Machine Learning

This course surveys fundamental machine learning algorithms used in data science, including regression, classification, ensemble, clustering, and support vector methods. The seven live sessions cover both supervised and unsupervised learning.

Syllabus

Announcing 7 Days Live Sessions On Machine Learning Algorithms(Feb 1- Feb7th).
Live Day 1- Introduction To Machine Learning Algorithms For Data Science.
Live Day 2- Discussing Ridge, Lasso And Logistic Regression Machine Learning Algorithms.
Live Day 3- Discussing KNN And Naive Baye's Machine Learning Algorithms.
Live Day 4- Discussing Decision Tree And Ensemble Machine Learning Algorithms.
Live Day 5- Discussing Adaboost,Random forest, Xgboost Machine Learning Algorithms.
Live Day 6- Discussing KMeans,Hierarchical And DBScan Clustering Algorithms.
Live Day 7-Discussing SVM,SVR And Xgboost MAchine Learning Algorithms.