This repository contains the implementation of python of the following machine learning algorithms:
- Regression (Linear, Non-Linear)
- Classification (KNN, Decision Tree, Logistic Regression, SVM)
- Clustering (K-Means, DBSCAN, Hierarchical)
Contains the notebooks of the following projects:
- Prediction of CO2 Emission using Simple Linear Regression
- Cancer Cell Classification using SVM
- Predict the Telecommunication Customer Group using K-Nearest Neighbors
- Predicting Customer Churn using Logistic Regression
- Predicting Drug for a Future Patient with the Same Illness using Decision Tree Classifier.
- Customer Segmentation with K-Means
- Weather Station Clustering using DBSCAN & scikit-learn