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- 86% Introduction to Machine Learning in R

Introduction to Machine Learning in R

$12.99Track price

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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
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  1. Chaitanya Gayke

    Comprehensive curriculum.

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  2. Glenn McGregor

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

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  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.

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  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!

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  5. Ruparna Saigol

    It’s too dumbed down

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  6. Isaac Lynn

    Very good, sometimes code is out of date

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  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.

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  8. Sanjeet Mohanta

    give some example for practice

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  9. Maria Swapna Murari

    very helpful for a beginner like me

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

    $12.99

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