Fully functional implementations of the most popularly used machine learning algorithms, in Python.
-
Data Pre-Processing
1.1 Data Pre-Processing - Data.csv -
Regression
2.1. Simple Linear Regression - Salary_Data.csv
2.2. Multiple Linear Regression - 50_Startups.csv
2.3. Polynomial Regression - Position_Salaries.csv
2.4. Support Vector Regression - Position_Salaries.csv
2.5. Decision Tree Regression - Position_Salaries.csv
2.6. Random Forest Regression - Position_Salaries.csv -
Classification
3.1. Logistic Regression - Social_Network_Ads.csv
3.2. K-Nearest Neighbors - Social_Network_Ads.csv
3.3. Support Vector Machine (Linear) - Social_Network_Ads.csv
3.4. Kernel (RBF) Support Vector Machine - Social_Network_Ads.csv