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!
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