Course Objectives.
All in all Learn the basics of machine learning using an approachable, and well-known programming language, Python.
By the end of the Machine Learning with Python, students will have usable knowledge of the following:
- All in all gain an Introduction to Python.
- Overall Introduction to Machine Learning.
- Learn Linear, Non-linear, Simple and Multiple regression, and their applications.
- Thus Learn algorithms, such as KNN, Decision Trees, Logistic Regression and SVM.
- Learn how to use clustering for customer segmentation, grouping same vehicles, and also clustering of weather stations. You understand 3 main types of clustering, including Partitioned-based Clustering, Hierarchical Clustering, and Density-based Clustering.
None
5 - 10 days
