Machine Learning, Business analytics & Data Science with R
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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