00 Intro
Introduction to Machine Learning
01 Supervised Learning
How machines learn and make predictions from known and labeled data
03 Linear Regression
Predicting a continuous value with a linear model.
04 Logistic Regression
Predicting a binary outcome with a logistic model.
05 Neural Network
Introduction to Neural Networks and Deep Learning
06 Development Process
Machine learning project development process.
07 Performance Metrics
Evaluate the performance of machine learning models.
08 Decision Trees
Decision trees are a popular machine learning algorithm.
09 Clustering
Grouping similar data points together
10 Recommender Systems
Recommender systems are used to recommend items to users based on their preferences.
11 Reinforcment Learning
Reinforcement Learning is a type of machine learning that allows an agent to learn how to behave in …