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1. movie-review-sentiment-analysis-bilstm movie-review-sentiment-analysis-bilstm Public

   Sentiment analysis on IMDb movie reviews using a Bidirectional LSTM neural network. The project applies NLP preprocessing and deep learning with TensorFlow/Keras to classify reviews as positive or …

   Jupyter Notebook

2. customer-segmentation-kmeans customer-segmentation-kmeans Public

   Customer segmentation using K-Means clustering on Online Retail II dataset. Includes RFM analysis, data preprocessing, and detailed business insights for customer targeting and retention strategies.

   1

3. bank-marketing-classification bank-marketing-classification Public

   Machine learning classification system to predict bank term deposit subscriptions using Apache Spark MLlib. Achieves 89.88% accuracy with Random Forest classifier.

   Jupyter Notebook

4. Student-Performance-Prediction Student-Performance-Prediction Public

   Predicting student academic success using machine learning. Includes data preprocessing, model comparison (Random Forest, KNN), and feature importance analysis with 89% accuracy.

   Python

5. student_manager student_manager Public

   A machine learning project for sales data analysis and forecasting. This notebook applies data preprocessing, feature engineering, and regression models to predict future sales trends.

   Jupyter Notebook

6. vehicle-co2-emissions-prediction vehicle-co2-emissions-prediction Public

   High-precision ML regression model predicting vehicle CO2 emissions from technical specifications. Achieves R²=0.9972 with Random Forest using Transport Canada data.

   Jupyter Notebook