Machine Learning, Business analytics with R Programming & Py
$84.99 $14.99Track price
Learn complete Machine learning, Deep 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.
You will build models using real data and learn how to handle machine learning and deep learning projects like image recognition.
You will have lots of projects, code files, assignments and we will use R programming language as well as python.
Release notes– 01 March
Deep learning with Image recognition & Keras
Fundamentals of deep learning
Methodology of deep learning
Architecture of deep learning models
What is activation function & why we need them
Relu & Softmax activation function
Introduction to Keras
Build a Multi–layer perceptron model with Python & Keras for Image recognition
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.
Instructor Details
Courses : 1
Specification: Machine Learning, Business analytics with R Programming & Py
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3 reviews for Machine Learning, Business analytics with R Programming & Py
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Price | $14.99 |
---|---|
Provider | |
Duration | 18.5 hours |
Year | 2020 |
Level | All |
Language | English |
Certificate | Yes |
Quizzes | Yes |
$84.99 $14.99
Jon Z –
I liked the examples but I caught a few errors and sometimes code wouldn’t work on my own after running exactly the same code as the instructor and I would have to go back and figure out what the instructor did differently or he would have different code from what he explained. Overall: The course presented a lot of good material and I now have a better understanding of a lot of machine learning concepts and I feel I can at least discuss them with others somewhat intelligently, but the course could be a little more organized/free of errors.
Everton Dennis –
Positive, informative and very interesting
Naren –
It has been a good introduction to R so far