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enroll@learnfast.ca
(647) 797-0897
Mississauga, Ontario CA
Machine Learning with Python
Free
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Curriculum
5 Sections
27 Lessons
10 Weeks
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Introduction to Machine Learning
3
2.1
Introduction to Machine Learning
2.2
Python for Machine Learning
2.3
Supervised vs Unsupervised
Regression
6
3.1
Introduction to Regression
3.2
Simple Linear Regression
3.3
Model Evaluation in Regression Models
3.4
Evaluation Metrics in Regression Models
3.5
Multiple Linear Regression
3.6
Non-Linear Regression
Classification
9
4.1
Introduction to Classification
4.2
K-Nearest Neighbours
4.3
Evaluation Metrics in Classification
4.4
Introduction to Decision Trees
4.5
Building Decision Trees
4.6
Intro to Logistic Regression
4.7
Logistic Regression vs Linear Regression
4.8
Logistic Regression Training
4.9
Support Vector Machine
Clustering
6
5.1
Intro to Clustering
5.2
Intro to k-Means
5.3
k-Means Accuracy
5.4
Intro to Hierarchical Clustering
5.5
More on Hierarchical Clustering
5.6
DBSCAN
Recommender Systems
3
6.1
Intro to Recommender Systems
6.2
Content-based Recommender Systems
6.3
Collaborative Filtering
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