Hands-on Courses

Service Description

Complete hands-on learning courses conducted by experts with university teaching experiences Fundamentals of Machine Learning: Linear & Logistic Regression, Random Forest & Ensemble Learning, Classification and Clustering Algorithms, AdaBoost & XGBoost, and more Fundamentals of Neural Networks and Deep Learning: Deep Neural Networks (DNNs), Convolutional & Recurrent Neural Networks (CNNs & RNNs), Intro to Computer Vision (CV), Intro to Natural Language Processing (NLP) & Large Language Models (LLMs), and more Advanced Techniques in Machine Learning: Features extraction & Principal Component Analysis/Regression, Hyper-parameter tuning techniques, regularization techniques, architectural designs for DNNs, and more Hands-on Projects at the end of every sections