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Requirements
Basic knowledge of scripting and programming
Basic knowledge of python programming
Description
If you are looking to start your career in machine learning then this is the course for you.
This is a course designed in such a way that you will learn all the concepts of machine learning right from basic to advanced levels.
This course has 5 parts as given below:
Introduction & Data Wrangling in machine learning
Linear Models, Trees & Preprocessing in machine learning
Model Evaluation, Feature Selection & Pipelining in machine learning
Bayes, Nearest Neighbours & Clustering in machine learning
SVM, Anomalies, Imbalanced Classes, Ensemble Methods in machine learning
For the code explained in each lecture, you can find a GitHub link in the resources section.
Who this course is for:
Beginners who want to become a data scientist
Software developers who want to learn machine learning from scratch
Python developers who are interested to learn machine learning
Professionals who want to start their career in Machine Leaning