Real World Some Machine Learning Projects
1. Fake News Detection (NLP)
Description: Classify whether a news article is real or fake.
Skills Used: Text preprocessing, TF-IDF, Logistic Regression or LSTM.
Dataset: Fake News Dataset on Kaggle
📦 2. Product Recommendation System
Description: Recommend products based on user behavior (Amazon-like system).
Skills Used: Collaborative filtering, Matrix Factorization, Cosine similarity.
Dataset: Amazon Product Data
🏥 3. Disease Prediction from Symptoms
Description: Predict diseases based on symptoms (great for healthcare-focused apps).
Skills Used: Decision Trees, Random Forests.
Dataset: Disease Prediction Dataset on Kaggle
💳 4. Credit Card Fraud Detection
Description: Detect fraudulent transactions.
Skills Used: Anomaly detection, Imbalanced datasets (SMOTE), Logistic Regression.
Dataset: Credit Card Fraud Dataset
🎓 5. Student Performance Predictor
Description: Predict student scores based on study hours, attendance, etc.
Skills Used: Regression models (Linear Regression, Random Forest Regressor).
Dataset: Student Performance Dataset
📈 6. Stock Price Prediction
Description: Predict future stock prices using historical data.
Skills Used: Time series analysis, LSTM, ARIMA.
Dataset: Use Yahoo Finance via yfinance in Python.
🚗 7. Car Price Prediction
Description: Predict used car prices based on features.
Skills Used: Regression, Feature engineering.
Dataset: Used Cars Dataset on Kaggle
🧠 8. Resume Screening with NLP
Description: Classify resumes into categories like Data Scientist, Web Developer, etc.
Skills Used: NLP, TF-IDF, Classification models.
Bonus: Build it into a Django or Flask app.