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【影视】 [Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Linear Regression in Python

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6. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
1. Welcome/4. Anyone Can Succeed in this Course.mp4 88.1 MB
7. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
1. Welcome/5. Statistics vs. Machine Learning.mp4 58.2 MB
1. Welcome/1. Welcome.mp4 52.1 MB
6. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
8/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
9. Appendix FAQ Finale/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
8/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 37.8 MB
8/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 30.7 MB
2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
7. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 25.7 MB
4. Practical machine learning issues/17. Why Divide by Square Root of D.mp4 24.6 MB
4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
2. 1-D Linear Regression Theory and Code/9. Moore's Law Derivation.mp4 21.2 MB
2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
8/1. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. 1-D Linear Regression Theory and Code/8. Demonstrating Moore's Law in Code.mp4 18.4 MB
4. Practical machine learning issues/4. Generalization and Overfitting Demonstration in Code.mp4 18.1 MB

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【影视】 [Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Logistic Regression in Python

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8. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
9. Extra Help With Python Coding for Beginners/4. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3/2. Define the multi-dimensional problem and derive the solution.mp4 63.2 MB
1. Start Here/3. Statistics vs. Machine Learning.mp4 58.4 MB
8. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
10. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
11. Appendix FAQ/2. BONUS Where to get discount coupons and FREE deep learning material.mp4 39.7 MB
10. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 39.5 MB
10. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 30.8 MB
1. Start Here/2. How to Succeed in this Course.mp4 29.3 MB
4. Practical concerns/8. The donut problem.mp4 25.9 MB
2/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
9. Extra Help With Python Coding for Beginners/2. How to Code by Yourself (part 1).mp4 25.7 MB
6. Project Facial Expression Recognition/5. Facial Expression Recognition in Code.mp4 25.2 MB
4. Practical concerns/10. Why Divide by Square Root of D.mp4 24.6 MB
7. Background Review/1. Gradient Descent Tutorial.mp4 23.9 MB
6. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 22.5 MB
2/9. Moore's Law Derivation.mp4 21.2 MB
2/5. Determine how good the model is - r-squared.mp4 20.7 MB
2/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB

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【压缩文件】 [ FreeCourseWeb.com ] Packt - Machine Learning for Beginners- Linear Regression Model in R.zip

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[ FreeCourseWeb.com ] Packt - Machine Learning for Beginners- Linear Regression Model in R.zip 1.8 GB

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【影视】 [FreeCourseLab.com] Udemy - Deep Learning Prerequisites Linear Regression in Python

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6. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
1. Welcome/1. Welcome.mp4 52.1 MB
6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
6. Appendix/11. What order should I take your courses in (part 2).vtt 39.5 MB
6. Appendix/11. What order should I take your courses in (part 2).mp4 39.4 MB
3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 37.8 MB
6. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB
2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
6. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
6. Appendix/7. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. 1-D Linear Regression Theory and Code/7. Demonstrating Moore's Law in Code.mp4 18.3 MB
4. Practical machine learning issues/4. Generalization and Overfitting Demonstration in Code.mp4 18.1 MB
3. Multiple linear regression and polynomial regression/5. Polynomial regression - extending linear regression (with Python code).mp4 17.2 MB
3. Multiple linear regression and polynomial regression/4. Coding the multi-dimensional solution in Python.mp4 15.6 MB
6. Appendix/6. How to Code by Yourself (part 2).mp4 15.5 MB
2. 1-D Linear Regression Theory and Code/3. Coding the 1-D solution in Python.mp4 15.1 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Mastering Multiple Regression with Minitab - A Deep Dive.zip

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[ FreeCourseWeb.com ] Udemy - Mastering Multiple Regression with Minitab - A Deep Dive.zip 2.3 GB

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【影视】 Regression.2015_HD__Androidkino.NET.mp4

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Regression.2015_HD__Androidkino.NET.mp4 257.0 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Excel Analytics- Linear Regression Analysis in MS Excel.zip

