Supervised ML Algorithms

Created by Selva Prabhakaran

58 Video Lessons
English
English captions

Validity Period: 365 days

$49

Courses Page1

Get Subscription

Already Subscribed? Click here to access your courses

Course Certificate
Codes
Practice Data
Clean English Captions
Expert Query Support
Programming Notebooks
Self-paced online videos
15-Day Moneyback Guarantee
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

Course Curriculum

Requirements

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

Instructor

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!

4.5+Instructor rating
200+ reviews
10K+students
15+ Courses

Sign Up Complete your profile

Log In

You may also be interested in