Machine Learning
Built ML models with NumPy & scikit-learn, build & train supervised models for prediction & binary classification tasks (linear, logistic regression) Built & trained a neural network with TensorFlow to perform multi-class classification, & built & used decision trees & tree ensemble methods Applied best practices for ML development & use unsupervised learning techniques for unsupervised learning including clustering & anomaly detection Built recommender systems with a collaborative filtering approach & a content-based deep learning method & built a deep reinforcement learning model