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$29
What you'll learn?
- Fundamentals of Machine learning
- Data science
- R programming
- Data visualization with base R & libraries like ggplot2, lattice, scatter3d plot & more
- Applied statistics for machine learning covering important topics like standard error, variance, p value, t-test etc.
- Machine learning models like Neural network, linear regression, logistic regression & more.
- Handle advance concepts like dimension reduction & data reduction techniques with PCA & K-Means
- Classification & Regression Tree with Random Forest machine learning model
- Real life projects to help you understand industry application
Course Overview
Learn complete Machine learning & Data Science with R covering applied statistics, R programming, data visualization & machine learning models like neural network, CART, Logistic regression & more.
Unlike most machine learning courses out there, the Complete Machine Learning & Data Science with R-2019 is comprehensive. We are not only covering popular machine learning techniques but also additional techniques like ANOVA & CART techniques.
Course is structured into various parts like R programming, data selection & manipulation, applied statistics & data visualization. This will help you with the structure of data science and machine learning.
Here are some highlights of the program:
Visualization with R for machine learning
Applied statistics for machine learning
Machine learning fundamentals
ANOVA Implementation with R
Linear regression with R
Logistic Regression
Dimension Reduction Technique
Tree-based machine learning techniques
KNN Implementation
Naïve Bayes
Neural network machine learning technique
When you sign up for the course, you also:
Get career guidance to help you get into data science
Learn how to build your portfolio
Create over 10 projects to add to your portfolio
Carry out the course at your own pace with lifetime access
Pre-requisites
- Laptop/desktop/phone with internet connection
- Desire to learn machine learning & data science
Target Audience
- Students
- Working professionals looking to move into data science & machine learning career
- Statisticians interested in machine learning
Curriculum 0 Lectures
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Section 1 : Complete machine learning & data science course Introduction
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Section 2 : Hand-on R programming for machine learning & data science
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Section 3 : Machine learning fundamentals
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Section 4 : Data visualization with R
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Section 5 : Applied Statistics for Machine learning
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Section 6 : ANOVA with R
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Section 7 : Linear regression with R
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Section 8 : Logistic Regression with R
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Section 9 : Dimension reduction technique with principal component analysis
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Section 10 : Clustering with K-Means
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Section 11 : Tree based models- CART technique & Random Forest
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Section 12 : KNN- K Nearest Model
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Section 13 : Naive Bayes
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Section 14 : Neural networks with R
Our learners work at
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Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic. -
Can i play & pause the course as per my convenience?
Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on. -
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Instructor
177382 Course Views
3 Courses
Hi, My name is Akhilendra Singh. I am a Product owner with a global technology company and have been practicing business analysis & product management for over 10 years now.
I am a MBA, Certified Business Analyst Professional(CBAP), Certified scrum product owner, Professional Scrum Master I and quite a few other certifications on machine learning, innovation, entrepreneurship and product design.
I created my site akhilendra.com where I share information about machine learning, business analysis and various other fields. I have been a webmaster for over 8 years now & in these 8 years, i have learned a lot about digital marketing space which i intend to share through my courses.
If you have any question about my courses or any question at all, just message me at;
Email- info@akhilendra.com
Website- http://akhilendra.com
Linkedin Profile- https://www.linkedin.com/in/akhilendra-singh-cbap-28459315/
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