Machine Learning with Python | Free Machine Learning Course

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 :