Don't like banners? Log in and we will make sure you see no banners. For free.
[ FreeCourseWeb ] Udemy - Machine Learning Basics- Building a Regression model in R

[ FreeCourseWeb ] Udemy - Machine Learning Basics- Building a Regression model in R

Size
2.8 GB
Seeders
0
Leechers
1
Files
98
Category
Added
at 7:52pm GMT+1
Infohash
7e92bbeda65a72b19fb72b31bcce6f05505d10f7
Don't like banners? Log in and we will make sure you see no banners. For free.

Description
[ FreeCourseWeb.com ]Machine Learning Basics: Building a Regression model in R



Download More Latest Courses Visit ==>> https://FreeCourseWeb.com







MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English + .VTT | Duration: 6 hour | Size: 2.75 GB

Use Linear Regression to solve business problems and master the basics of Machine Learning Linear Regression in R

What you'll learn



Learn how to solve real life problem using the Linear Regression technique

Preliminary analysis of data using Univariate and Bivariate analysis before running Linear regression

Predict future outcomes basis past data by implementing Simplest Machine Learning algorithm

Understand how to interpret the result of Linear Regression model and translate them into actionable insight

Understanding of basics of statistics and concepts of Machine Learning

Indepth knowledge of data collection and data preprocessing for Machine Learning Linear Regression problem

Learn advanced variations of OLS method of Linear Regression

Course contains a end-to-end DIY project to implement your learnings from the lectures

How to convert business problem into a Machine learning Linear Regression problem

How to do basic statistical operations in R

Advanced Linear regression techniques using GLMNET package of R

Graphically representing data in R before and after analysis



Requirements



Students will need to install R and R studio software but we have a separate lecture to help you install the same



Download More Latest Courses Visit ==>> https://FreeCourseWeb.com



If you like this torrent then Please, we repeat, Please, Support Authors. They Deserve it









       

