PythonProjects

Machine Learning Methods and Algorithms in Python

Lessons:

2. Supervised Learning and K-Nearest Neighbor

3. Sklearn Train_Test_Split Validation Linear Reression

4. Logistic Regression and Classification Error Metrics

5. Naive Bayes Grid Search Pipelines

6. Support Vector Machine (SVM) with Kernels

7. Decision Trees

8. Bagging

9. Clustering Methods

The notebook file will indicate which data set is used for that project.

Data set files are in a zip.

Project:

Regression Machine Learning to Predict Concrete Compressive Strength

NOTE: Some functions/syntax may have depreciated, these project files are no longer being updated.