Scikit-Learn
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Supervised Learning: Comparing 5 Machine Learning Classification Algorithms
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Introduction Supervised Learning is one of the most widely used approaches in machine learning for solving classification and prediction problems. In this project, I explored supervised learning by comparing…
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Tuned Ensemble Pipeline – From Baseline Model to an Optimized Machine Learning Solution
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Milestone: Tuned Ensemble Pipeline 🚀 Excited to share that I’ve completed the “Tuned Ensemble Pipeline” as part of my internship at @Valentius Kryptix! In this project, I: Built a…
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Supervised Learning: Comparing 5 Machine Learning Algorithms on a Real Dataset
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A practical comparison of five supervised learning algorithms—Logistic Regression, Decision Tree, KNN, SVM, and Naive Bayes—trained on the same real-world dataset and evaluated using consistent preprocessing and classification metrics.