Machine Learning with Python | This Machine Learning with Python course dives into the basics of Machine Learning using Python, an approachable and well-known programming language. You’ll learn about Supervised vs Unsupervised Learning, look into how Statistical Modeling relates to Machine Learning, and do a comparison of each. Look at real-life examples of Machine Learning and how it affects society in ways you may not have guessed

Explore many algorithms and models:

Popular algorithms: Classification, Regression, Clustering, and Dimensional Reduction.
Popular models: Train/Test Split, Root Mean Squared Error, and Random Forests.

COURSE SYLLABUS:

Module 1:

Introduction to Machine Learning
Applications of Machine Learning
Supervised vs Unsupervised Learning
Python libraries suitable for Machine Learning

Module 2:

Regression
Linear Regression
Non-linear Regression
Model evaluation methods

Module 3:

Classification
K-Nearest Neighbour
Decision Trees
Logistic Regression
Support Vector Machines
Model Evaluation

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Module 4:

Unsupervised Learning
K-Means Clustering
Hierarchical Clustering
Density-Based Clustering

Module 5:

Recommender Systems
Content-based recommender systems
Collaborative Filtering

Machine Learning with Python :

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