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

1. 1.Working with Machine Learning/01.The Course Overview.mp424.23MB
2. 1.Working with Machine Learning/02.Goals and Variations in Machine Learning.mp4108.52MB
3. 1.Working with Machine Learning/03.Installing WinPython and Using Jupyter Notebooks.mp434.58MB
4. 1.Working with Machine Learning/04.Exploring Your Data Using Pandas.mp430.94MB
5. 2.Data Wrangling/05.Types of Messy Data and How to Clean Them.mp430.57MB
6. 2.Data Wrangling/06.Parsing Timestamps and Splitting Columns.mp436.56MB
7. 2.Data Wrangling/07.Loading Data from Excel, CSVs, and SQL.mp430.95MB
8. 3.Linear Regression — Predict Median Living Costs/08.Understanding Linear Regression.mp431.56MB
9. 3.Linear Regression — Predict Median Living Costs/09.Implementing Linear Regression with Scikit-learn.mp431.75MB
10. 3.Linear Regression — Predict Median Living Costs/10.Troubleshooting Linear Regression.mp432.76MB
11. 4.Logistic Regression Classify/11.Exploring and Cleaning the Plants Dataset.mp438.33MB
12. 4.Logistic Regression Classify/12.Understanding Logistic Regression.mp423.99MB
13. 4.Logistic Regression Classify/13.Implementing Train-Test-Splits and Logistic Regression.mp436.94MB
14. 5.Predicting the Future/14.Build a Robust Model with Cross Validation.mp432.79MB
15. 5.Predicting the Future/15.Create Complex Models with Scikit-learn Pipelines.mp437.05MB
16. 5.Predicting the Future/16.Find the Best Model with Hyperparameter Search.mp438.99MB
17. 6.Diagnosing Issues with Models/17.Understanding Our Accuracy in Predicting Numbers.mp437.63MB
18. 6.Diagnosing Issues with Models/18.Assessing Our Correctness in Predicting Labels.mp429.95MB
19. 6.Diagnosing Issues with Models/19.Dealing with Overfitting Using Regularization.mp4160.87MB