Scikit-learn
1 post3 projects
- Understanding GridSearchCVA clear explanation of hyperparameter optimization and cross-validation using Scikit-learn GridSearchCV.Post
- Kindle Review Sentiment AnalysisSentiment analysis on Amazon Kindle reviews using various NLP techniques: Implemented multiple text vectorization methods (BOW, TF-IDF, Word2Vec), built and compared different classification models, processed and analyzed the Kindle Reviews dataset.Project
- HR Insights at Salifort MotorsAnalyzed HR data to understand attrition drivers at Salifort Motors. Used EDA and ML (Random Forest, Decision Tree) for prediction. Achieved 96.2% accuracy, 93.8% AUC. Delivered actionable retention insights.Project
- Student Performance PredictionPredicted student academic outcomes using demographic and educational data. Applied EDA, preprocessing, and classification models. Helped identify at-risk students early.Project
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