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

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

Name		Name	Last commit message	Last commit date
Latest commit History 33 Commits
Customer Churn Analysis.ipynb		Customer Churn Analysis.ipynb
Customer_Churn_Analysis.csv		Customer_Churn_Analysis.csv
K-means clustering .ipynb		K-means clustering .ipynb
K_means Clustering Cars.csv		K_means Clustering Cars.csv
README.md		README.md
Sales Prediction using Linear Regression.ipynb		Sales Prediction using Linear Regression.ipynb
Sales prediction advertisement.csv		Sales prediction advertisement.csv