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【影视】 [FreeCourseLab.me] Udemy - Ensemble Machine Learning in Python Random Forest, AdaBoost

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6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Bootstrap Estimates and Bagging/1. Bootstrap Estimation.mp4 50.0 MB
6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
2. Bias-Variance Trade-Off/4. Polynomial Regression Demo.mp4 43.8 MB
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3. Bootstrap Estimates and Bagging/1. Bootstrap Estimation.srt 31.5 MB
6. Appendix FAQ/11. What order should I take your courses in (part 1).mp4 30.8 MB
6. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25.7 MB
3. Bootstrap Estimates and Bagging/5. Bagging Classification Trees.mp4 21.3 MB
4. Random Forest/6. Connection to Deep Learning Dropout.srt 19.9 MB
5. AdaBoost/4. AdaBoost Implementation.srt 19.4 MB
4. Random Forest/1. Random Forest Algorithm.srt 17.7 MB
3. Bootstrap Estimates and Bagging/4. Bagging Regression Trees.mp4 16.6 MB
5. AdaBoost/4. AdaBoost Implementation.mp4 16.5 MB
4. Random Forest/2. Random Forest Regressor.mp4 15.6 MB
6. Appendix FAQ/6. How to Code by Yourself (part 2).mp4 15.5 MB

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【影视】 [LinkedIn Learning] Bill Weinman - Python Essential Training

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15. Databases/2. A database interface.mp4 37.6 MB
15. Databases/3. Example- Short URL database.mp4 33.7 MB
2. Installation/1. Installing Python and PyCharm on a Mac.mp4 33.1 MB
8. Functions/2. Function arguments.mp4 21.7 MB
14. Modules/2. Creating a module.mp4 18.6 MB
14. Modules/1. Using standard modules.mp4 17.6 MB
11. String Objects/3. Formatting strings.mp4 16.5 MB
9. Classes/2. Constructing an object.mp4 14.7 MB
10. Exceptions/1. Handling exceptions.mp4 14.6 MB
8. Structured Data/3. Dictionaries.mp4 14.6 MB
2. Installation/2. Installing Python and Komodo on Windows.mp4 14.2 MB
9. Classes/3. Class methods.mp4 14.1 MB
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11. String Objects/2. Common string methods.mp4 13.0 MB
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8. Structured Data/2. Lists and tuples.mp4 12.9 MB
15. Databases/1. Python database API.mp4 12.5 MB
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8. Functions/1. Defining a function.mp4 12.4 MB

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【文档书籍】 Dulhare U. Machine Learning and Big Data. Concepts,...App 2021

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - AWS Certified Machine Learning Specialty 2020 - Hands On.zip

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【影视】 [UdemyCourseDownloader] Learning Cloud Computing Core Concepts

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13 - Understand the TCO.mp4 14.6 MB
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24. Comparatives, Superlatives, and Arrivederci! Tuscany II.mp4 533.7 MB
3. Nouns and Adjectives Sicily II.mp4 526.1 MB
1. Benvenuti to Italian and Italy’s 20 Regions!.mp4 495.2 MB
15. Reciprocal Verbs and Negatives Veneto.mp4 489.0 MB
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18. Passato Prossimo with Avere Umbria.mp4 441.8 MB
9. Modal Verbs, Sapere, and Conoscere Liguria.mp4 439.9 MB
16. Present Progressive and Suffixes Piedmont.mp4 434.5 MB
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02 - Why Machine Learning.mp4 102.3 MB
01 - Why this course.mp4 94.6 MB
04 - How does a neuron work.mp4 77.8 MB
20 - Alternative - Hosting your model on Google Cloud ML.mp4 74.5 MB
15 - Training a network with TensorFlow and the Keras API.mp4 62.4 MB
13 - Our first network with TensorFlow and the Keras API.mp4 56.0 MB
14 - Evaluating our model.mp4 55.6 MB
06 - Activation Functions.mp4 43.9 MB
08 - How does a network learn.mp4 43.4 MB
11 - Python Notebooks on Colab.mp4 32.0 MB
12 - Getting to know our data.mp4 31.7 MB
16 - Making our model more general.mp4 30.5 MB
17 - Summing up and saving our final model.mp4 29.0 MB
07 - Fully Connected Feed Forward Networks.mp4 26.8 MB
03 - Our problem in the TensorFlow Playground.mp4 25.3 MB
05 - Drawing Decision Boundaries with a single neuron.mp4 23.0 MB
18 - Converting the Keras model for tensorflow.js.mp4 20.8 MB
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【影视】 [FreeCourseLab.com] Udemy - Machine Learning Practical 6 Real-World Applications

