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【影视】 [DesireCourse.Com] Udemy - Machine Learning Basics Building a Regression model in R

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6. Linear Regression Model/20. Ridge regression and Lasso in R.mp4 130.3 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
5. Data Preprocessing/21. Dummy variable creation in R.mp4 54.8 MB
3. Getting started with R and R studio/8. Creating Histograms in R.mp4 54.0 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Logistic Regression, Decision Tree and Neural Network in R.zip

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[ FreeCourseWeb.com ] Udemy - Logistic Regression, Decision Tree and Neural Network in R.zip 157.9 MB

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【压缩文件】 [ CourseBoat.com ] Udemy - Dummy Variables in Regression Analysis.zip

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[ CourseBoat.com ] Udemy - Dummy Variables in Regression Analysis.zip 371.8 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Linear Regression and Logistic Regression using R Studio.zip

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[ FreeCourseWeb.com ] Udemy - Linear Regression and Logistic Regression using R Studio.zip 2.7 GB

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【影视】 [FreeCoursesOnline.Me] PacktPub - Understanding Regression Techniques [Video]

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3.Linear Regression - Binary, Categorical, and Quadratic Variables/14.Categorical variables.mp4 194.1 MB
11.Poisson Regression/69.Single independent variable.mp4 167.2 MB
7.Logistic Regression Models/39.Single independent variable.mp4 159.4 MB
3.Linear Regression - Binary, Categorical, and Quadratic Variables/13.Binary variables.mp4 117.2 MB
7.Logistic Regression Models/43.Categorical variables.mp4 96.6 MB
Exercise Files/code_9781800200197.zip 96.0 MB
11.Poisson Regression/71.Binary variables.mp4 90.2 MB
12.Other Count Models/77.Zero-inflated models.mp4 89.4 MB
3.Linear Regression - Binary, Categorical, and Quadratic Variables/15.Quadratic variables.mp4 89.4 MB
11.Poisson Regression/73.Categorical variables.mp4 83.2 MB
11.Poisson Regression/74.Exposure.mp4 78.6 MB
6.Logistic Regression - Contingency Tables/38.Two-by-three tables.mp4 77.1 MB
7.Logistic Regression Models/41.Binary variables.mp4 75.2 MB
11.Poisson Regression/72.Multiple independent variables.mp4 71.1 MB
7.Logistic Regression Models/42.Multiple independent variables.mp4 69.3 MB
7.Logistic Regression Models/45.Nonlinearity - Graphical test.mp4 66.7 MB
1.Simple Linear Regression/03.The slope.mp4 64.8 MB
1.Simple Linear Regression/07.The residuals.mp4 59.6 MB
8.Logistic Regression - Prediction and Model Fit/49.Goodness of fit - Classification tables.mp4 57.3 MB
12.Other Count Models/75.Negative binomial regression.mp4 56.3 MB

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【压缩文件】 [DesireCourse.Net] Udemy - Deep Learning Prerequisites Logistic Regression in Python

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[DesireCourse.Net] Udemy - Deep Learning Prerequisites Logistic Regression in Python.zip 774.8 MB
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【音乐】 VA - Regression Volume One (2021)

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【压缩文件】 [ FreeCourseWeb.com ] Linear Regression in Python - Complete Statistics and Coding (Updated 7 - 2020).zip

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[ FreeCourseWeb.com ] Linear Regression in Python - Complete Statistics and Coding (Updated 7 - 2020).zip 1.8 GB

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【影视】 Regression.2015.1080p.BluRay.H264.AAC-RARBG

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【影视】 [UdemyCourseDownloader] Regression Analysis for Statistics & Machine Learning in R

收录时间:2021-04-19 文档个数:122 文档大小:1.1 GB 最近下载:2025-05-15 人气:401 磁力链接

1. Get Started with Practical Regression Analysis in R/8. Basic Exploratory Data Analysis in R.mp4 50.6 MB
1. Get Started with Practical Regression Analysis in R/5. Reading in Data with R.mp4 44.7 MB
1. Get Started with Practical Regression Analysis in R/6. Data Cleaning with R.mp4 42.5 MB
6. Generalized Linear Models(GLMs)/2. Logistic regression.mp4 41.0 MB
7. Working with Non-Parametric and Non-Linear Data/3. Generalized Additive Models (GAMs) in R.mp4 40.4 MB
3. Deal with Multicollinearity in OLS Regression Models/1. Identify Multicollinearity.mp4 40.0 MB
2. Ordinary Least Square Regression Modelling/10. Multiple Linear regression with Interaction and Dummy Variables.mp4 39.4 MB
4. Variable & Model Selection/5. Evaluate Regression Model Performance.mp4 36.5 MB
4. Variable & Model Selection/2. Select the Most Suitable OLS Regression Model.mp4 34.9 MB
2. Ordinary Least Square Regression Modelling/11. Some Basic Conditions that OLS Models Have to Fulfill.mp4 32.0 MB
5. Dealing With Other Violations of the OLS Regression Models/1. Data Transformations.mp4 30.4 MB
7. Working with Non-Parametric and Non-Linear Data/9. Random Forest(RF).mp4 29.6 MB
6. Generalized Linear Models(GLMs)/3. Logistic Regression for Binary Response Variable.mp4 27.6 MB
3. Deal with Multicollinearity in OLS Regression Models/3. Principal Component Regression in R.mp4 26.7 MB
7. Working with Non-Parametric and Non-Linear Data/7. CART-Regression Trees in R.mp4 26.4 MB
2. Ordinary Least Square Regression Modelling/1. OLS Regression- Theory.mp4 26.1 MB
7. Working with Non-Parametric and Non-Linear Data/2. Polynomial and Non-linear regression.mp4 25.4 MB
1. Get Started with Practical Regression Analysis in R/7. Some More Data Cleaning with R.mp4 24.0 MB
4. Variable & Model Selection/7. Identify the Contribution of Predictors in Explaining the Variation in Y.mp4 23.0 MB
7. Working with Non-Parametric and Non-Linear Data/5. Multivariate Adaptive Regression Splines (MARS).mp4 22.7 MB

