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What are the best real-time projects for learning Data Science?
datasivdhsnvdsvc: 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. 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 7. House Price Prediction Domain: Real Estate Skills Used: Linear Regression, Feature Engineering Goal: Predict house prices based on area, location, features, etc. Dataset: Boston Housing Dataset / Ames Housing Dataset 8. Air Quality Index Prediction Domain: Environment Skills Used: Regression, Time Series Goal: Predict future air quality and pollution levels. Dataset: OpenAQ / UCI Repository Data Science classes in Pune Data Science course in Pune
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