logstic-regression

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parvvaresh / machine-learning-from-scratch

Here we have fully implemented a number of algorithms related to machine learning

random-forest linear-regression naive-bayes-classifier pca-analysis pca cosine-similarity decision-tree svm-classifier knn-classification logstic-regression

Updated
Python

karindaamelia / Student-Dropout-Prediction-System-ML-Powered-Analytics-and-Early-Intervention-Dashboard

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Developed a predictive analytics system to identify student dropout risk using ML models (Random Forest, Logistic Regression, AdaBoost, LDA, QDA) with GridSearchCV tuning. Built interactive dashboards with Streamlit and Tableau for early intervention insights and data-driven decision-making.

python machine-learning random-forest adaboost tableau predictive-analytics quadratic-discriminant-analysis linear-discriminant-analysis gridsearchcv streamlit logstic-regression

Updated
Jupyter Notebook

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