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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/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
7. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 63.2 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/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
8. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
9. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
8. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 39.5 MB
8. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 30.7 MB
1. Welcome/4. How to Succeed in this Course.mp4 29.3 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/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/5. Determine how good the model is - r-squared.mp4 20.7 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. Effective Learning Strategies for Machine Learning/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 18.3 MB

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【影视】 [GigaCourse.com] Udemy - Deep Learning Prerequisites Logistic Regression in Python

收录时间:2021-04-16 文档个数:119 文档大小:1.3 GB 最近下载:2025-05-14 人气:660 磁力链接

7. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
2. Basics What is linear classification What's the relation to neural networks/3. How do we calculate the output of a neuron logistic classifier - Theory.srt 84.1 MB
7. Appendix FAQ/10. Proof that using Jupyter Notebook is the same as not using it.srt 82.1 MB
7. Appendix FAQ/10. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
4. Practical concerns/11. Practical Section Summary.srt 82.1 MB
1. Start Here/1. Introduction and Outline.mp4 49.2 MB
7. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
7. Appendix FAQ/9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
7. Appendix FAQ/14. BONUS Where to get discount coupons and FREE deep learning material.mp4 39.7 MB
7. Appendix FAQ/13. What order should I take your courses in (part 2).mp4 39.4 MB
7. Appendix FAQ/12. What order should I take your courses in (part 1).mp4 30.7 MB
2. Basics What is linear classification What's the relation to neural networks/5. Interpretation of Logistic Regression Output.mp4 29.2 MB
3. Solving for the optimal weights/7. Maximizing the likelihood.mp4 26.4 MB
4. Practical concerns/8. The donut problem.mp4 25.9 MB
7. Appendix FAQ/5. 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. Appendix FAQ/2. Gradient Descent Tutorial.mp4 23.9 MB
6. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 22.5 MB
3. Solving for the optimal weights/10. E-Commerce Course Project Training the Logistic Model.mp4 17.9 MB

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【压缩文件】 [ CourseWikia.com ] Udemy - Binary Logistic Regression with Minitab - Ssmbb Level Topic.zip

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Machine Learning - Linear Regression [Step by Step Guide].rar

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【影视】 Regression (2015) [480p] [BRRip] [XviD] [AC3-H1] [Lektor PL]

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Regression (2015) [480p] [BRRip] [XviD] [AC3-H1] [Lektor PL].avi 1.3 GB
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【影视】 Machine Learning 2021 Practical Regression Analysis in R

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[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/7. Non-Parametric Regression Analysis in R Random Forest, Decision Trees and more/6. Lab Machine Learning Models' Comparison & Best Model Selection.mp4 106.2 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/7. Non-Parametric Regression Analysis in R Random Forest, Decision Trees and more/4. Lab Random Forest in R.mp4 105.0 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/6. Non-Linear Regression Analysis in R Polynomial & Spline regression, GAMs/2. Lab Polynomial regression in R.mp4 68.1 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/5. More types of regression models/1. Lab Multiple linear regression - model estimation.mp4 63.1 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/5. More types of regression models/5. ANOVA - Categorical variables with more than two levels in linear regressions.mp4 57.2 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/4. Your first linear regression model in R.mp4 55.9 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/7. Non-Parametric Regression Analysis in R Random Forest, Decision Trees and more/2. Lab Decision Trees in R.mp4 54.5 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/1. Overview of Regression Analysis.mp4 51.6 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/1. Introduction to the course, Machine Learning & Regression Analysis/2. Introduction to Regression Analysis.mp4 51.5 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/3. R Crash Course - get started with R-programming in R-Studio/6. Lab data types and data structures in R.mp4 50.4 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/2. Software used in this course R-Studio and Introduction to R/6. Lab Get started with R in RStudio.mp4 50.0 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/6. Non-Linear Regression Analysis in R Polynomial & Spline regression, GAMs/5. Lab Generalized additive models in R.mp4 49.8 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/6. Non-Linear Regression Analysis in R Polynomial & Spline regression, GAMs/4. Lab Spline regression in R.mp4 49.2 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/5. More types of regression models/3. Lab Multiple linear regression with interaction.mp4 46.7 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/7. Lab Linear Regression Diagnostics.mp4 45.3 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/2. Software used in this course R-Studio and Introduction to R/4. Lab Install R and RStudio in 2020.mp4 40.6 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/3. R Crash Course - get started with R-programming in R-Studio/7. Vectors' operations in R.mp4 37.7 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/1. Introduction to the course, Machine Learning & Regression Analysis/4. What is Machine Leraning and it's main types.mp4 36.0 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/3. R Crash Course - get started with R-programming in R-Studio/12. Read Data into R.mp4 33.5 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/11. Prediction model evaluation with data split out-of-sample RMSE.mp4 32.7 MB

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【压缩文件】 [ FreeCourseWeb.com ] Machine Learning with Regression in Python - With Ordinary Least Squares, Ridge, Decision Trees and Neural Networks.zip

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - 2021 Machine Learning Regression Models.zip

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【影视】 Regression.2015.BRRip.XviD.MP3-XVID

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Using Excel for Linear Regression.zip

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