Hands on Machine learning & Data science with R- Over 10 projects

presented by Simpliv
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Course Description

Invest in yourself in 2019. Job market is changing like never before & without machine learning & data science skills in your cv/resume, you can't do much.

You will get everything you need to start your career as data scientist.

Learn machine learning fundamentals, applied statistics, R programming, data visualization with ggplot2, lattice and build machine learning models with R using rstudio.

More than 15 projects to build your portfolio, Code files included.

Unlike most machine learning courses out there, the Complete Machine Learning & Data Science with R is affordable and comprehensive. Here are some highlights of the program:

Machine learning fundamentals
Applied statistics for machine learning & data science
Visualization with R for machine learning
ANOVA Implementation with R
Linear regression with R
Logistic Regression with R
Dimension Reduction Technique
Tree-based machine learning techniques
KNN Implementation
Naïve Bayes
Neural network machine learning technique
Basic knowledge
Laptop/desktop/mobile phone with internet to watch videos
Laptop/desktop to practice your knowledge
Desire to learn machine learn

What You Will Learn

  • R programming
  • Applied statistics
  • Data visualization
  • Data wrangling
  • Machine learning models
  • Career guidance on data scientist roles and how to get into it
  • How to build your portfolio to show your skills
  • Over 15 projects to add to your portfolio
  • Quizzes and projects to sharpen your skills

Curriculum

Complete machine learning & data science course Introduction
Job hunting strategies
Hands-on R programming for machine learning & data science
Machine learning fundamentals
Data visualization with R
Applied Statistics for Machine learning
Introduction to Machine learning models
ANOVA with R
Linear regression with R
Logistic Regression with R
Dimension reduction technique with principal component analysis
Clustering with K-Means
Tree based models- CART technique & Random Forest
KNN- K Nearest Model
Naive Bayes
Neural networks with R

Course Duration: 12:43:48 PM

Course Level: Beginner Intermediate

Who Should Attend

  • Students
  • Working professionals looking to move into data science & machine learning career
  • Statisticians interested in machine learning

Additional Information

Training Provider: Simpliv

Course Topics: Computers / IT Training > Programming/Software

Training Course Summary: Hands on Machine learning & Data science with R- Over 10 projects

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