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
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