Machine Learning
. Utilized Pandas for data cleaning and preprocessing, including handling
missing values, feature engineering, and exploratory data analysis to
prepare datasets for machine learning models.
. Leveraged NumPy for efficient numerical computations, enabling fast
manipulation of large datasets and matrix operations.
. Implemented machine learning models using scikit-learn, such as linear
regression, decision trees, and support vector machines, to solve
classification and regression problems.