Oasis Infobyte Data Analytics Internship Projects

This repository contains the tasks completed during my Data Analytics Internship at Oasis Infobyte.

Projects Completed

Level 1

1. Exploratory Data Analysis (EDA)

   • Analyzed retail sales dataset
   • Used Pandas, Matplotlib, and Seaborn for visualization

2. Customer Segmentation

   • Applied clustering techniques to segment customers
   • Used K-Means clustering for analysis

3. Data Cleaning

   • Handled missing values
   • Removed duplicates
   • Performed preprocessing

Level 2

4. House Price Prediction

   • Built a machine learning model using Linear Regression
   • Predicted house prices based on features

5. Wine Quality Prediction

   • Used classification models to predict wine quality

6. Fraud Detection

   • Built a Random Forest model to detect fraudulent transactions

Technologies Used

• Python
• Pandas
• NumPy
• Matplotlib
• Seaborn
• Scikit-learn
• Google Colab

Author

Divyesh
Data Analytics Intern – Oasis Infobyte