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    [FreeCourseSite.com] Udemy - ML for Business Managers Build Regression model in R Studio
- Date: 2023-11-24
- Size: 2.8 GB
- Files: 174
File Name
                Size
            0. Websites you may like/[CourseClub.ME].url
                122 B
            0. Websites you may like/[FCS Forum].url
                133 B
            0. Websites you may like/[FreeCourseSite.com].url
                127 B
            0. Websites you may like/[GigaCourse.Com].url
                49 B
            1. Introduction/1. Welcome to the course!.mp4
                15 MB
            1. Introduction/1. Welcome to the course!.srt
                3.4 kB
            1. Introduction/2. Course Resources.html
                345 B
            1. Introduction/3. Course contents.mp4
                47 MB
            1. Introduction/3. Course contents.srt
                10 kB
            1. Introduction/3.1 00_Introduction_01.pdf
                792 kB
            1. Introduction/4. This is a milestone!.mp4
                21 MB
            1. Introduction/4. This is a milestone!.srt
                3.8 kB
            2. Basics of Statistics/1. Types of Data.mp4
                22 MB
            2. Basics of Statistics/1. Types of Data.srt
                5.0 kB
            2. Basics of Statistics/1.1 01_01_Lecture_TypesOfData.pdf
                178 kB
            2. Basics of Statistics/2. Types of Statistics.mp4
                11 MB
            2. Basics of Statistics/2. Types of Statistics.srt
                3.2 kB
            2. Basics of Statistics/2.1 01_02_Lecture_TypesOfStatistics.pdf
                172 kB
            2. Basics of Statistics/3. Describing the data graphically.mp4
                65 MB
            2. Basics of Statistics/3. Describing the data graphically.srt
                13 kB
            2. Basics of Statistics/3.1 01_03_Lecture_DataSummaryandGraph.pdf
                318 kB
            2. Basics of Statistics/4. Measures of Centers.mp4
                39 MB
            2. Basics of Statistics/4. Measures of Centers.srt
                7.9 kB
            2. Basics of Statistics/4.1 01_04_Lecture_Centers.pdf
                313 kB
            2. Basics of Statistics/5. Practice Exercise 1.html
                354 B
            2. Basics of Statistics/5.1 Exercise 1.pdf
                554 kB
            2. Basics of Statistics/6. Measures of Dispersion.mp4
                23 MB
            2. Basics of Statistics/6. Measures of Dispersion.srt
                5.2 kB
            2. Basics of Statistics/7. Practice Exercise 2.html
                295 B
            2. Basics of Statistics/7.1 Exercise 2.pdf
                480 kB
            3. Getting started with R and R studio/1. Installing R and R studio.mp4
                41 MB
            3. Getting started with R and R studio/1. Installing R and R studio.srt
                7.3 kB
            3. Getting started with R and R studio/2. Basics of R and R studio.mp4
                48 MB
            3. Getting started with R and R studio/2. Basics of R and R studio.srt
                14 kB
            3. Getting started with R and R studio/3. Packages in R.mp4
                99 MB
            3. Getting started with R and R studio/3. Packages in R.srt
                14 kB
            3. Getting started with R and R studio/4. Inputting data part 1 Inbuilt datasets of R.mp4
                46 MB
            3. Getting started with R and R studio/4. Inputting data part 1 Inbuilt datasets of R.srt
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            3. Getting started with R and R studio/5. Inputting data part 2 Manual data entry.mp4
                31 MB
            3. Getting started with R and R studio/5. Inputting data part 2 Manual data entry.srt
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            3. Getting started with R and R studio/6. Inputting data part 3 Importing from CSV or Text files.mp4
                69 MB
            3. Getting started with R and R studio/6. Inputting data part 3 Importing from CSV or Text files.srt
                8.3 kB
            3. Getting started with R and R studio/6.1 Customer.csv
                74 kB
            3. Getting started with R and R studio/7. Creating Barplots in R.mp4
                118 MB
            3. Getting started with R and R studio/7. Creating Barplots in R.srt
                18 kB
            3. Getting started with R and R studio/8. Creating Histograms in R.mp4
                52 MB
            3. Getting started with R and R studio/8. Creating Histograms in R.srt
                7.5 kB
            4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4
                124 MB
            4. Introduction to Machine Learning/1. Introduction to Machine Learning.srt
                23 kB
            4. Introduction to Machine Learning/1.1 Lecture_machineLearning.pdf
                992 kB
            4. Introduction to Machine Learning/2. Building a Machine Learning model.mp4
                45 MB
            4. Introduction to Machine Learning/2. Building a Machine Learning model.srt
                13 kB
            4. Introduction to Machine Learning/2.1 Lecture_machineLearning.pdf
                1002 kB
            4. Introduction to Machine Learning/3. Introduction to Machine learning quiz.html
                207 B
            5. Data Preprocessing/1. Gathering Business Knowledge.mp4
                25 MB
            5. Data Preprocessing/1. Gathering Business Knowledge.srt
                3.9 kB
