 MB
31- Having a ripping good time.mp4 6.4 MB
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- 【影视】 [DesireCourse.Net] Udemy - Machine Learning, incl. Deep Learning, with R
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28. Convolutional Neural Networks/4. Convolutional Neural Networks Lab (Coding).mp4 199.0 MB
6. Regularization/2. Regularization Lab.mp4 198.8 MB
18. Hierarchical Clustering/3. Hierarchical Clustering Lab.mp4 198.4 MB
5. Model Preparation and Evaluation/6. Resampling Techniques Lab.mp4 197.8 MB
17. kmeans/2. kmeans Lab.mp4 167.6 MB
31. Recurrent Neural Networks/3. LSTM Univariate, Multistep Timeseries Prediction (Coding).mp4 153.7 MB
31. Recurrent Neural Networks/5. LSTM Multivariate, Multistep Timeseries Prediction (Coding).mp4 148.4 MB
24. ----- Reinforcement Learning -----/6. Upper Confidence Bound Lab (Coding 12).mp4 145.0 MB
4. Regression/10. Multivariate Regression Lab.mp4 142.3 MB
8. Classification Basics/7. ROC Curve Lab 33 (ROC, AUC, Cost Function).mp4 142.1 MB
27. Deep Learning Classification/6. Multi-Label Classification Lab (Coding 23).mp4 135.1 MB
21. Principal Component Analysis (PCA)/2. PCA Lab.mp4 133.2 MB
1. Introduction/6. Teaser Lab.mp4 132.7 MB
4. Regression/12. Multivariate Regression Solution.mp4 128.6 MB
27. Deep Learning Classification/2. Binary Classification Lab (Coding 12).mp4 126.9 MB
9. Decision Trees/3. Decision Trees Lab (Coding).mp4 126.9 MB
26. Deep Learning Regression/2. Multi-Target Regression Lab (Coding 12).mp4 124.8 MB
8. Classification Basics/5. ROC Curve Lab 13 (Data Prep, Modeling).mp4 123.8 MB
4. Regression/8. Polynomial Regression Lab.mp4 123.3 MB
5. Model Preparation and Evaluation/4. Train Validation Test Split Lab.mp4 123.1 MB
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5. Convolution Neural Networks/3. Convolution Operation.mp4 237.3 MB
3. Neural Networks/1. Perceptron.mp4 107.9 MB
4. Training Neural Networks/3. Gradient Descent.mp4 70.8 MB
3. Neural Networks/3. Softmax Function.mp4 58.6 MB
1. Introduction/1. Applications of Deep Learning.mp4 46.9 MB
3. Neural Networks/2. Sigmoid Function.mp4 45.1 MB
5. Convolution Neural Networks/1. Need for feature extraction.mp4 43.5 MB
6. Sequence Models/1. Recurrent Neural Networks.mp4 42.6 MB
4. Training Neural Networks/1. Cross Entropy.mp4 38.8 MB
3. Neural Networks/4. One Hot Encoding.mp4 32.2 MB
4. Training Neural Networks/7. Overfitting problem.mp4 31.6 MB
5. Convolution Neural Networks/4. Pooling Layer.mp4 31.4 MB
4. Training Neural Networks/4. Non Linear Models.mp4 29.0 MB
4. Training Neural Networks/5. Feed Forward.mp4 28.3 MB
4. Training Neural Networks/8. Early Stopping.mp4 27.3 MB
3. Neural Networks/5. Activation Functions.mp4 26.1 MB
4. Training Neural Networks/11. Vanishing Gradient Problem.mp4 25.0 MB
4. Training Neural Networks/9. Regularization.mp4 22.4 MB
6. Sequence Models/3. Architecture of LSTMs.mp4 21.0 MB
6. Sequence Models/2. LSTMs.mp4 19.6 MB
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- 【影视】 Learning to Learn [Efficient Learning] Zero to Mastery
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收录时间:2021-05-04
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[TutsNode.com] - Learning to Learn [Efficient Learning] Zero to Mastery/06 The Techniques/090 Method of Loci.mp4 137.8 MB
[TutsNode.com] - Learning to Learn [Efficient Learning] Zero to Mastery/01 Introduction/004 Exercise_ Method of Loci.mp4 137.7 MB
[TutsNode.com] - Learning to Learn [Efficient Learning] Zero to Mastery/01 Introduction/001 Course Outline.mp4 137.1 MB
[TutsNode.com] - Learning to Learn [Efficient Learning] Zero to Mastery/05 The Science/046 Short And Long Term Memory.mp4 118.9 MB
[TutsNode.com] - Learning to Learn [Efficient Learning] Zero to Mastery/06 The Techniques/088 The Power Of The Senses.mp4 114.2 MB
[TutsNode.com] - Learning to Learn [Efficient Learning] Zero to Mastery/05 The Science/040 Focus vs Diffuse Mode.mp4 107.7 MB
[TutsNode.com] - Learning to Learn [Efficient Learning] Zero to Mastery/06 The Techniques/094 Exercise_ Deep Work.mp4 103.6 MB
[TutsNode.com] - Learning to Learn [Efficient Learning] Zero to Mastery/06 The Techniques/084 Habits Revisited.mp4 101.9 MB
[TutsNode.com] - Learning to Learn [Efficient Learning] Zero to Mastery/05 The Science/048 Active vs Passive Learning.mp4 101.5 MB
[TutsNode.com] - Learning to Learn [Efficient Learning] Zero to Mastery/04 The Pillars/032 Everything Is A Game.mp4 97.5 MB
[TutsNode.com] - Learning to Learn [Efficient Learning] Zero to Mastery/05 The Science/056 Deliberate Practice.mp4 89.6 MB
