Deeksha-Shet / Project-in-Python

This repository contains work that has been done on various concepts of Python like linear regression, logistic regression, decision tree, Random forest, KNN, and K-means algorithm

Python Projects

1.Customer Churn Analysis

• Analysis of Employment reliability of employees in the telecom industry:-
• Used Customer Churn data set for Data Cleaning, Data Analysis, Data Visualization to understand the data.
• Implemented different algorithms like linear regression, Logistic regression, Decision Tree, Random forest, k- nearest neighbor.
• URL : https://github.com/Deeksha-Shet/Project-in-Python/blob/main/Customer%20Churn%20Analysis-Python.ipynb

2.. Cars dataset prediction Analysis

MARKET DOMAIN

• Used K-means clustering algorithm to help a user to make an informed buying decision about a car.
• Used Elbow method to find the optimal number of clusters
• URL : https://github.com/Deeksha-Shet/Project-in-Python/blob/main/K-means%20clustering.ipynb