Udemy - Introduction to Data Science and Analytics using R

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[ DevCourseWeb.com ] Udemy - Introduction to Data Science and Analytics using R
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Installing R and R Studios
    • 1. Setting up R and R Studios.mp4 (35.4 MB)
    • 1. Setting up R and R Studios.srt (6.1 KB)
    • 1.1 CRAN R (R programme) Download.html (0.1 KB)
    • 1.2 R Studios IDE Download.html (0.1 KB)
    2. Course Introduction
    • 1. Course Introduction and Setting Course Expectations.mp4 (44.0 MB)
    • 1. Course Introduction and Setting Course Expectations.srt (5.7 KB)
    • 1.1 Instructor Profile.html (0.1 KB)
    3. Getting Started
    • 1. Getting Started with R Studios IDE.mp4 (68.5 MB)
    • 1. Getting Started with R Studios IDE.srt (15.6 KB)
    • 2. Swirl.html (0.2 KB)
    4. Introduction
    • 1. Measures of Central Tendencies.mp4 (85.2 MB)
    • 1. Measures of Central Tendencies.srt (12.9 KB)
    • 1.1 Day1_Sourcecode.R (0.2 KB)
    • 1.2 Measures_Of_Central_Tendencies.pdf (1.6 MB)
    • 2. Introduction to Data Science using R.mp4 (155.0 MB)
    • 2. Introduction to Data Science using R.srt (17.4 KB)
    • 3. Quiz1.html (0.2 KB)
    5. Missing value treatment and Measures of Dispersion
    • 1. Measures of Dispersions and Outlier Treatment.mp4 (261.2 MB)
    • 1. Measures of Dispersions and Outlier Treatment.srt (32.1 KB)
    • 1.1 Measures_of_Dispersion.pdf (3.8 MB)
    • 2. Missing value treatment in R.mp4 (87.1 MB)
    • 2. Missing value treatment in R.srt (13.6 KB)
    • 3. Data Visualization using R.mp4 (153.0 MB)
    • 3. Data Visualization using R.srt (20.0 KB)
    • 3.1 visualisation.R (0.5 KB)
    • 4. Quiz2.html (0.2 KB)
    6. Introduction to linear regression models
    • 1. Introduction to simple linear regression.mp4 (268.5 MB)
    • 1. Introduction to simple linear regression.srt (29.8 KB)
    • 1.1 Introduction_to_Linear_Regression.pdf (4.5 MB)
    • 2. Linear Regression Using R.mp4 (107.3 MB)
    • 2. Linear Regression Using R.srt (15.3 KB)
    • 2.1 Source_code_Lm.R (0.4 KB)
    • 3. Multivariate Linear Regression Theory.mp4 (231.2 MB)
    • 3. Multivariate Linear Regression Theory.srt (26.5 KB)
    • 3.1 Multiple Linear Regression-Measures of Accuracy.pdf (2.6 MB)
    • 4. Multivariate Linear Regression using R.mp4 (248.7 MB)
    • 4. Multivariate Linear Regression using R.srt (33.5 KB)
    • 4.1 Multivariate Linear Regression.R (1.1 KB)
    • 5. Quiz3.html (0.2 KB)
    7. Introduction to classification models
    • 1. Classification using Logistic Regression.mp4 (125.9 MB)
    • 1. Classification using Logistic Regression.srt (15.8 KB)
    • 1.1 logistic Regression.pdf (2.5 MB)
    • 2. Logistic Regression and Generalized Linear Models in R & Measures of Accuracy.mp4 (281.2 MB)
    • 2. Logistic Regression and Generalized Linear Models in R & Measures of Accuracy.srt (36.2 KB)
    • 2.1 Logistic Regression.R (1.2 KB)
    8. Random Forest Models in R
    • 1. Introduction to decision tree classifier.mp4 (153.0 MB)
    • 1. Introduction to decision tree classifier.srt (21.1 KB)
    • 1.1 Decision Trees.pdf (2.5 MB)
    • 2. Creating decision tree and random forest classifiers in R.mp4 (209.0 MB)
    • 2. Creating decision tree and random forest classifiers in R.srt (18.9 KB)
    • 2.1 heart.csv (11.1 KB)
    • 2.2 More about decision trees using Deviance and Gini.html (0.1 KB)
    • 2.3 Tree_Model.R (1.6 KB)
    • 3. Random Forest Regression in R.mp4 (250.1 MB)
    • 3. Random Forest Regression in R.srt (24.3 KB)
    • 3.1 Random Forest Code.R (1.0 KB)
    • Bonus Resources.txt (0.4 KB)

Description

Introduction to Data Science and Analytics using R



https://DevCourseWeb.com

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 2.71 GB | Duration: 5h 0m

Learn to create & test Machine Learning & Data Science Models in R from Data Science experts. Code templates included.

What you'll learn
Basics of statistical modelling
Basics of data science using R and Python
Forecasting and prediction using Data
Data Visualisation

Requirements
No programming experience needed
Description
Are you interested in the field of Data Science and Machine Learning but haven't had experience in it? Then this course is for you!



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Udemy - Introduction to Data Science and Analytics using R

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Download torrent
2.7 GB
seeders:7
leechers:10
Udemy - Introduction to Data Science and Analytics using R

Torrent hash: 6AA860C676260CC57BEA7AB39ECAE1EA0308C9B4