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Détails du Torrent Pour "Udemy - Machine Learning Basics- Building a Regression model in R"

Udemy - Machine Learning Basics- Building a Regression model in R

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_NAME_:	Udemy - Machine Learning Basics- Building a Regression model in R
Description: Machine Learning Basics: Building a Regression model in R 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 If you like this torrent then Please, we repeat, Please, Support Authors. They Deserve it
YouTube Video:
Catégorie:	Tutorials
Langue :	English
Taille totale:	2.75 GB
Info Hash:	7E92BBEDA65A72B19FB72B31BCCE6F05505D10F7
Ajouté par:	FreeCourseWeb
Date:	2019-03-16 16:43:24
Statut Torrent:	Torrent Verified by SaM on 16th March, 2019

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Liste des fichiers:

_FILE_	Taille
1. Introduction/1. Welcome to the course!.mp4	15.41 MB
1. Introduction/1. Welcome to the course!.vtt	2.52 kB
1. Introduction/2. Course contents.mp4	47.04 MB
1. Introduction/2. Course contents.vtt	7.91 kB
2. Basics of Statistics/1. Types of Data.mp4	25.86 MB
2. Basics of Statistics/1. Types of Data.vtt	4.32 kB
2. Basics of Statistics/2. Types of Statistics.mp4	13.24 MB
2. Basics of Statistics/2. Types of Statistics.vtt	2.68 kB
2. Basics of Statistics/3. Describing the data graphically.mp4	82.16 MB
2. Basics of Statistics/3. Describing the data graphically.vtt	11.30 kB
2. Basics of Statistics/4. Measures of Centers.mp4	45.68 MB
2. Basics of Statistics/4. Measures of Centers.vtt	6.42 kB
2. Basics of Statistics/5. Practice Exercise 1.html	354.00 B
2. Basics of Statistics/5.1 Exercise 1.pdf.pdf	553.83 kB
2. Basics of Statistics/6. Measures of Dispersion.mp4	28.37 MB
2. Basics of Statistics/6. Measures of Dispersion.vtt	4.72 kB
2. Basics of Statistics/7. Practice Exercise 2.html	295.00 B
2. Basics of Statistics/7.1 Exercise 2.pdf.pdf	469.93 kB
3. Getting started with R and R studio/1. Installing R and R studio.mp4	40.83 MB
3. Getting started with R and R studio/1. Installing R and R studio.vtt	4.94 kB
3. Getting started with R and R studio/2. Basics of R and R studio.mp4	48.19 MB
3. Getting started with R and R studio/2. Basics of R and R studio.vtt	9.43 kB
3. Getting started with R and R studio/3. Packages in R.mp4	98.67 MB
3. Getting started with R and R studio/3. Packages in R.vtt	9.91 kB
3. Getting started with R and R studio/4. Inputting data part 1 Inbuilt datasets of R.mp4	46.15 MB
3. Getting started with R and R studio/4. Inputting data part 1 Inbuilt datasets of R.vtt	3.52 kB
3. Getting started with R and R studio/5. Inputting data part 2 Manual data entry.mp4	30.87 MB
3. Getting started with R and R studio/5. Inputting data part 2 Manual data entry.vtt	2.55 kB
3. Getting started with R and R studio/6. Inputting data part 3 Importing from CSV or Text files.mp4	69.14 MB
3. Getting started with R and R studio/6. Inputting data part 3 Importing from CSV or Text files.vtt	5.55 kB
3. Getting started with R and R studio/7. Creating Barplots in R.mp4	117.54 MB
3. Getting started with R and R studio/7. Creating Barplots in R.vtt	11.73 kB
3. Getting started with R and R studio/8. Creating Histograms in R.mp4	51.50 MB
