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

6.Diagnosing Issues with Models/19.Dealing with Overfitting Using Regularization.mp4

1.Working with Machine Learning/02.Goals and Variations in Machine Learning.mp4

5.Predicting the Future/16.Find the Best Model with Hyperparameter Search.mp4

4.Logistic Regression Classify/11.Exploring and Cleaning the Plants Dataset.mp4

6.Diagnosing Issues with Models/17.Understanding Our Accuracy in Predicting Numbers.mp4

5.Predicting the Future/15.Create Complex Models with Scikit-learn Pipelines.mp4

4.Logistic Regression Classify/13.Implementing Train-Test-Splits and Logistic Regression.mp4

2.Data Wrangling/06.Parsing Timestamps and Splitting Columns.mp4

1.Working with Machine Learning/03.Installing WinPython and Using Jupyter Notebooks.mp4

5.Predicting the Future/14.Build a Robust Model with Cross Validation.mp4

3.Linear Regression — Predict Median Living Costs/10.Troubleshooting Linear Regression.mp4

3.Linear Regression — Predict Median Living Costs/09.Implementing Linear Regression with Scikit-learn.mp4

3.Linear Regression — Predict Median Living Costs/08.Understanding Linear Regression.mp4

2.Data Wrangling/07.Loading Data from Excel, CSVs, and SQL.mp4

1.Working with Machine Learning/04.Exploring Your Data Using Pandas.mp4

2.Data Wrangling/05.Types of Messy Data and How to Clean Them.mp4

6.Diagnosing Issues with Models/18.Assessing Our Correctness in Predicting Labels.mp4

1.Working with Machine Learning/01.The Course Overview.mp4

4.Logistic Regression Classify/12.Understanding Logistic Regression.mp4

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