Part 5 - Association Rule Learning: Apriori, Eclat Part 4 - Clustering: K-Means, Hierarchical Clustering Part 3 - Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification Part 2 - Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression
This course is fun and exciting, but at the same time, we dive deep into Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science. We will walk you step-by-step into the World of Machine Learning. This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms, and coding libraries in a simple way. Interested in the field of Machine Learning? Then this course is for you!
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