Dive into a comprehensive 7-day live session series on Machine Learning Algorithms for Data Science. Explore a wide range of algorithms, starting with an introduction and progressing through Ridge, Lasso, Logistic Regression, KNN, Naive Bayes, Decision Trees, Ensemble methods, Adaboost, Random Forest, XGBoost, clustering techniques (KMeans, Hierarchical, DBScan), SVM, and SVR. Gain in-depth knowledge and practical insights into these essential machine learning techniques over the course of 11 hours, equipping yourself with valuable skills for data science applications.
Overview
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.
Taught by
Krish Naik
