Applied Advanced Machine Learning In Python

Learn the hands–on tutorial on Advance Machine Learning Algorithms like GBM, AddaBoosting techniques, XGBoost, and many more.This Course Will Give You A Precise Approach To Machine Learning:

Starting From What Is Machine Learning To Practical Implementation

Covers Detailed Concept Of All ML Models & Algorithms–Basic To Adv.

How To Build Your ML Models On Real Data Set.

Fine–tuning Of The Models For Better Accuracy & Prediction.

Understanding The Parameters Of All Kinds Of ML Models.

Steps Involved In ML Model Building & Important Terms.

Machine Learning In MS Excel, Python & R Prog. Lang.

Salary Structure And Role Of ML Practitioner.

How To Improve Accuracy Using Advance Techniques.

Important Model Evaluation Metrics & Important Resources

Learn the Applied Data Science and Machine Learning, get hired and have fun along the way with the most modern, up–to–date Data Science course on Udemy (we use the latest version of Python, Tensorflow 2.0 and other libraries). This course is focused on efficiency: never spend time on confusing, out of date, incomplete Machine Learning tutorials anymore. We are pretty confident that this is the most comprehensive and modern course you will find on the subject anywhere (bold statement, we know).

This comprehensive and project–based course will introduce you to all of the modern skills of a Data Scientist and along the way, we will build many real–world projects to add to your portfolio. You will get access to all the code, workbooks, so that you can put them on your portfolio right away! We believe this course solves the biggest challenge to entering the Data Science and Machine Learning field: having all the necessary resources in one place and learning the latest trends and on–the–job skills that employers want.