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Machine learning with R & Python

  • Machine learning models with Python will be added to the course within 2 weeks (15 March). Currently course have models implemented in R language.
  • Prices will go up after Python based models are added
  • Join now to avail 80% discount
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Machine learning &
Data Science

Machine learning & data science are the most sought after skills in the job market today. Data scientists are one of the best paid professionals.

What our students are saying

This course is a great introduction to data science. Best part I got this in a deal for only 4000 rupees. A big tour through a lot of algorithms making the student more familiar with machine learning. Theory explanation provide good background in clearing concepts, though I think it could be further improved but nonetheless, it is a very good course because it covers every aspect of machine learning with R.

Shilpi singh

Great course to introduce to machine learning concepts, statistics and visualization with hands-on examples. This course is very practical and helped me to start my machine learning journey. I know I still need to go long way but at this price point, it’s a great course.


Total duration:   12.5hrs

15 Sections, Quizzes, Projects

Course materials:   

code files, over 75 videos, mentoring

courses Content Summary

Career guidance, R programming, statistics for machine learning, data visualization, all major machine learning models. Scroll down for curriculum.

How to make most of it

Practice with each video, complete quizzes and projects

course rating

Unlike most machine learning courses out there, the Complete Machine Learning & Data Science with R-2019 is affordable and comprehensive. 

Here are some highlights of the program:

  • 1
    Visualization with R for machine learning
    Learn data analysis & visualization with R using Base R functions and popular libraries like GGPlot2, lattice, scatter3d plot, map etc.
  • 2
    Learn applied statistics for machine learning & data science
    You will learn applied statistics for machine learning & data science covering fundamentals topics like means, median, mode & also advance topics like descriptive vs inferential analysis, p-value, confidence interval, t-test etc.
  • 3
    Machine learning & Data science fundamentals
    You will fundamentals of machine learning & data science like-What is machine learning, Introduction to machine learning, Machine learning vs artificial intelligence, Machine learning basics, Machine learning examples, Machine learning tools, Types of machine learning etc.
  • 4
    All major machine learning models
    You will implement all major machine learning models like ANOVA, K-Means, KNN, PCA, Linear regression, Logistic regression, neural networks & naïve bayes etc.
  • 5
    Get career guidance to help you get into data science to make right career decision.

Save 80% on Enrollment cost

You can save INR 16000 or over $250 by enrolling now


Complete Machine learning & Data science with R-2019

75 Videos & 15 sections that will will help you get Machine learning & Data science with R

What does a data scientist do

Complete machine learning & data science course Introduction

Duration: 51m

You will learn the fundamentals of machine learning & data science. They will learn what is machine learning & data science. You will also learn about various job options related to machine learning & data science.

Machine learning datasets

Hands-on R programming for machine learning & data science

Duration: 2h 24m

By the end of this section, you will be well verse with r programming language & r data analysis for handling machine learning & data science projects.

How to become a data scientist

Machine learning fundamentals

Duration: 1h 8m

By the end of this section, you will have enough information about the fundamentals and types of machine learning models.

Machine learning tutorial

Data visualization with R

Duration: 1h 09m

By the end of this section, you will be well verse with data visualization using R's base functions and libraries like ggplot2, lattice etc.

Machine learning models

Applied Statistics for Machine learning

Duration: 56m

By the end of this section, you will be comfortable with applied statistics which is required to start and understand machine learning models.

R for data science

Introduction to Machine learning models

Duration: 24m

In this section, we will cover the fundamentals of regression, classification & dimension/data reduction techniques.

Machine learning tools

ANOVA with R

Duration: 32m

You will learn the fundamentals of ANOVA technique and implement one & two way ANOVA with R.

Machine learning with r

Linear regression with R

Duration: 44m

In this section, you will learn the fundamentals of linear regression & its implementation in R. You will also get a project to practice.

Data scientist skills

Logistic Regression with R

Duration: 51m

In this section, you will learn the fundamentals of logistic regression & its implementation in R. You will also get a project to practice.

Machine learning examples

Dimension reduction technique with principal component analysis

Duration: 32m

In this section, you will learn the fundamentals of dimension reduction & principal component analysis. You will also get a project to practice.

What is machine learning

Clustering with K-Means

Duration: 42m

Learn data reduction techniques with clustering and K-Means machine learning model.

What is data science

Tree based models- CART technique & Random Forest

Duration: 1h 8m

Comprehensive section on tree based models like CART technique and random forest technique with fundamentals of ensemble techniques.

Machine learning vs artificial intelligence

KNN- K Nearest Model

Duration: 13m

Learn fundamentals of K-nearest machine learning model & implement it in R. 

Machine learning basics

Naive Bayes

Duration: 14m

Learn fundamentals of Naive Bayes machine learning model & implement it in R. 

Introduction to machine learning

Neural Networks with R

Duration: 13m

Learn fundamentals of Neural network machine learning model & implement it in R. 

About the Author

By the way, my name is Akhilendra Singh, and I'm a business analyst with over 10 years of experience with a Fortune 500 company. I have done numerous courses on machine learning, deep learning & business analytics. As a professional scrum master and certified business analyst amongst other certifications, I've seen how much industries are changing, and data science is growing.

I've created the Complete Machine Learning & Data Science with R-2019 course to help you learn the most while going after a new and promising career in data science. 

machine learning coach

This course is packed with information and designed to focus on your data scientist skills and career.

15 Sections & 75 Videos


Quizzes, Projects & Code files to practice & learn

Enroll Now with 80% OFF

Career guidance & how to create a portfolio to attract possible employers.



Is This Course Right For You?

Your course is not for everybody, you can use this section to pre-select the customers that will get the best results.

Who is this for

  • check-circle-o
    Students who are interested in machine learning, data science and R programming.
  • check-circle-o
    Professionals looking to move into high paying field of machine learning & data science.
  • check-circle-o
    This course is meant for beginners and intermediate users of machine learning & data science. 
  • check-circle-o
    Business Analysts, Project Manager, IT professionals, software developers.

Who is this not for

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    Senior Managers & Executives
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    Advance practitioners of Machine learning & data science professionals. 
100% Refund guaranteed in 30 days

If you sign up and you feel like the course isn't for you, don't worry. Reach out to us within 30 days of your purchase, and you'll get a full refund.

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