Step-by-step guidance to help you grow from a learner into a confident professional—gain the skills, mindset, and real-world experience needed to excel and lead in your field.
Probability & Statistics for Machine Learning & Data Science
Skills Covered: Probability Theory, Statistical Analysis, Machine Learning Statistics
Data Science: Statistics and Machine Learning
Skills Covered: Statistics, Machine Learning, R Programming
Data for Machine Learning
Skills Covered: Data Preprocessing, Feature Engineering, Machine Learning
Mathematics for Machine Learning
Skills Covered: Linear Algebra, Multivariate Calculus, Principal Component Analysis
Machine Learning
Skills Covered: Machine Learning, Python Programming, Data Analysis
Machine Learning Basics for Everyone
Skills Covered: Machine Learning, Artificial Intelligence, Data Features
Machine Learning for Computer Vision
Skills Covered: Computer Vision, Machine Learning, Image Classification
Machine Learning for Data Analysis
Skills Covered: Machine Learning, Data Analysis, Decision Trees
Mathematics for Machine Learning: PCA
Skills Covered: Principal Component Analysis, Linear Algebra, Dimensionality Reduction
Machine Learning Introduction for Everyone
Skills Covered: machine learning, artificial intelligence, deep learning