[TutsNode.com] - Learning to Learn [Efficient Learning] Zero to Mastery/06 The Techniques/073 Spaced Repetition Revisited.mp4 88.4 MB
[TutsNode.com] - Learning to Learn [Efficient Learning] Zero to Mastery/06 The Techniques/086 System vs Goals.mp4 81.7 MB
[TutsNode.com] - Learning to Learn [Efficient Learning] Zero to Mastery/06 The Techniques/071 Chunk The Subject.mp4 80.7 MB
[TutsNode.com] - Learning to Learn [Efficient Learning] Zero to Mastery/03 The Lies/026 Follow Your Passion.mp4 80.2 MB
[TutsNode.com] - Learning to Learn [Efficient Learning] Zero to Mastery/06 The Techniques/080 Einstellung.mp4 78.5 MB
[TutsNode.com] - Learning to Learn [Efficient Learning] Zero to Mastery/05 The Science/066 Section Overview.mp4 75.0 MB
[TutsNode.com] - Learning to Learn [Efficient Learning] Zero to Mastery/06 The Techniques/102 Section Review.mp4 74.1 MB
[TutsNode.com] - Learning to Learn [Efficient Learning] Zero to Mastery/02 The Principles/024 Section Review.mp4 67.5 MB
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- 【影视】 [FreeCourseLab.com] Udemy - A-Z Machine Learning using Azure Machine Learning (AzureML)
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收录时间:2021-05-14
文档个数:225
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7. Regression Analysis/3. [Hands On] - Linear Regression model using OLS.mp4 95.5 MB
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1. Basics of Machine Learning/4. Why Machine Learning is the Future.mp4 72.1 MB
10. Feature Selection - Select a subset of Variables or features with highest impact/9. [Hands On] - Fisher Based LDA - Experiment.mp4 64.1 MB
13. Thank You and Bonus Lecture/1. Way Forward.mp4 59.8 MB
12. Text Analytics and Natural Language Processing/2. Text Pre-Processing.mp4 57.3 MB
4. Classification/2. [Hands On] -Logistic Regression - Build Two-Class Loan Approval Prediction Model.mp4 54.7 MB
12. Text Analytics and Natural Language Processing/3. Bag Of Words and N-Gram Models for Text features.mp4 52.4 MB
10. Feature Selection - Select a subset of Variables or features with highest impact/2. Pearson Correlation Coefficient.mp4 49.5 MB
12. Text Analytics and Natural Language Processing/1. What is Text Analytics or Natural Language Processing.mp4 42.7 MB
3. Data Processing/5. [Hands On] - Apply SQL Transformation, Clean Missing Data, Edit Metadata.mp4 40.8 MB
11. Recommendation System/5. [Hands On] - Restaurant Recommendation Experiment.mp4 37.9 MB
3. Data Processing/6. [Hands On] - Sample and Split Data - Partition or Sample, Train and Test Data.mp4 37.2 MB
4. Classification/12. [Hands On] - Two Class Decision Forest - Adult Census Income Prediction.mp4 36.8 MB
11. Recommendation System/1. What is a Recommendation System.mp4 36.7 MB
8. Clustering/2. [Hands On] - Cluster Analysis Experiment 1.mp4 32.4 MB
4. Classification/4. Understanding the Confusion Matrix, AUC, Accuracy, Precision, Recall and F1Score.mp4 30.9 MB
7. Regression Analysis/5. Gradient Descent.mp4 29.0 MB
3. Data Processing/4. [Hands On] -Data Transform - Add RowsColumns, Remove Duplicates, Select Columns.mp4 27.8 MB
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27. ANN in R/8. Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
37. Time Series - Preprocessing in Python/3. Time Series - Visualization in Python.mp4 173.2 MB
18. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4 169.1 MB
26. ANN in Python/9. Building Neural Network for Regression Problem.mp4 163.5 MB
26. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
23. Creating Support Vector Machine Model in R/4. Classification SVM model using Linear Kernel.mp4 145.9 MB
27. ANN in R/6. Building Regression Model with Functional API.mp4 137.5 MB
27. ANN in R/3. Building,Compiling and Training.mp4 137.1 MB
34. Transfer Learning Basics/6. Project - Transfer Learning - VGG16.mp4 135.4 MB
7. Linear Regression/20. Ridge regression and Lasso in Python.mp4 135.1 MB
25. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
38. Time Series - Important Concepts/5. Differencing in Python.mp4 118.5 MB
37. Time Series - Preprocessing in Python/5. Time Series - Feature Engineering in Python.mp4 118.2 MB
27. ANN in R/2. Data Normalization and Test-Train Split.mp4 117.2 MB
5. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 114.5 MB
37. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4 114.1 MB
23. Creating Support Vector Machine Model in R/8. SVM based Regression Model in R.mp4 111.3 MB
7. Linear Regression/21. Ridge regression and Lasso in R.mp4 108.5 MB
14. Simple Decision Trees/13. Building a Regression Tree in R.mp4 108.3 MB
35. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
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