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【影视】 [FreeAllCourse.Com] Udemy - Machine Learning using Python

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5. Evaluation Metrics/4. Classification Reports in Evaluation Metrics.mp4 122.5 MB
5. Evaluation Metrics/2. Example of Evaluation Metrics.mp4 102.6 MB
3. Linear Regression/1. Linear Regression in ML.mp4 87.0 MB
3. Linear Regression/4. Support Vector Algorithm in ML.mp4 85.5 MB
3. Linear Regression/3. Linear Regression Example Continues.mp4 83.6 MB
5. Evaluation Metrics/5. Example of MAE, MSE and Variance using Evaluation Metrics.mp4 78.5 MB
4. Classifier and Python Package/4. Apriori Python Package.mp4 78.1 MB
4. Classifier and Python Package/5. Apriori Python Package Continues.mp4 78.1 MB
6. Missing Value/2. Handling Missing Values in Python Continues.mp4 75.8 MB
2. Usage of Machine Learning Packages in Python/2. Example of Machine Learning Using Python.mp4 73.6 MB
2. Usage of Machine Learning Packages in Python/1. Installation of Python.mp4 71.9 MB
4. Classifier and Python Package/3. K Mean Clustering.mp4 70.5 MB
4. Classifier and Python Package/1. Decision Tree Classifier.mp4 68.2 MB
3. Linear Regression/2. Linear Regression Example.mp4 67.8 MB
6. Missing Value/1. Handling Missing Values in Python.mp4 66.6 MB
5. Evaluation Metrics/6. Sea Born Example using Evaluation Metrics.mp4 66.6 MB
5. Evaluation Metrics/1. Evaluation Metrics.mp4 63.2 MB
6. Missing Value/4. More on Exception Handling in Python.mp4 61.5 MB
6. Missing Value/3. Exception Handling in Python.mp4 59.1 MB
4. Classifier and Python Package/2. Random Forest Classification.mp4 59.0 MB

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4. Image Processing & Model Training/7. Training a Model.mp4 114.7 MB
5. Convolution & Pooling/3. Diagramming Convolutions & Pooling.mp4 112.7 MB
5. Convolution & Pooling/6. Neural Network Attention.mp4 112.4 MB
6. Text Analytics/2. Natural Language Processing.mp4 97.5 MB
3. Linear Regression/8. Learning Rate & Gradients.mp4 91.5 MB
6. Text Analytics/5. Reinforcement Learning.mp4 85.5 MB
6. Text Analytics/4. Long Short Term Memory.mp4 84.9 MB
4. Image Processing & Model Training/8. Comparing Different Models.mp4 80.8 MB
3. Linear Regression/3. Tensorflow Architecture.mp4 79.7 MB
6. Text Analytics/1. Detecting Good & Bad Reviews.mp4 78.8 MB
5. Convolution & Pooling/4. Visualizing Convolutional Operations.mp4 78.8 MB
5. Convolution & Pooling/5. Predicting, Saving & Loading Models.mp4 71.3 MB
4. Image Processing & Model Training/6. Defining the Solver & Loss Function.mp4 70.9 MB
6. Text Analytics/3. Sentiment Analysis.mp4 69.4 MB
3. Linear Regression/9. Learning Rate vs Steps.mp4 67.8 MB
4. Image Processing & Model Training/9. Principal Component Analysis.mp4 64.6 MB
2. Machine Learning, Neural Networks & Deep Learning/1. Machine Learning Demo.mp4 61.2 MB
4. Image Processing & Model Training/1. Image Processing with Keras.mp4 60.0 MB
3. Linear Regression/5. Plotting Data with Noise.mp4 59.7 MB
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【影视】 [FreeCourseLab.com] Udemy - Data Science and Machine Learning Bootcamp with R

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18. Capstone Data Project/2. Capstone Project Solutions Walkthrough.mp4 57.1 MB
19. Introduction to Machine Learning with R/2. Introduction to Machine Learning.mp4 50.9 MB
21. Machine Learning Project - Linear Regression/2. ML - Linear Regression Project - Solutions Part 1.mp4 50.1 MB
23. Machine Learning Project - Logistic Regression/2. Logistic Regression Project Solutions - Part 1.mp4 49.7 MB
14. Data Manipulation with R/8. Guide to Using Tidyr.mp4 49.4 MB
20. Machine Learning with R - Linear Regression/2. Linear Regression with R - Part 1.mp4 49.2 MB
33. Machine Learning with R - Neural Nets/2. Neural Nets with R.mp4 48.5 MB
20. Machine Learning with R - Linear Regression/3. Linear Regression with R - Part 2.mp4 48.2 MB
15. Data Visualization with R/2. Histograms.mp4 47.8 MB
1. Course Introduction/4.1 R-Course-HTML-Notes.zip.zip 47.8 MB
6. Development Environment Overview/2.1 R-Course-HTML-Notes.zip.zip 47.8 MB
22. Machine Learning with R - Logistic Regression/3. Logistic Regression with R - Part 2.mp4 42.9 MB
24. Machine Learning with R - K Nearest Neighbors/2. K Nearest Neighbors with R.mp4 42.4 MB
22. Machine Learning with R - Logistic Regression/2. Logistic Regression with R - Part 1.mp4 41.5 MB
15. Data Visualization with R/3. Scatterplots.mp4 39.4 MB
12. R Programming Basics/10. Functions Training Exercise - Solutions.mp4 38.5 MB
32. Machine Learning with R - Natural Language Processing/3. Natural Language Processing with R - Part 2.mp4 37.4 MB
12. R Programming Basics/8. Functions.mp4 36.8 MB
18. Capstone Data Project/1. Introduction to Capstone Project.mp4 36.7 MB
9. R Data Frames/5. Overview of Data Frame Operations - Part 2.mp4 35.8 MB

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5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
16. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
9. Scikit-learn Creating Machine Learning Models/38. Tuning Hyperparameters.mp4 184.1 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4 174.7 MB
16. Career Advice + Extra Bits/3. What If I Don't Have Enough Experience.mp4 168.8 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/7. Feature Engineering.mp4 166.9 MB
9. Scikit-learn Creating Machine Learning Models/44. Putting It All Together.mp4 166.0 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictons.mp4 162.5 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4 156.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Turning Data Into Numbers.mp4 153.3 MB
5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
9. Scikit-learn Creating Machine Learning Models/14. Choosing The Right Model For Your Data.mp4 150.2 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Feature Importance.mp4 149.2 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4 147.7 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4 146.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/17. Preproccessing Our Data.mp4 146.1 MB
11. Milestone Project 1 Supervised Learning (Classification)/9. Finding Patterns 3.mp4 144.6 MB

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【影视】 [FreeTutorials.Us] Udemy - A-Z Machine Learning using Azure Machine Learning (AzureML)

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7. 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 91.7 MB
12. Text Analytics and Natural Language Processing/4. Feature Hashing.mp4 78.8 MB
1. Basics of Machine Learning/4. Why Machine Learning is the Future.mp4 72.1 MB
10. Feature Selection - Select a..highest impact/9. [Hands On] - Fisher Based LDA - Experiment.mp4 64.1 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
3. Data Processing/1. [Hands On] - Data Input-Output - Upload Data.mp4 53.5 MB
13. Thank You and Bonus Lecture/1. Way Forward.mp4 52.4 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..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 47.0 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/1. Logistic Regression - What is Logistic Regression.mp4 32.2 MB
4. Classification/4. Understanding the Confusion Matrix, AUC, Accuracy, Precision, Recall and F1Score.mp4 30.8 MB

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