supervised_learning

Structure supervised learning

This part contains code for Classification and Regression algorithms. The classification algorithms are used to predict the class of a given data point. The regression algorithms are used to predict the value of a given data point.

The classification folder contains tutorials for the following algorithms/notebooks:

• Exploratory Data Analysis
• Decision Tree
• Random Forest
• Gradient Boosting

If you are new to machine learning, we recommend going through the notebooks in the above order.

Additionally, the classification folder contains the following notebooks:

• k-Nearest Neighbors
• Decision Tree
• Random Forest
• Gradient Boosting

The regression folder contains the following algorithms:

• Linear Regression