MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English + .VTT | Duration: 12 hours | Size: 5.93 GBLearn complete Machine learning & Data Science with R covering applied statistics, R programming & data visualizationWhat you’ll learnFundamentals of Machine learningData scienceR programmingData visualization with base R & libraries like ggplot2, lattice, scatter3d plot & moreApplied 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-MeansClassification & Regression Tree with Random Forest machine learning modelRequirementsLaptop/desktop/phone with internet connectionDesire to learn machine learning & data scienceDescriptionLearn 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 learningApplied statistics for machine learningMachine learning fundamentalsANOVA Implementation with RLinear regression with RLogistic RegressionDimension Reduction TechniqueTree-based machine learning techniquesKNN ImplementationNaïve BayesNeural network machine learning techniqueWhen you sign up for the course, you also:Get career guidance to help you get into data scienceLearn how to build your portfolioCreate over 10 projects to add to your portfolioCarry out the course at your own pace with lifetime accessWho this course is for:StudentsWorking professionals looking to move into data science & machine learning career