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  • Wren Clark
    1 min read
    ahmad

    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.

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