#Python Projects Collection
This repository contains various Python projects, including data analysis, machine learning, deep learning, and AI automation.
Sales Data Analysis
📌 Sales Data Analysis - Analyzing sales trends, customer behavior, and business performance using Python & Pandas.
Stock Market Analysis - Tesla (TSLA)
📌 Stock Market Analysis - Analyzing Tesla (TSLA) stock trends, volatility, and future predictions using machine learning & technical indicators.
Cafe Sales Data Cleaning - Pandas & Python
📌 Cafe Sales Data Cleaning - Cleaning messy sales data by handling missing values, removing duplicates, and standardizing formats for accurate business insights.
Customer Sales Data Cleaning - Pandas
📌 Customer Sales Data Cleaning - Cleaning messy customer sales data by handling missing values, removing duplicates, and standardizing formats for accurate business insights.
Housing Price Prediction - Machine Learning & Linear Regression
📌 Housing Price Prediction - predicts house prices using the Ames Housing Dataset. We apply Linear Regression with Feature Engineering to improve predictive accuracy.
Customer Segmentation Analysis - Machine Learning & KMean Clustering 📌 Customer_Segmentation - applies K-Means Clustering to segment customers based on their shopping behavior to identify distinct customer groups for better marketing strategies.
Movie Recommendation System - Collaborative Filtering & Content-Based Filtering
📌 Movie Recommendation System - A personalized movie recommendation system built using the MovieLens dataset and implemented with Collaborative Filtering and Content-Based Filtering techniques.
Credit Card Fraud Detection - Machine Learning & Isolation Forest
📌 Credit Card Fraud Detection - This project implements a machine learning model to detect fraudulent credit card transactions using anomaly detection techniques like Isolation Forest. The goal is to accurately identify suspicious behavior in an imbalanced dataset.
Tesla Stock Price Forecasting (Time Series) - ARIMA & LSTM
📌 Tesla Stock Price Forecasting - This project uses two powerful time series forecasting models ARIMA and LSTM to predict Tesla stock prices based on historical data.