During my Artificial Intelligence with Python internship, I developed and implemented machine learning models for image classification, sentiment analysis, and prediction tasks.
I preprocessed data and engineered features with Pandas, NumPy, and Scikit-learn, then trained supervised models including Logistic Regression, Random Forest, and SVM.
In my Machine Learning internship, I developed and tuned predictive models using cross-validation, hyperparameter tuning, and GridSearchCV. I also used exploratory data analysis to find insights in raw datasets.
My projects include diabetes prediction, bike-sharing demand prediction, and order prediction. I evaluated models with classification metrics and built regression models to study bike rental demand.