3. Getting started with R and R studio/8. Creating Histograms in R.vtt	5.12 kB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4	123.88 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.vtt	16.30 kB
4. Introduction to Machine Learning/2. Building a Machine Learning model.mp4	45.27 MB
4. Introduction to Machine Learning/2. Building a Machine Learning model.vtt	8.59 kB
4. Introduction to Machine Learning/3. Introduction to Machine learning quiz.html	163.00 B
5. Data Preprocessing/1. Gathering Business Knowledge.mp4	25.11 MB
5. Data Preprocessing/1. Gathering Business Knowledge.vtt	3.45 kB
5. Data Preprocessing/10. Outlier Treatment in R.mp4	37.97 MB
5. Data Preprocessing/10. Outlier Treatment in R.vtt	3.81 kB
5. Data Preprocessing/11. Project Exercise 3.html	233.00 B
5. Data Preprocessing/12. Missing Value imputation.mp4	27.56 MB
5. Data Preprocessing/12. Missing Value imputation.vtt	3.61 kB
5. Data Preprocessing/13. Missing Value imputation in R.mp4	31.76 MB
5. Data Preprocessing/13. Missing Value imputation in R.vtt	3.07 kB
5. Data Preprocessing/14. Project Exercise 4.html	238.00 B
5. Data Preprocessing/15. Seasonality in Data.mp4	20.89 MB
5. Data Preprocessing/15. Seasonality in Data.vtt	3.30 kB
5. Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.mp4	113.76 MB
5. Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.vtt	16.09 kB
5. Data Preprocessing/17. Variable transformation in R.mp4	67.85 MB
5. Data Preprocessing/17. Variable transformation in R.vtt	7.98 kB
5. Data Preprocessing/18. Project Exercise 5.html	286.00 B
5. Data Preprocessing/19. Non Usable Variables.mp4	23.95 MB
5. Data Preprocessing/19. Non Usable Variables.vtt	4.80 kB
5. Data Preprocessing/2. Data Exploration.mp4	23.41 MB
5. Data Preprocessing/2. Data Exploration.vtt	3.21 kB
5. Data Preprocessing/20. Dummy variable creation Handling qualitative data.mp4	40.61 MB
5. Data Preprocessing/20. Dummy variable creation Handling qualitative data.vtt	4.31 kB
5. Data Preprocessing/21. Dummy variable creation in R.mp4	52.26 MB
5. Data Preprocessing/21. Dummy variable creation in R.vtt	4.54 kB
5. Data Preprocessing/22. Project Exercise 6.html	202.00 B
5. Data Preprocessing/23. Correlation Matrix and cause-effect relationship.mp4	81.28 MB
5. Data Preprocessing/23. Correlation Matrix and cause-effect relationship.vtt	9.75 kB
5. Data Preprocessing/24. Correlation Matrix in R.mp4	95.05 MB
5. Data Preprocessing/24. Correlation Matrix in R.vtt	8.06 kB
5. Data Preprocessing/25. Project Exercise 7.html	288.00 B
5. Data Preprocessing/3. The Data and the Data Dictionary.mp4	78.57 MB
5. Data Preprocessing/3. The Data and the Data Dictionary.vtt	6.89 kB
5. Data Preprocessing/3.1 House_Price.csv.csv	53.49 kB
5. Data Preprocessing/4. Importing the dataset into R.mp4	15.98 MB
5. Data Preprocessing/4. Importing the dataset into R.vtt	2.29 kB
5. Data Preprocessing/4.1 House_Price.csv.csv	53.49 kB
5. Data Preprocessing/5. Project Exercise 1.html	431.00 B
5. Data Preprocessing/5.1 Movie_collection_train.csv.csv	43.31 kB
5. Data Preprocessing/6. Univariate Analysis and EDD.mp4	27.29 MB
5. Data Preprocessing/6. Univariate Analysis and EDD.vtt	3.10 kB
5. Data Preprocessing/7. EDD in R.mp4	112.26 MB
5. Data Preprocessing/7. EDD in R.vtt	10.07 kB
5. Data Preprocessing/8. Project Exercise 2.html	177.00 B
5. Data Preprocessing/9. Outlier Treatment.mp4	27.76 MB
