Machine Learning with Python by Coursera
Course Highlights
- Describe the various types of Machine Learning algorithms and when to use them.
- Compare and contrast linear classification methods including multiclass prediction, support vector machines, and logistic regression .
- Write Python code that implements various classification techniques including K-Nearest neighbors (KNN), decision trees, and regression trees.
- Evaluate the results from simple linear, non-linear, and multiple regression on a data set using evaluation metrics.
Skills you will learn!
Curriculum
7 Topics
Course Introduction
Welcome
Introduction to Machine Learning
Python for Machine Learning
Supervised vs Unsupervised
Graded Quiz: Intro to Machine Learning
Practice Quiz: Intro to Machine Learning
12 Topics
Introduction to Regression
Simple Linear Regression
Model Evaluation in Regression Models
Evaluation Metrics in Regression Models
Multiple Linear Regression
Errata for "Evaluation Matrix in Regression Model" Video
Errata: Simple Linear Regression Video
Errata: Multiple Linear Regression Video
Graded Quiz: Regression
Practice Quiz: Regression
Lab: Simple Linear Regression
Lab: Multiple Linear Regression
13 Topics
Introduction to Classification
K-Nearest Neighbours
Evaluation Metrics in Classification
Introduction to Decision Trees
Building Decision Trees
Regression Trees
Graded Quiz: Classification
Practice Quiz: Classification
Lab: KNN
Lab: Decision Trees
(Optional) Lab: Faster Credit Card Fraud Detection using Snap ML
Lab: Regression Trees
(Optional) Lab: Faster Taxi Tip Prediction using Snap ML
11 Topics
Intro to Logistic Regression
Logistic regression vs Linear regression
Logistic Regression Training
Support Vector Machine
Multiclass Prediction
Graded Quiz: Linear Classification
Practice Quiz: Linear Classification
Lab: Logistic Regression
Lab: SVM (Support Vector Machines)
Lab: Multiclass Prediction
GridSearchCV: Hyperparameter Tuning in Machine Learning
6 Topics
Intro to Clustering
Intro to k-Means
More on k-Means
Graded Quiz: Clustering
Practice Quiz: Clustering
Lab: k-Means
6 Topics
Congratulations!
IBM Digital Badge
Project Scenario
Final Exam
Submit Your Work and Review Your Peers
Lab: Rain Prediction in Australia
Machine Learning with Python
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