This course will introduce you to the fundamental concepts, algorithms, and applications of machine learning. Our expert instructor will guide you through topics such as data preprocessing, supervised and unsupervised learning algorithms, feature selection and dimensionality reduction, neural networks and deep learning, natural language processing, and reinforcement learning.

Session 1 - Introduction to Machine Learning

Session  2 - Data Preprocessing and Exploratory Data Analysis

Session  3 - Supervised Learning Algorithms

Session  4 - Feature Selection and Dimensionality Reduction

Session  5 - Evaluation and Model Selection

Session  6 - Unsupervised Learning Algorithms

Session  7 - Neural Networks and Deep Learning

Session  8 - Natural Language Processing (NLP)

Session  9 - Reinforcement Learning

Session 10 - Graduation Project