Machine Learning and Data Science Essentials with Python & R
AKA Skills


Machine Learning and Data Science Essentials with Python R Udemy
1:30 
Introduction
7:10 
Notations and Definitions
11:14 
Operations on Matrices and Vectors
11:58 
Matrix Properties, Inverse and Transpose
15:04 
Introduction Matrix Operations on R
11:45 
Introduction to Matrix Operations on Python
11:23 
Introduction to Machine Learning
14:42 
Linear Regression 1
22:47 
Linear Regression 2
14:06 
Linear Regression with Python & Tensorflow
11:25 
Linear Regression with R
30:40 
Classification and Logistic Regression
11:40 
Decision Boundary
11:34 
Cost Function for Logistic Regression
14:55 
Logistic Regression with Python & Tensorflow
32:09 
Logistic Regression with R
31:09 
K means and K NN algorithm
14:23 
K means and K NN algorithm on R
19:02 
K NN on Python using Tensorflow
12:44

About This Class
Meet Machine Learning, the indemand and Highest Paying job skill of 2018 and beyond. Machine learning is increasingly shaping future of work and jobs. With an average salary of $120,000 (Glassdoor and Indeed), Machine Learning will help you to get one of the toppaying jobs.
Machine Learning, provides computers the ability to automatically learn and improve from experience.
Today, data scientists are generally divided among two languages , some prefer R, some prefer Python. The course touches both R and Python implementations of Machine Learning.
By the end of the course you will be able to
Master Machine Learning using Python and R
Understand Linear Algebra
Matrix Operations in R and Python
Implement Linear Regression with R, Python & Tensorflow
Logistic Regression with R, Python & Tensorflow
Practical Machine Learning Problems and solution
Implement Kmeans and KNN algorithm on R
Implement KNN on python using tensorflow
Learning Machine Learning is a definite way to advance your career and will open doors to new Job opportunities.
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