Enjoy learning the intuition, concept and underlying math behind Supervised Learning algorithms with complete clarity and have all your doubts answered. You will learn several nuances and special cases, gain mastery to confidently crack Interviews..
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Learning duration ~ 2-3 weeks
Complete access for 1 year
What you will learn
What is supervised learning and different algorithms under it?
In depth understanding of KNN, Naive Bayes, SVM, Decision Tree etc.
When to use which type of algorithm
How a problem can be solved using various algorithms
How to tune the hyperparameters
Evaluate the model using various evaluation metrices
Implement the algorithms in a project and solve it end to end
Basics of Python
Foundational knowledge of Data Science
High school maths
Who should attend this course?
Data Science Aspirants
Data Science Professionals
Software/Data engineers interested in quantitative analysis
Professionals working with large datasets
Data analysts, economists, researchers
Selva Prabhakaran Principal Data Scientist
My name is Selva, and I am super excited to mentor you on this project!
I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I’ve deployed 20+ global products. I’m also the Founder & Chief Author of Machine Learning Plus, which has over 4M annual readers.
I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I’ve put up the series of courses and projects with detailed explanations – just like an on the job experience. Hope you love it!