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2. Breast Cancer Classification/8. Improving the Model.mp4 199.0 MB
2. Breast Cancer Classification/5. Data Visualisation.mp4 147.3 MB
3. Fashion Class Classification/3. Data Visualisation.mp4 136.5 MB
3. Fashion Class Classification/7. Model Training Part IV.mp4 134.4 MB
3. Fashion Class Classification/6. Model Training Part III.mp4 132.1 MB
3. Fashion Class Classification/4. Model Training Part I.mp4 108.8 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/2. Data.mp4 106.9 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/12. Grid Search Part 2.mp4 102.8 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/10. Model Building Part 2.mp4 98.0 MB
3. Fashion Class Classification/1. Business Challenge.mp4 96.7 MB
2. Breast Cancer Classification/7. Model Evaluation.mp4 95.8 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/9. Feature Scaling & Balancing.mp4 83.6 MB
2. Breast Cancer Classification/4. Challenge in Machine Learning Vocabulary.mp4 82.9 MB
3. Fashion Class Classification/5. Model Training Part II.mp4 82.1 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/2. Data.mp4 81.2 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/1. Introduction.mp4 78.8 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/11. Grid Search Part 1.mp4 78.0 MB
3. Fashion Class Classification/8. Model Evaluation.mp4 77.2 MB
4. Directing Customers to Subscription Through App Behavior Analysis/10. Model Building.mp4 75.8 MB
4. Directing Customers to Subscription Through App Behavior Analysis/8. Feature Engineering - Screens.mp4 74.5 MB

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【压缩文件】 Udemy Machine Learning with Python Data Science for Beginners.rar

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【影视】 [DesireCourse.Net] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

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18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4 128.6 MB
19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.7 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
19. Appendix FAQ/8. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.5 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB

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【影视】 [FreeCoursesOnline.Me] [Packt] Hands-On Problem Solving for Machine Learning [FCO]

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6.Diagnosing Issues with Models/19.Dealing with Overfitting Using Regularization.mp4 168.7 MB
1.Working with Machine Learning/02.Goals and Variations in Machine Learning.mp4 113.8 MB
5.Predicting the Future/16.Find the Best Model with Hyperparameter Search.mp4 40.9 MB
4.Logistic Regression Classify/11.Exploring and Cleaning the Plants Dataset.mp4 40.2 MB
6.Diagnosing Issues with Models/17.Understanding Our Accuracy in Predicting Numbers.mp4 39.5 MB
5.Predicting the Future/15.Create Complex Models with Scikit-learn Pipelines.mp4 38.8 MB
4.Logistic Regression Classify/13.Implementing Train-Test-Splits and Logistic Regression.mp4 38.7 MB
2.Data Wrangling/06.Parsing Timestamps and Splitting Columns.mp4 38.3 MB
1.Working with Machine Learning/03.Installing WinPython and Using Jupyter Notebooks.mp4 36.3 MB
5.Predicting the Future/14.Build a Robust Model with Cross Validation.mp4 34.4 MB
3.Linear Regression — Predict Median Living Costs/10.Troubleshooting Linear Regression.mp4 34.4 MB
3.Linear Regression — Predict Median Living Costs/09.Implementing Linear Regression with Scikit-learn.mp4 33.3 MB
3.Linear Regression — Predict Median Living Costs/08.Understanding Linear Regression.mp4 33.1 MB
2.Data Wrangling/07.Loading Data from Excel, CSVs, and SQL.mp4 32.5 MB
1.Working with Machine Learning/04.Exploring Your Data Using Pandas.mp4 32.4 MB
2.Data Wrangling/05.Types of Messy Data and How to Clean Them.mp4 32.1 MB
6.Diagnosing Issues with Models/18.Assessing Our Correctness in Predicting Labels.mp4 31.4 MB
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05.Traffic Sign Classifier/0502.Implementing Traffic Sign Classifier.mp4 132.1 MB
01.Getting Started with TensorFlow/0104.Warming Up Examples.mp4 95.0 MB
04.Anomaly Detection Algorithm/0402.Server Computer's Behavior.mp4 75.4 MB
03.Linear Regression with Multi Variable/0303.Problem Solution.mp4 69.3 MB
02.Linear Regression with One Variable/0203.Problem Statement and Solution.mp4 55.0 MB
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02.Linear Regression with One Variable/0202.Model Representation and Gradient Descent.mp4 15.0 MB
01.Getting Started with TensorFlow/0103.Installing TensorFlow.mp4 14.6 MB
01.Getting Started with TensorFlow/0101.The Course Overview.mp4 12.7 MB
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03.Linear Regression with Multi Variable/0301.Model Representation.mp4 2.2 MB
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【压缩文件】 [ FreeCourseWeb.com ] CloudAcademy - Introduction to the Principles and Practice of Amazon Machine Learning.zip

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