Machine Learning Course

Course Overview

This is our flagship course, designed to be the most thorough Machine Learning program available. In 100 sessions, we will guide you through the entire ML lifecycle, from data preprocessing and exploratory data analysis to building, training, and deploying sophisticated machine learning models. You will gain a deep, intuitive understanding of the theory behind the algorithms and extensive hands-on experience applying them to solve complex, real-world problems.

What You'll Learn:

• Foundations: Linear Algebra, Calculus, and Probability for ML.
• Supervised Learning: Linear/Logistic Regression, SVM, Decision Trees, Random Forests, Gradient Boosting.
• Unsupervised Learning: K-Means Clustering, PCA, and Dimensionality Reduction.
• Deep Learning Basics: Introduction to Neural Networks and frameworks like TensorFlow/PyTorch.
• Model Engineering: Feature Engineering, Hyperparameter Tuning, and Model Evaluation.
• Deployment: Learn to deploy your models as APIs for use in web applications.