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    Complete Machine Learning & Data Science with R-2019

    Posted By: Sigha
    Complete Machine Learning & Data Science with R-2019

    Complete Machine Learning & Data Science with R-2019
    .MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | 5.93 GB
    Duration: 12 hours | Genre: eLearning | Language: English

    Learn complete Machine learning & Data Science with R covering applied statistics, R programming & data visualization.

    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

    Requirements

    Laptop/desktop/phone with internet connection
    Desire to learn machine learning & data science

    Description

    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

    Who this course is for:

    Students
    Working professionals looking to move into data science & machine learning career

    Complete Machine Learning & Data Science with R-2019