This repository contains Machine Learning Projects in Python programming language. All the projects are done on Jupyter Notebooks.

The following libraries are required to successfully implement the projects.

• Python 3.6+
• NumPy (for Linear Algebra)
• Pandas (for Data Preprocesssing)
• Scikit-learn (for ML models)
• Matplotlib (for Data Visualization)
• Seaborn (for statistical data visualization)

The projects are divided into various categories listed below -

• Linear Regression
• Logistic Regression
• Support Vector Machine
• K Nearest Neighbours
• Naive Bayes
• Decision Tree Classification
• Random Forest Classification

• K Means Clustering K-Means clustering is used to find intrinsic groups within the unlabelled dataset and draw inferences.

• Text Analytics
• Sentiment Analysis