What are the best real-time projects for learning Data Science?

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Here are some of the best real-time projects for learning Data Science, ideal for both beginners and intermediate learners:

1. Customer Churn Prediction
Domain: Telecom / SaaS

Skills Used: Logistic Regression, Classification, EDA

Goal: Predict whether a customer will leave the service. Also Explore Data Science Interview Questions and Answers

Dataset: Telco Customer Churn (Kaggle)

2. Movie Recommendation System
Domain: Entertainment

Skills Used: Collaborative Filtering, Matrix Factorization, NLP (optional)

Goal: Suggest movies to users based on their viewing history.

Dataset: MovieLens Dataset

3. Sentiment Analysis on Tweets or Reviews
Domain: Social Media / Marketing

Skills Used: NLP, Text Cleaning, Classification

Goal: Classify user feedback into positive, negative, or neutral sentiments.

Dataset: Twitter Sentiment or IMDB Reviews

4. Stock Price Prediction
Domain: Finance

Skills Used: Time Series Forecasting, ARIMA, LSTM (deep learning)

Goal: Predict the future stock price of a company.

Dataset: Yahoo Finance API / Kaggle

5. Sales Forecasting
Domain: Retail / E-commerce

Skills Used: Time Series, Regression, Data Preprocessing

Goal: Forecast monthly or daily sales for inventory planning.

Dataset: Walmart Sales Forecasting

6. Credit Card Fraud Detection
Domain: Banking

Skills Used: Anomaly Detection, Classification

Goal: Detect unusual or fraudulent transactions.

Dataset: Kaggle Credit Card Fraud Detection

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