File list
  • [ FreeCourseWeb ] Udemy - Machine Learning Basics- Building a Regression model in R
  • 1. Introduction/1. Welcome to the course!.mp4 15.4 MB
  • 1. Introduction/1. Welcome to the course!.vtt 2.5 KB
  • 1. Introduction/2. Course contents.mp4 47 MB
  • 1. Introduction/2. Course contents.vtt 7.9 KB
  • 2. Basics of Statistics/1. Types of Data.mp4 25.9 MB
  • 2. Basics of Statistics/1. Types of Data.vtt 4.3 KB
  • 2. Basics of Statistics/2. Types of Statistics.mp4 13.2 MB
  • 2. Basics of Statistics/2. Types of Statistics.vtt 2.7 KB
  • 2. Basics of Statistics/3. Describing the data graphically.mp4 82.2 MB
  • 2. Basics of Statistics/3. Describing the data graphically.vtt 11.3 KB
  • 2. Basics of Statistics/4. Measures of Centers.mp4 45.7 MB
  • 2. Basics of Statistics/4. Measures of Centers.vtt 6.4 KB
  • 2. Basics of Statistics/5. Practice Exercise 1.html 354 B
  • 2. Basics of Statistics/5.1 Exercise 1.pdf.pdf 553.8 KB
  • 2. Basics of Statistics/6. Measures of Dispersion.mp4 28.4 MB
  • 2. Basics of Statistics/6. Measures of Dispersion.vtt 4.7 KB
  • 2. Basics of Statistics/7. Practice Exercise 2.html 295 B
  • 2. Basics of Statistics/7.1 Exercise 2.pdf.pdf 469.9 KB
  • 3. Getting started with R and R studio/1. Installing R and R studio.mp4 40.8 MB
  • 3. Getting started with R and R studio/1. Installing R and R studio.vtt 4.9 KB
  • 3. Getting started with R and R studio/2. Basics of R and R studio.mp4 48.2 MB
  • 3. Getting started with R and R studio/2. Basics of R and R studio.vtt 9.4 KB
  • 3. Getting started with R and R studio/3. Packages in R.mp4 98.7 MB
  • 3. Getting started with R and R studio/3. Packages in R.vtt 9.9 KB
  • 3. Getting started with R and R studio/4. Inputting data part 1 Inbuilt datasets of R.mp4 46.2 MB
  • 3. Getting started with R and R studio/4. Inputting data part 1 Inbuilt datasets of R.vtt 3.5 KB
  • 3. Getting started with R and R studio/5. Inputting data part 2 Manual data entry.mp4 30.9 MB
  • 3. Getting started with R and R studio/5. Inputting data part 2 Manual data entry.vtt 2.5 KB
  • 3. Getting started with R and R studio/6. Inputting data part 3 Importing from CSV or Text files.mp4 69.1 MB
  • 3. Getting started with R and R studio/6. Inputting data part 3 Importing from CSV or Text files.vtt 5.5 KB
  • 3. Getting started with R and R studio/7. Creating Barplots in R.mp4 117.5 MB
  • 3. Getting started with R and R studio/7. Creating Barplots in R.vtt 11.7 KB
  • 3. Getting started with R and R studio/8. Creating Histograms in R.mp4 51.5 MB
  • 3. Getting started with R and R studio/8. Creating Histograms in R.vtt 5.1 KB
  • 4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 123.9 MB
  • 4. Introduction to Machine Learning/1. Introduction to Machine Learning.vtt 16.3 KB
  • 4. Introduction to Machine Learning/2. Building a Machine Learning model.mp4 45.3 MB
  • 4. Introduction to Machine Learning/2. Building a Machine Learning model.vtt 8.6 KB
  • 4. Introduction to Machine Learning/3. Introduction to Machine learning quiz.html 163 B
  • 5. Data Preprocessing/1. Gathering Business Knowledge.mp4 25.1 MB
  • 5. Data Preprocessing/1. Gathering Business Knowledge.vtt 3.4 KB
  • 5. Data Preprocessing/10. Outlier Treatment in R.mp4 38 MB
  • 5. Data Preprocessing/10. Outlier Treatment in R.vtt 3.8 KB
  • 5. Data Preprocessing/11. Project Exercise 3.html 233 B
  • 5. Data Preprocessing/12. Missing Value imputation.mp4 27.6 MB
  • 5. Data Preprocessing/12. Missing Value imputation.vtt 3.6 KB
  • 5. Data Preprocessing/13. Missing Value imputation in R.mp4 31.8 MB
  • 5. Data Preprocessing/13. Missing Value imputation in R.vtt 3.1 KB
  • 5. Data Preprocessing/14. Project Exercise 4.html 238 B
  • 5. Data Preprocessing/15. Seasonality in Data.mp4 20.9 MB
  • 5. Data Preprocessing/15. Seasonality in Data.vtt 3.3 KB
  • 5. Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.mp4 113.8 MB
  • 5. Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.vtt 16.1 KB
  • 5. Data Preprocessing/17. Variable transformation in R.mp4 67.9 MB
  • 5. Data Preprocessing/17. Variable transformation in R.vtt 8 KB
  • 5. Data Preprocessing/18. Project Exercise 5.html 286 B
  • 5. Data Preprocessing/19. Non Usable Variables.mp4 24 MB
  • 5. Data Preprocessing/19. Non Usable Variables.vtt 4.8 KB
  • 5. Data Preprocessing/2. Data Exploration.mp4 23.4 MB
  • 5. Data Preprocessing/2. Data Exploration.vtt 3.2 KB
  • 5. Data Preprocessing/20. Dummy variable creation Handling qualitative data.mp4 40.6 MB
  • 5. Data Preprocessing/20. Dummy variable creation Handling qualitative data.vtt 4.3 KB
  • 5. Data Preprocessing/21. Dummy variable creation in R.mp4 52.3 MB
  • 5. Data Preprocessing/21. Dummy variable creation in R.vtt 4.5 KB
  • 5. Data Preprocessing/22. Project Exercise 6.html 202 B
  • 5. Data Preprocessing/23. Correlation Matrix and cause-effect relationship.mp4 81.3 MB
  • 5. Data Preprocessing/23. Correlation Matrix and cause-effect relationship.vtt 9.7 KB
  • 5. Data Preprocessing/24. Correlation Matrix in R.mp4 95 MB
  • 5. Data Preprocessing/24. Correlation Matrix in R.vtt 8.1 KB
  • 5. Data Preprocessing/25. Project Exercise 7.html 288 B
  • 5. Data Preprocessing/3. The Data and the Data Dictionary.mp4 78.6 MB
  • 5. Data Preprocessing/3. The Data and the Data Dictionary.vtt 6.9 KB
  • 5. Data Preprocessing/3.1 House_Price.csv.csv 53.5 KB
  • 5. Data Preprocessing/4. Importing the dataset into R.mp4 16 MB
  • 5. Data Preprocessing/4. Importing the dataset into R.vtt 2.3 KB
  • 5. Data Preprocessing/4.1 House_Price.csv.csv 53.5 KB
  • 5. Data Preprocessing/5. Project Exercise 1.html 431 B
  • 5. Data Preprocessing/5.1 Movie_collection_train.csv.csv 43.3 KB
  • 5. Data Preprocessing/6. Univariate Analysis and EDD.mp4 27.3 MB
  • 5. Data Preprocessing/6. Univariate Analysis and EDD.vtt 3.1 KB
  • 5. Data Preprocessing/7. EDD in R.mp4 112.3 MB
  • 5. Data Preprocessing/7. EDD in R.vtt 10.1 KB
  • 5. Data Preprocessing/8. Project Exercise 2.html 177 B
  • 5. Data Preprocessing/9. Outlier Treatment.mp4 27.8 MB
  • 5. Data Preprocessing/9. Outlier Treatment.vtt 4 KB
  • 6. Linear Regression Model/1. The problem statement.mp4 10.7 MB
  • 6. Linear Regression Model/1. The problem statement.vtt 1.4 KB
  • 6. Linear Regression Model/2. Basic equations and Ordinary Least Squared (OLS) method.mp4 50.2 MB
  • 6. Linear Regression Model/2. Basic equations and Ordinary Least Squared (OLS) method.vtt 8.7 KB
  • 6. Linear Regression Model/20. Ridge regression and Lasso in R.mp4 124.2 MB
  • 6. Linear Regression Model/3. Assessing Accuracy of predicted coefficients.mp4 104.4 MB
  • 6. Linear Regression Model/3. Assessing Accuracy of predicted coefficients.vtt 14 KB
  • 6. Linear Regression Model/4. Assessing Model Accuracy - RSE and R squared.mp4 49.7 MB
  • 6. Linear Regression Model/4. Assessing Model Accuracy - RSE and R squared.vtt 7.1 KB
  • 6. Linear Regression Model/5. Simple Linear Regression in R.mp4 50.6 MB
  • 6. Linear Regression Model/5. Simple Linear Regression in R.vtt 7.1 KB
  • 6. Linear Regression Model/6. Project Exercise 8.html 322 B
  • How to Support [ FreeCourseWeb.com ] for Free.txt 323 B

Rating
Not rated yet
Log in to rate

Comments

No comments yet.