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[ FreeCourseWeb.com ] Udemy - Excel Analytics- Linear Regression Analysis in MS Excel.zip 1.5 GB

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【影视】 [ELECTRO-TORRENT.PL] Regression

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Regression [2015] PLSUBBED.720p.BDRiP.XViD.AC3-MX.avi 3.1 GB
upload by Lukario007.gif 1.1 MB
upload by ET.png 21.2 kB
INFO!!!.txt 604 Bytes
Zapraszamy.url 115 Bytes
epremki.url 107 Bytes

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Regression Analysis & Predictive Modelling.zip

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[ FreeCourseWeb.com ] Udemy - Regression Analysis & Predictive Modelling.zip 456.6 MB

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【压缩文件】 [ DevCourseWeb.com ] Regression Analysis for Machine Learning & Predictions in R.zip

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[ DevCourseWeb.com ] Regression Analysis for Machine Learning & Predictions in R.zip 1.2 GB

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【影视】 [FTUForum.com] [UDEMY] Machine Learning Basics Building Regression Model in Python [FTU]

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6. Linear Regression/18. Ridge regression and Lasso in Python.mp4 264.3 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 129.9 MB
5. Data Preprocessing/16. Bi-variate analysis and Variable transformation.mp4 119.3 MB
6. Linear Regression/5. Assessing accuracy of predicted coefficients.mp4 109.5 MB
6. Linear Regression/10. Multiple Linear Regression in Python.mp4 92.4 MB
6. Linear Regression/16. Subset selection techniques.mp4 91.4 MB
5. Data Preprocessing/10. Outlier Treatment in Python.mp4 90.8 MB
2. Basics of Statistics/3. Describing data Graphically.mp4 86.2 MB
5. Data Preprocessing/23. Correlation Analysis.mp4 85.2 MB
3. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 84.5 MB
6. Linear Regression/3. Simple Linear Regression in Python.mp4 82.5 MB
5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 82.4 MB
5. Data Preprocessing/7. EDD in Python.mp4 78.7 MB
3. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4 77.3 MB
3. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 76.6 MB
5. Data Preprocessing/24. Correlation Analysis in Python.mp4 71.3 MB
6. Linear Regression/8. The F - statistic.mp4 67.2 MB
1. Introduction/2. Course contents.mp4 67.0 MB
6. Linear Regression/14. Test train split in Python.mp4 60.6 MB
3. Setting up Python and Jupyter Notebook/8. Working with Panda Library of Python.mp4 59.2 MB

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【影视】 [FTUForum.com] [UDEMY] Machine Learning Basics Building a Regression model in R [FTU]

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6. Linear Regression Model/20. Ridge regression and Lasso in R.mp4 189.9 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 129.9 MB
3. Getting started with R and R studio/7. Creating Barplots in R.mp4 123.3 MB
5. Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.mp4 119.3 MB
5. Data Preprocessing/7. EDD in R.mp4 117.7 MB
6. Linear Regression Model/3. Assessing Accuracy of predicted coefficients.mp4 109.5 MB
3. Getting started with R and R studio/3. Packages in R.mp4 103.5 MB
5. Data Preprocessing/24. Correlation Matrix in R.mp4 99.7 MB
6. Linear Regression Model/14. Test-Train Split in R.mp4 95.5 MB
6. Linear Regression Model/16. Subset Selection techniques.mp4 91.3 MB
2. Basics of Statistics/3. Describing the data graphically.mp4 86.2 MB
5. Data Preprocessing/23. Correlation Matrix and cause-effect relationship.mp4 85.2 MB
5. Data Preprocessing/3. The Data and the Data Dictionary.mp4 82.4 MB
6. Linear Regression Model/17. Subset selection in R.mp4 80.3 MB
6. Linear Regression Model/10. Multiple Linear Regression in R.mp4 76.7 MB
3. Getting started with R and R studio/6. Inputting data part 3 Importing from CSV or Text files.mp4 72.5 MB
5. Data Preprocessing/17. Variable transformation in R.mp4 71.2 MB
6. Linear Regression Model/8. The F - statistic.mp4 67.3 MB
1. Introduction/2. Course contents.mp4 66.6 MB
6. Linear Regression Model/19. Shrinkage methods - Ridge Regression and The Lasso.mp4 55.5 MB