5. Data Preprocessing/9. Outlier Treatment.vtt	3.99 kB
6. Linear Regression Model/1. The problem statement.mp4	10.67 MB
6. Linear Regression Model/1. The problem statement.vtt	1.44 kB
6. Linear Regression Model/10. Multiple Linear Regression in R.mp4	73.09 MB
6. Linear Regression Model/10. Multiple Linear Regression in R.vtt	7.13 kB
6. Linear Regression Model/11. Project Exercise 9.html	327.00 B
6. Linear Regression Model/12. Test-Train split.mp4	49.15 MB
6. Linear Regression Model/12. Test-Train split.vtt	8.95 kB
6. Linear Regression Model/13. Bias Variance trade-off.mp4	29.58 MB
6. Linear Regression Model/13. Bias Variance trade-off.vtt	5.69 kB
6. Linear Regression Model/14. Test-Train Split in R.mp4	91.04 MB
6. Linear Regression Model/14. Test-Train Split in R.vtt	7.33 kB
6. Linear Regression Model/15. Linear models other than OLS.mp4	19.18 MB
6. Linear Regression Model/15. Linear models other than OLS.vtt	3.87 kB
6. Linear Regression Model/16. Subset Selection techniques.mp4	87.11 MB
6. Linear Regression Model/16. Subset Selection techniques.vtt	11.24 kB
6. Linear Regression Model/17. Subset selection in R.mp4	76.61 MB
6. Linear Regression Model/17. Subset selection in R.vtt	6.69 kB
6. Linear Regression Model/18. Project Exercise 10.html	199.00 B
6. Linear Regression Model/19. Shrinkage methods - Ridge Regression and The Lasso.mp4	38.67 MB
6. Linear Regression Model/19. Shrinkage methods - Ridge Regression and The Lasso.vtt	7.18 kB
6. Linear Regression Model/2. Basic equations and Ordinary Least Squared (OLS) method.mp4	50.23 MB
6. Linear Regression Model/2. Basic equations and Ordinary Least Squared (OLS) method.vtt	8.74 kB
6. Linear Regression Model/20. Ridge regression and Lasso in R.mp4	124.24 MB
6. Linear Regression Model/20. Ridge regression and Lasso in R.vtt	9.86 kB
6. Linear Regression Model/21. Project Exercise 11.html	398.00 B
6. Linear Regression Model/22. Final Project Exercise.html	329.00 B
6. Linear Regression Model/22.1 Movie_collection_test.csv.csv	11.72 kB
6. Linear Regression Model/23. Course Conclusion.html	1.67 kB
6. Linear Regression Model/3. Assessing Accuracy of predicted coefficients.mp4	104.43 MB
6. Linear Regression Model/3. Assessing Accuracy of predicted coefficients.vtt	13.99 kB
6. Linear Regression Model/4. Assessing Model Accuracy - RSE and R squared.mp4	49.73 MB
6. Linear Regression Model/4. Assessing Model Accuracy - RSE and R squared.vtt	7.06 kB
6. Linear Regression Model/5. Simple Linear Regression in R.mp4	50.59 MB
6. Linear Regression Model/5. Simple Linear Regression in R.vtt	7.10 kB
6. Linear Regression Model/6. Project Exercise 8.html	322.00 B
6. Linear Regression Model/7. Multiple Linear Regression.mp4	38.91 MB
6. Linear Regression Model/7. Multiple Linear Regression.vtt	5.08 kB
6. Linear Regression Model/8. The F - statistic.mp4	64.16 MB
6. Linear Regression Model/8. The F - statistic.vtt	7.98 kB
6. Linear Regression Model/9. Interpreting result for categorical Variable.mp4	27.15 MB
6. Linear Regression Model/9. Interpreting result for categorical Variable.vtt	4.68 kB
How to Support [ FreeCourseWeb.com ] for Free.txt	323.00 B
Torrent Downloaded From GloDls.to.txt	84.00 B
[ FreeCourseWeb.com ] Support Us.url	173.00 B

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Udemy - Machine Learning Basics- Building a Regression model in R