            5. Data Preprocessing/1.1 03_01_PDE_Business_knowledge.pdf
                164 kB
            5. Data Preprocessing/10. Outlier Treatment in R.mp4
                38 MB
            5. Data Preprocessing/10. Outlier Treatment in R.srt
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            5. Data Preprocessing/11. Project Exercise 3.html
                233 B
            5. Data Preprocessing/12. Missing Value imputation.mp4
                28 MB
            5. Data Preprocessing/12. Missing Value imputation.srt
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            5. Data Preprocessing/12.1 04_05_PDE_Missing_value.pdf
                316 kB
            5. Data Preprocessing/13. Missing Value imputation in R.mp4
                32 MB
            5. Data Preprocessing/13. Missing Value imputation in R.srt
                3.5 kB
            5. Data Preprocessing/14. Project Exercise 4.html
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            5. Data Preprocessing/15. Seasonality in Data.mp4
                21 MB
            5. Data Preprocessing/15. Seasonality in Data.srt
                3.8 kB
            5. Data Preprocessing/15.1 04_07_PDE_Seasonality.pdf
                364 kB
            5. Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.mp4
                114 MB
            5. Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.srt
                18 kB
            5. Data Preprocessing/16.1 04_07_Variable_Transformation.pdf
                423 kB
            5. Data Preprocessing/17. Variable transformation in R.mp4
                68 MB
            5. Data Preprocessing/17. Variable transformation in R.srt
                9.1 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.srt
                5.4 kB
            5. Data Preprocessing/19.1 04_08_PDE_Non_Usable_var.pdf
                148 kB
            5. Data Preprocessing/2. Data Exploration.mp4
                23 MB
            5. Data Preprocessing/2. Data Exploration.srt
                3.6 kB
            5. Data Preprocessing/2.1 03_02_PDE_Data_exploration.pdf
                323 kB
            5. Data Preprocessing/20. Dummy variable creation Handling qualitative data.mp4
                41 MB
            5. Data Preprocessing/20. Dummy variable creation Handling qualitative data.srt
                4.9 kB
            5. Data Preprocessing/20.1 04_11_Dummy_Var.pdf
                163 kB
            5. Data Preprocessing/21. Dummy variable creation in R.mp4
                52 MB
            5. Data Preprocessing/21. Dummy variable creation in R.srt
                5.2 kB
            5. Data Preprocessing/22. Project Exercise 6.html
                202 B
            5. Data Preprocessing/23. Correlation Matrix and cause-effect relationship.mp4
                81 MB
            5. Data Preprocessing/23. Correlation Matrix and cause-effect relationship.srt
                11 kB
            5. Data Preprocessing/23.1 04_10_Correlation.pdf
                257 kB
            5. Data Preprocessing/24. Correlation Matrix in R.mp4
                95 MB
            5. Data Preprocessing/24. Correlation Matrix in R.srt
                9.1 kB
            5. Data Preprocessing/25. Project Exercise 7.html
                288 B
            5. Data Preprocessing/26. Quiz.html
                207 B
            5. Data Preprocessing/3. The Data and the Data Dictionary.mp4
                79 MB
            5. Data Preprocessing/3. The Data and the Data Dictionary.srt
                7.8 kB
            5. Data Preprocessing/3.1 03_03_PDE_Raw_Data_Analysis_Uni.pdf
                332 kB
            5. Data Preprocessing/3.2 House_Price.csv
                64 kB
            5. Data Preprocessing/4. Importing the dataset into R.mp4
                16 MB
            5. Data Preprocessing/4. Importing the dataset into R.srt
                2.6 kB
            5. Data Preprocessing/4.1 House_Price.csv
                54 kB
            5. Data Preprocessing/4.2 R_Linear.zip
                1.1 kB
            5. Data Preprocessing/5. Project Exercise 1.html
                447 B
            5. Data Preprocessing/5.1 Movie_collection_train.csv
                43 kB
            5. Data Preprocessing/6. Univariate Analysis and EDD.mp4
                27 MB
            5. Data Preprocessing/6. Univariate Analysis and EDD.srt
                3.4 kB
            5. Data Preprocessing/6.1 03_04_PDE_Univariate_Analysis_Uni.pdf
                333 kB
            5. Data Preprocessing/7. EDD in R.mp4
                112 MB
            5. Data Preprocessing/7. EDD in R.srt
                12 kB
            5. Data Preprocessing/8. Project Exercise 2.html
                177 B
            5. Data Preprocessing/9. Outlier Treatment.mp4
                28 MB
            5. Data Preprocessing/9. Outlier Treatment.srt
                4.5 kB
            5. Data Preprocessing/9.1 04_06_PDE_Outlier_Treatment.pdf
                365 kB
            6. Linear Regression Model/1. The problem statement.mp4
                11 MB
            6. Linear Regression Model/1. The problem statement.srt
                1.6 kB
            6. Linear Regression Model/1.1 05_01_Intro.pdf
                239 kB
            6. Linear Regression Model/10. Interpreting result for categorical Variable.mp4
                27 MB
            6. Linear Regression Model/10. Interpreting result for categorical Variable.srt
                5.3 kB
            6. Linear Regression Model/10.1 05_06_Cat_var.pdf
                156 kB