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【压缩文件】 Regression, Data Mining, Text Mining, Forecasting using R

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Regression, Data Mining, Text Mining, Forecasting using R.zip 4.3 GB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
TutsGalaxy.com.txt 52 Bytes

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【影视】 Regression.2015.1080p.BluRay.x265-RARBG

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Regression.2015.1080p.BluRay.x265-RARBG.mp4 1.8 GB
Subs/3_English.srt 77.1 kB
RARBG_DO_NOT_MIRROR.exe 99 Bytes
RARBG.txt 30 Bytes

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Start Machine Learning Here- Linear Regression model in R.zip

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[ FreeCourseWeb.com ] Udemy - Start Machine Learning Here- Linear Regression model in R.zip 2.9 GB

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【影视】 Regression.2015.720p.BluRay.H264.AAC-RARBG

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Regression.2015.720p.BluRay.H264.AAC-RARBG.mp4 1.4 GB
Subs/Regression.2015.720p.BluRay.H264.AAC-RARBG.sub 7.8 MB
Subs/3_English.srt 80.1 kB
Subs/2_English.srt 77.2 kB
Subs/Regression.2015.720p.BluRay.H264.AAC-RARBG.idx 49.7 kB
RARBG_DO_NOT_MIRROR.exe 99 Bytes
RARBG.txt 30 Bytes

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【影视】 Machine Learning Basics Practical Linear Regression in R

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[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/4. More types of linear regression models in R/6. GLM Preview Logistic Regression Model & Accuracy Assessment.mp4 86.9 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/4. More types of linear regression models in R/1. Lab Multiple linear regression - model estimation in R.mp4 63.1 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/4. More types of linear regression models in R/5. ANOVA - Categorical variables with more than two levels in linear regressions.mp4 57.2 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/3. Linear Regression in R/2. Lab your first linear regression model.mp4 55.9 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/1. Introduction/2. Introduction to Regression Analysis and Linear Regression.mp4 51.5 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/2. Software used in this course R-Studio and Introduction to R/3. Lab Get started with R in RStudio.mp4 50.0 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/1. Introduction/4. What is Machine Leraning and it's main types.mp4 49.1 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/4. More types of linear regression models in R/3. Lab Multiple linear regression with interaction in R.mp4 46.7 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/3. Linear Regression in R/5. Linear Regression Diagnostics.mp4 45.3 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/2. Software used in this course R-Studio and Introduction to R/2. How to install R and RStudio in 2020.mp4 40.6 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/4. More types of linear regression models in R/8. Lab Receiver operating characteristic (ROC) curve and AUC.mp4 38.5 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/3. Linear Regression in R/9. Prediction model evaluation with data split out-of-sample RMSE.mp4 32.7 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/4. More types of linear regression models in R/4. Lab Regression with Categorical Variables Dummy Coding Essentials in R.mp4 31.1 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/3. Linear Regression in R/8. Lab Predict with linear regression model & RMSE as in-sample error.mp4 25.5 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/4. More types of linear regression models in R/2. Lab Multiple linear regression - prediction in R.mp4 19.8 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/1. Introduction/1. Introduction.mp4 18.1 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/3. Linear Regression in R/1. Getting started with linear regression.mp4 16.9 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/3. Linear Regression in R/3. Correlation in Regression Analysis in R Lab.mp4 13.7 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/2. Software used in this course R-Studio and Introduction to R/1. What is R and RStudio.mp4 12.8 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/3. Linear Regression in R/4. How to know if the model is best fit for your data - An overview.mp4 9.6 MB

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【影视】 [DesireCourse.Com] Udemy - Machine Learning Basics Building Regression Model in Python

