Machine Learning and Data Science Essentials with Python R

Machine Learning and Data Science Essentials with Python & R, available at $19.99, has an average rating of 4.1, with 24 lectures, based on 67 reviews, and has 4862 subscribers.

You will learn about 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 K-means and K-NN algorithm on R Implement K-NN on python using tensorflow This course is ideal for individuals who are Anyone interested in Machine Learning and Data Science It is particularly useful for Anyone interested in Machine Learning and Data Science.

Enroll now: Machine Learning and Data Science Essentials with Python & R

Summary

Title: Machine Learning and Data Science Essentials with Python & R

Price: $19.99

Average Rating: 4.1

Number of Lectures: 24

Number of Published Lectures: 24

Number of Curriculum Items: 24

Number of Published Curriculum Objects: 24

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

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 K-means and K-NN algorithm on R

Implement K-NN on python using tensorflow

Who Should Attend

Anyone interested in Machine Learning and Data Science

Target Audiences

Anyone interested in Machine Learning and Data Science

Meet Machine Learning,the in-demand 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 top-paying 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 K-means and K-NN algorithm on R

Implement K-NN on python using tensorflow

Learning Machine Learning is a definite way to advance your career?and will open doors to new Job opportunities.

100% MONEY-BACK?GUARANTEE

This course comes with a 30-day money back guarantee. If you’re not happy, ask for a refund, all your money back, no questions asked.

Feel forward to have a look at course description and demo videos and we look forward to see you inside.

Course Curriculum

Chapter 1: Linear Algebra

Lecture 1: Introduction

Lecture 2: Notations and Definitions

Lecture 3: Operations on matrices and vectors

Lecture 4: Matrix properties, inverse and transpose

Lecture 5: Introduction matrix operations on R

Lecture 6: Introduction to matrix operations on python

Chapter 2: Machine Learning and Linear Regression

Lecture 1: Download Code

Lecture 2: Introduction to Machine Learning

Lecture 3: Linear Regression 1

Lecture 4: Linear Regression 2

Lecture 5: Linear Regression with Python & Tensorflow

Lecture 6: Linear Regression with R

Chapter 3: Logistic Regression

Lecture 1: Download Code

Lecture 2: Classification and logistic regression

Lecture 3: Decision Boundary

Lecture 4: Cost function for Logistic Regression

Lecture 5: Logistic Regression with Python & Tensorflow

Lecture 6: Logistic Regression with R

Chapter 4: Problems and Solution

Lecture 1: Multi-Class, Underfitting and Overfitting

Lecture 2: Regularization

Chapter 5: Clustering

Lecture 1: Download Code

Lecture 2: K-means and K-NN algorithm

Lecture 3: K-means and K-NN algorithm on R

Lecture 4: K-NN on python using tensorflow

Instructors

AkaSkills! 35,000+ Students
IT Skills for Everyone

Rating Distribution

1 stars: 2 votes

2 stars: 8 votes

3 stars: 11 votes

4 stars: 24 votes

5 stars: 22 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!