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.
Machine Learning
Skills Covered: Machine Learning, Python Programming, Data Analysis
Machine Learning: Classification
Skills Covered: Machine Learning, Classification Algorithms, Logistic Regression
Machine Learning: Regression
Skills Covered: Linear Regression, Ridge Regression, Lasso
Practical Machine Learning
Skills Covered: Machine Learning, Prediction Models, Random Forests
Unsupervised Machine Learning
Skills Covered: Cluster Analysis, Dimensionality Reduction, K-Means
Machine Learning Capstone
Skills Covered: Machine Learning, Recommender Systems, Neural Networks
Introduction to Machine Learning: Supervised Learning
Skills Covered: Machine Learning, Python Programming, Supervised Learning
Machine Learning: an overview
Skills Covered: Machine Learning, Supervised Learning, Unsupervised Learning
Data for Machine Learning
Skills Covered: Data Preprocessing, Feature Engineering, Machine Learning
Optimizing Machine Learning Performance
Skills Covered: Machine Learning, Model Optimization, ML Strategy
Machine Learning: Clustering & Retrieval
Skills Covered: Data Clustering, K-Means, KD-Trees
