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[FreeCoursesOnline.Us] Machine-Learning-Essential-Training-Value-Estimations

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Total Size

154.8 MB

Total Files

61

Hash

10BD6A0EBD7B85D266394475DF35A01CB94F3AB0

/00 Introduction/

001 Welcome.mp4

7.1 MB

001 Welcome.srt

1.7 KB

002 What you should know.mp4

634.4 KB

002 What you should know.srt

0.9 KB

003 Using the exercise files.mp4

1.3 MB

003 Using the exercise files.srt

1.3 KB

004 Set up the development environment.mp4

7.2 MB

004 Set up the development environment.srt

5.2 KB

/01 What Is Machine Learning and Value Prediction_/

001 What is machine learning_.mp4

4.8 MB

001 What is machine learning_.srt

9.2 KB

002 Supervised machine learning for value prediction.mp4

5.5 MB

002 Supervised machine learning for value prediction.srt

6.8 KB

003 Build a simple home value estimator.mp4

7.4 MB

003 Build a simple home value estimator.srt

6.1 KB

004 Find the best weights automatically.mp4

7.2 MB

004 Find the best weights automatically.srt

10.1 KB

005 Cool uses of value prediction.mp4

7.0 MB

005 Cool uses of value prediction.srt

5.1 KB

/02 An Overview of Building a Machine Learning System/

001 Introduction to NumPy, scikit-learn, and pandas.mp4

2.2 MB

001 Introduction to NumPy, scikit-learn, and pandas.srt

3.2 KB

002 Think in vectors_ How to work with large data sets efficiently.mp4

5.9 MB

002 Think in vectors_ How to work with large data sets efficiently.srt

6.5 KB

003 The basic workflow for training a supervised machine learning model.mp4

3.9 MB

003 The basic workflow for training a supervised machine learning model.srt

5.6 KB

004 Gradient boosting_ A versatile machine learning algorithm.mp4

6.4 MB

004 Gradient boosting_ A versatile machine learning algorithm.srt

9.0 KB

/03 Training Data/

001 Explore a home value data set.mp4

8.7 MB

001 Explore a home value data set.srt

7.0 KB

002 Standard conventions for naming training data.mp4

1.6 MB

002 Standard conventions for naming training data.srt

1.8 KB

003 Decide how much data you need.mp4

4.0 MB

003 Decide how much data you need.srt

4.5 KB

/04 Features/

001 Feature engineering.mp4

7.3 MB

001 Feature engineering.srt

10.2 KB

002 Choose the best features for home value prediction.mp4

9.3 MB

002 Choose the best features for home value prediction.srt

8.1 KB

003 Use as few features as possible_ The curse of dimensionality.mp4

3.3 MB

003 Use as few features as possible_ The curse of dimensionality.srt

4.3 KB

/05 Coding Our System/

001 Prepare the features.mp4

5.2 MB

001 Prepare the features.srt

3.5 KB

002 Training vs. testing data.mp4

3.1 MB

002 Training vs. testing data.srt

2.3 KB

003 Train the value estimator.mp4

9.3 MB

003 Train the value estimator.srt

6.2 KB

004 Measure accuracy with mean absolute error.mp4

4.7 MB

004 Measure accuracy with mean absolute error.srt

3.1 KB

/06 Improving Our System/

001 Overfitting and underfitting.mp4

4.7 MB

001 Overfitting and underfitting.srt

6.5 KB

002 The brute force solution_ Grid search.mp4

6.4 MB

002 The brute force solution_ Grid search.srt

6.3 KB

003 Feature selection.mp4

7.2 MB

003 Feature selection.srt

5.7 KB

/07 Using the Estimator in a Real-World Program/

001 Predict values for new data.mp4

8.0 MB

001 Predict values for new data.srt

5.7 KB

002 Retrain the classifier with fresh data.mp4

3.8 MB

002 Retrain the classifier with fresh data.srt

3.9 KB

/08 Conclusion/

001 Wrap-up.mp4

1.5 MB

001 Wrap-up.srt

1.9 KB

/

[FreeCoursesOnline.Us].url

0.1 KB

[FreeTutorials.Us].url

0.1 KB

[FTU Forum].url

0.3 KB

 

Total files 61


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