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6. Linear Regression/18. Ridge regression and Lasso in Python.mp4 164.2 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 129.9 MB
5. Data Preprocessing/16. Bi-variate analysis and Variable transformation.mp4 119.3 MB
6. Linear Regression/3. Assessing accuracy of predicted coefficients.mp4 109.5 MB
6. Linear Regression/10. Multiple Linear Regression in Python.mp4 92.4 MB
6. Linear Regression/16. Subset selection techniques.mp4 91.4 MB
5. Data Preprocessing/10. Outlier Treatment in Python.mp4 90.8 MB
2. Basics of Statistics/3. Describing data Graphically.mp4 86.2 MB
5. Data Preprocessing/23. Correlation Analysis.mp4 85.2 MB
3. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 84.6 MB
6. Linear Regression/5. Simple Linear Regression in Python.vtt 82.5 MB
6. Linear Regression/5. Simple Linear Regression in Python.mp4 82.5 MB
5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 82.4 MB
5. Data Preprocessing/7. EDD in Python.mp4 78.7 MB
3. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4 77.3 MB
3. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 76.6 MB
5. Data Preprocessing/24. Correlation Analysis in Python.mp4 71.3 MB
6. Linear Regression/8. The F - statistic.mp4 67.2 MB
6. Linear Regression/14. Test train split in Python.mp4 60.6 MB
3. Setting up Python and Jupyter Notebook/8. Working with Panda Library of Python.mp4 59.2 MB

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【影视】 [FreeCoursesOnline.Me] [Packt] Regression Analysis for Statistics and Machine Learning in R [FCO]

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1.Get Started with Practical Regression Analysis in R/01.INTRODUCTION TO THE COURSE - The Key Concepts and Software Tools.mp4 121.2 MB
7.Working with Non-Parametric and Non-Linear Data/55.ML Model Selection.mp4 107.1 MB
6.Generalized Linear Models (GLMs)/45.Goodness of fit testing.mp4 91.4 MB
1.Get Started with Practical Regression Analysis in R/02.Difference Between Statistical Analysis & Machine Learning.mp4 75.6 MB
1.Get Started with Practical Regression Analysis in R/07.Basic Exploratory Data Analysis in R.mp4 58.3 MB
1.Get Started with Practical Regression Analysis in R/04.Reading in Data with R.mp4 52.2 MB
1.Get Started with Practical Regression Analysis in R/05.Data Cleaning with R.mp4 47.0 MB
6.Generalized Linear Models (GLMs)/41.Logistic regression.mp4 46.6 MB
7.Working with Non-Parametric and Non-Linear Data/48.Generalized Additive Models (GAMs) in R.mp4 41.9 MB
4.Variable & Model Selection/32.Evaluate Regression Model Performance.mp4 41.6 MB
4.Variable & Model Selection/29.Select the Most Suitable OLS Regression Model.mp4 40.7 MB
6.Generalized Linear Models (GLMs)/42.Logistic Regression for Binary Response Variable.mp4 33.2 MB
2.Ordinary Least Square Regression Modelling/18.Multiple Linear regression with Interaction and Dummy Variables.mp4 31.7 MB
3.Deal with Multicollinearity in OLS Regression Models/23.Principal Component Regression in R.mp4 31.0 MB
1.Get Started with Practical Regression Analysis in R/06.Some More Data Cleaning with R.mp4 30.4 MB
3.Deal with Multicollinearity in OLS Regression Models/21.Identify Multicollinearity.mp4 30.1 MB
7.Working with Non-Parametric and Non-Linear Data/51.CART-Regression Trees in R.mp4 29.7 MB
Exercise Files/code_9781838987862.zip 29.3 MB
2.Ordinary Least Square Regression Modelling/09.OLS Regression- Theory.mp4 29.1 MB
2.Ordinary Least Square Regression Modelling/19.Some Basic Conditions that OLS Models Have to Fulfill.mp4 28.9 MB

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【压缩文件】 [ DevCourseWeb.com ] Udemy - Regression & Classification with Machine Learning in R.zip

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[ DevCourseWeb.com ] Udemy - Regression & Classification with Machine Learning in R.zip 1.5 GB

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