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Machine Learning, Business analytics & Data Science with R

complete-machine-learning-data-science-with-r-programming
Udemy Coupon - Machine Learning, Business analytics & Data Science with R
Machine learning, business analytics & Data Science with R language-statistics, data wrangling,visualization & modeling.

  • 4.3 (19 ratings)
  • Created by Akhilendra Singh MBA, CBAP, CSPO, PSM1
  •  English [Auto-generated]

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Description
Learn complete Machine learning, business analytics & Data Science with R & Python covering applied statistics, R programming, data visualization & machine learning models like pca, neural network, CART, Logistic regression & more.

Release notes- 30 November 2019 Updates;

Machine learning & Data science with Python

Introduction to machine learning with python

Walk through of anaconda distribution & Jupyter notebook

Numpy

Pandas

Data analysis with Python & Pandas

Data Visualization with Python

Data Visualization with Pandas

Data visualization with Matplotlib

Data visualization with Seaborn

Multi class linear regression with Python

Logistic regression with Python

I am avoiding repeating same models with Python but included linear regression & logistic regression for continuation purpose.

Going forward, I will cover other techniques with Python like image recognition, sentiment analysis etc.

Image recognition is in progress & course will be updated soon with it.

Unlike most machine learning courses out there, the Complete Machine Learning & Data Science with R-2019 is comprehensive. We are not only covering popular machine learning techniques but also additional techniques like ANOVA & CART techniques.

Course is structured into various parts like R programming, data selection & manipulation, applied statistics & data visualization. This will help you with the structure of data science and machine learning.



Here are some highlights of the program: 



Visualization with R for machine learning 

Applied statistics for machine learning  

Machine learning fundamentals 

ANOVA Implementation with R 

Linear regression with R 

Logistic Regression 

Dimension Reduction Technique 

Tree-based machine learning techniques 

KNN Implementation  

Naïve Bayes 

Neural network machine learning technique 



When you sign up for the course, you also: 



Get career guidance to help you get into data science 

Learn how to build your portfolio 

Create over 10 projects to add to your portfolio 

Carry out the course at your own pace with lifetime access

Who this course is for:
Students
Working professionals looking to move into data science & machine learning career
Statisticians interested in machine learning

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