Latest Courses
ISTQB Artificial Intelligence Tester Sample ExamsCheck course
JAVA Programming Online Practice ExamCheck course
Programming for Kids and Beginners: Learn to Code in PythonCheck course
Practice Exams | Codeigniter 4 developer certificationCheck course
WordPress Practice Tests & Interview Questions (Basic/Adv)Check course
Git &Github Practice Tests & Interview Questions (Basic/Adv)Check course
Machine Learning and Deep Learning for Interviews & ResearchCheck course
Laravel | Build Pizza E-commerce WebsiteCheck course
101 - F5 CERTIFICATION EXAMCheck course
Master Python by Practicing 100 QuestionCheck course
ISTQB Artificial Intelligence Tester Sample ExamsCheck course
JAVA Programming Online Practice ExamCheck course
Programming for Kids and Beginners: Learn to Code in PythonCheck course
Practice Exams | Codeigniter 4 developer certificationCheck course
WordPress Practice Tests & Interview Questions (Basic/Adv)Check course
- 86% Introduction to Machine Learning in R

Introduction to Machine Learning in R

$12.99Track price

Add your review
Add to wishlistAdded to wishlistRemoved from wishlist 0
Add to compare
8.0/10 (Our Score)
Product is rated as #270 in category Machine Learning

This course is about the fundamental concepts of machine learning, facusing on neural networks. This topic is getting very hot nowadays because these learning algorithms can be used in several fields from software engineering to investment banking. Learning algorithms can recognize patterns which can help detect cancer for example. We may construct algorithms that can have a very good guess about stock prices movement in the market.

Section 1:

R basics

data visualization

machine learning basics

Section 2:

linear regression and implementation

Section 3:

logistic regression and implementation

Section 4:

k–nearest neighbor classifier and implementation

Section 5:

naive bayes classifier and implementation

support vector machines (SVMs)

Section 6:

tree based approaches

decision trees

random forest classifier

Section 7:

clustering algorithms

k means clustering and hierarchical clustering

boosting

Section 8:

neural networks in R

feedforward neural networks and its applications

credit scoring with neural networks

Thanks for joining the course, let’s get started!

Instructor Details

Hi! My name is Balazs Holczer. I am from Budapest, Hungary. I am qualified as a physicist. At the moment I am working as a simulation engineer at a multinational company. I have been interested in algorithms and data structures and its implementations especially in Java since university. Later on I got acquainted with machine learning techniques, artificial intelligence, numerical methods and recipes such as solving differential equations, linear algebra, interpolation and extrapolation. These things may prove to be very very important in several fields: software engineering, research and development or investment banking. I have a special addiction to quantitative models such as the Black-Scholes model, or the Merton-model. Take a look at my website if you are interested in these topics!

Specification: Introduction to Machine Learning in R

Duration

8 hours

Year

2020

Level

All

Certificate

Yes

Quizzes

No

9 reviews for Introduction to Machine Learning in R

3.5 out of 5
2
4
1
0
2
Write a review
Show all Most Helpful Highest Rating Lowest Rating
  1. Chaitanya Gayke

    Comprehensive curriculum.

    Helpful(0) Unhelpful(0)You have already voted this
  2. Glenn McGregor

    It seems to be a good match. Very basic, but good.

    Helpful(0) Unhelpful(0)You have already voted this
  3. Anuja Nair

    The course is alright so far! It gives a good idea on how to build models and predict values. However, I found that one of the datasets for challenger example is missing from the data.zip file.

    Helpful(0) Unhelpful(0)You have already voted this
  4. Ivana Kristofova

    I really enjoy the sequence of the theory from the easier models to more complicated. It was explained in very understandable way. And supported by codes that are well commented and good to follow. I am ready to start to play with data : ). Thank you!

    Helpful(0) Unhelpful(0)You have already voted this
  5. Ruparna Saigol

    It’s too dumbed down

    Helpful(0) Unhelpful(0)You have already voted this
  6. Isaac Lynn

    Very good, sometimes code is out of date

    Helpful(0) Unhelpful(0)You have already voted this
  7. Robert Cordrey

    Using the console as the place to type the script makes it nearly impossible to read. I would have my money refunded if it was within the 30 day window. After trying to watch the first couple of lessons, I stopped. It was no longer interesting.

    Helpful(0) Unhelpful(0)You have already voted this
  8. Sanjeet Mohanta

    give some example for practice

    Helpful(0) Unhelpful(0)You have already voted this
  9. Maria Swapna Murari

    very helpful for a beginner like me

    Helpful(0) Unhelpful(0)You have already voted this

    Add a review

    Your email address will not be published. Required fields are marked *

    This site uses Akismet to reduce spam. Learn how your comment data is processed.

    Introduction to Machine Learning in R
    Introduction to Machine Learning in R

    $12.99

    Price tracking

    Java Code Geeks
    Logo
    Register New Account
    Compare items
    • Total (0)
    Compare