            6. Linear Regression Model/11. Multiple Linear Regression in R.mp4
                73 MB
            6. Linear Regression Model/11. Multiple Linear Regression in R.srt
                8.1 kB
            6. Linear Regression Model/12. Quiz.html
                207 B
            6. Linear Regression Model/13. Project Exercise 9.html
                328 B
            6. Linear Regression Model/14. Test-Train split.mp4
                49 MB
            6. Linear Regression Model/14. Test-Train split.srt
                10 kB
            6. Linear Regression Model/14.1 05_12_Test_Train.pdf
                239 kB
            6. Linear Regression Model/15. Bias Variance trade-off.mp4
                30 MB
            6. Linear Regression Model/15. Bias Variance trade-off.srt
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            6. Linear Regression Model/15.1 05_13_Bias_Var_tradeoff.pdf
                212 kB
            6. Linear Regression Model/16. More about test-train split.html
                559 B
            6. Linear Regression Model/17. Test-Train Split in R.mp4
                91 MB
            6. Linear Regression Model/17. Test-Train Split in R.srt
                8.4 kB
            6. Linear Regression Model/18. Quiz.html
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            6. Linear Regression Model/2. Basic equations and Ordinary Least Squared (OLS) method.mp4
                50 MB
            6. Linear Regression Model/2. Basic equations and Ordinary Least Squared (OLS) method.srt
                9.9 kB
            6. Linear Regression Model/2.1 05_02_Simple_lin_reg.pdf
                285 kB
            6. Linear Regression Model/3. Assessing Accuracy of predicted coefficients.mp4
                104 MB
            6. Linear Regression Model/3. Assessing Accuracy of predicted coefficients.srt
                16 kB
            6. Linear Regression Model/3.1 05_03_Simple_lin_reg_Accuracy.pdf
                333 kB
            6. Linear Regression Model/4. Assessing Model Accuracy - RSE and R squared.mp4
                50 MB
            6. Linear Regression Model/4. Assessing Model Accuracy - RSE and R squared.srt
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            6. Linear Regression Model/4.1 05_03_Simple_lin_reg_Accuracy.pdf
                333 kB
            6. Linear Regression Model/5. Simple Linear Regression in R.mp4
                51 MB
            6. Linear Regression Model/5. Simple Linear Regression in R.srt
                8.0 kB
            6. Linear Regression Model/6. Project Exercise 8.html
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            6. Linear Regression Model/7. Multiple Linear Regression.mp4
                39 MB
            6. Linear Regression Model/7. Multiple Linear Regression.srt
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            6. Linear Regression Model/7.1 05_04_Multiple_lin_reg.pdf
                230 kB
            6. Linear Regression Model/8. The F - statistic.mp4
                64 MB
            6. Linear Regression Model/8. The F - statistic.srt
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            6. Linear Regression Model/8.1 05_05_F_stat.pdf
                338 kB
            6. Linear Regression Model/9. Quiz.html
                207 B
            7. Regression models other than OLS/1. Linear models other than OLS.mp4
                19 MB
            7. Regression models other than OLS/1. Linear models other than OLS.srt
                4.4 kB
            7. Regression models other than OLS/1.1 05_09_Other_lin_model.pdf
                156 kB
            7. Regression models other than OLS/2. Subset Selection techniques.mp4
                87 MB
            7. Regression models other than OLS/2. Subset Selection techniques.srt
                13 kB
            7. Regression models other than OLS/2.1 05_10_Subset_Selection.pdf
                198 kB
            7. Regression models other than OLS/3. Subset selection in R.mp4
                77 MB
            7. Regression models other than OLS/3. Subset selection in R.srt
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            7. Regression models other than OLS/4. Project Exercise 10.html
                199 B
            7. Regression models other than OLS/5. Shrinkage methods - Ridge Regression and The Lasso.mp4
                39 MB
            7. Regression models other than OLS/5. Shrinkage methods - Ridge Regression and The Lasso.srt
                8.0 kB
            7. Regression models other than OLS/5.1 05_11_Shrinkage_methods.pdf
                188 kB
            7. Regression models other than OLS/6. Ridge regression and Lasso in R.mp4
                124 MB
            7. Regression models other than OLS/6. Ridge regression and Lasso in R.srt
                11 kB
            7. Regression models other than OLS/7. Heteroscedasticity.mp4
                18 MB
            7. Regression models other than OLS/7. Heteroscedasticity.srt
                2.6 kB
            7. Regression models other than OLS/8. Project Exercise 11.html
                398 B
            8. Conclusion/1. Final Project Exercise.html
                329 B
            8. Conclusion/1.1 Movie_collection_test.csv
                12 kB
            8. Conclusion/2. The final milestone!.mp4
                12 MB
            8. Conclusion/2. The final milestone!.srt
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            8. Conclusion/3. Congratulations & About your certificate.html
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