Machine Learning Projects
Walmart Dataset, Domain: Demand Forecasting
Created a Walmart demand forecasting model by analyzing historical sales data with economic and holiday factors. Key steps involved EDA, feature selection, scaling, and hyperparameter tuning of Regressor Models, model selection and predictions. Results give insight on enhancing inventory, staffing, and marketing strategies. Based on this model, visualization and interactive predictions uses app.py file connected to Streamlit.
VIEW CODE Live PreviewHeart Failure Prediction, Domain: Healthcare and Medical Research
Developed a predictive model using Gradient Boosting Classifier to identify patients at risk of heart failure by analyzing clinical features. Key steps included exploratory data analysis, feature selection, scaling, and hyperparameter tuning. The model provides actionable insights to help healthcare providers improve preventive care and patient outcomes.
VIEW CODESentiment Analysis
Using Naive Bayes, MultinomialNB, to detect inappropriate/offensive content in tweets. Given a training set of tweets labeled '1' for discriminatory and '0' for non-discriminatory, the objective is to predict these labels in a test dataset.
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