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Oct 10, 2016 - JavaScript
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model-persistency
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A comprehensive collection of core Python, Data Preprocessing, and Machine Learning concepts that covers NumPy, Pandas, Matplotlib, Seaborn, supervised & unsupervised ML models (Linear/Logistic Regression, KNN, SVM, Decision Trees, K-Means, Naive Bayes), along with feature scaling, PCA, ANN, NLP basics, and real-world EDA & ML projects.
python natural-language-processing statistics sql numpy linear-regression pandas seaborn naive-bayes-classifier artificial-neural-networks logistic-regression matplotlib oop-principles feature-engineering support-vector-machines principal-component-analysis model-persistency decision-tree-classifier kmeans-clustering knn-classification
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Apr 11, 2025 - Jupyter Notebook
Includes all of my Jupyter Notebook assignments from my time at MIT's Break Through AI/ML Program.
feature-selection hyperparameters logistic-regression dataframe grid-search model-persistency scikitlearn-machine-learning receiver-operating-characteristic training-dataset precision-recall area-under-curve test-dataset feature-selection-methods optimal-value
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Dec 26, 2024 - Jupyter Notebook
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