ML-Algorithms

Fully functional implementations of the most popularly used machine learning algorithms, in Python.

1. Data Pre-Processing 1.1 Data Pre-Processing - Data.csv

2. 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

3. 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