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 and Reinforcement Learning in Finance
Skills Covered: Conflict Resolution, Active Listening, Communication Skills
Unsupervised Algorithms in Machine Learning
Skills Covered: Unsupervised Learning, Clustering, Dimensionality Reduction
Machine Learning in the Enterprise
Skills Covered: TensorFlow, Machine Learning, Cloud Computing
Machine Learning Models in Science
Skills Covered: Random Forest, Neural Networks, Python Programming
Applied Machine Learning in Python
Skills Covered: Machine Learning, Scikit-learn, Python Programming
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
Bayesian Statistics
Skills Covered: bayesian statistics, bayes rule, prior probability
