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Data Science: Foundations & Regression (Python)
Get your hands dirty solving the most common problems faced in building machine learning models
Fast-paced course with all the basic & intermediate level concepts, methodology, use cases required to get well versed with machine learning
Learn demonstrating your skills in machine learning problem solving competitions
In this course you will get a complete understanding of Machine Learning concepts. Building data science solutions using various techniques and algorithms. The industry standard best practices for formulating, applying and maintaining data driven products. It starts off with basic explanation of Machine Learning concepts and how to setup your environment. Next we take up data wrangling and EDA with Pandas. We step into Machine Learning algorithms linear and logistic regression and build real world solutions with them. Learning the industry standard best practices and evaluating the models for sustained development comes next.
We finish off by highlighting some of the core challenges and how to tackle them in an industry setup. This course supplies in-depth content that put the theory into practice.