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【影视】 [ DevCourseWeb.com ] Udemy - The Complete Linear and Logistic Regression Course in Python

收录时间:2023-02-06 文档个数:51 文档大小:2.5 GB 最近下载:2024-10-06 人气:4898 磁力链接

~Get Your Files Here !/4. Advanced Linear and Logistic Regression with TensorFlow and TensorBoard/9. Breast Cancer project Implementation with Logistic Regression.mp4 147.3 MB
~Get Your Files Here !/4. Advanced Linear and Logistic Regression with TensorFlow and TensorBoard/1. Housing data Implementation part 1.mp4 137.9 MB
~Get Your Files Here !/5. Logistic Implementation with Diabetes Project/1. Introduction and Implementation.mp4 129.2 MB
~Get Your Files Here !/4. Advanced Linear and Logistic Regression with TensorFlow and TensorBoard/6. Housing data implementation Part 6.mp4 128.0 MB
~Get Your Files Here !/4. Advanced Linear and Logistic Regression with TensorFlow and TensorBoard/2. Housing data Implementation Part 2.mp4 127.4 MB
~Get Your Files Here !/2. Linear Regression Theory and Practice/4. Simple linear regression using TensorFlow Keras.mp4 116.0 MB
~Get Your Files Here !/4. Advanced Linear and Logistic Regression with TensorFlow and TensorBoard/7. Housing data implementation Part 7.mp4 113.2 MB
~Get Your Files Here !/4. Advanced Linear and Logistic Regression with TensorFlow and TensorBoard/5. Housing data implementation Part 5.mp4 112.5 MB
~Get Your Files Here !/4. Advanced Linear and Logistic Regression with TensorFlow and TensorBoard/3. Housing data implementation Part 3.mp4 107.5 MB
~Get Your Files Here !/4. Advanced Linear and Logistic Regression with TensorFlow and TensorBoard/4. Housing data implementation Part 4.mp4 107.1 MB
~Get Your Files Here !/2. Linear Regression Theory and Practice/5. Multiple and multivariate linear regression Implementation Part 1.mp4 95.3 MB
~Get Your Files Here !/3. Logistic Regression Theory and Practice/4. Logistic Regression implementation Part 2.mp4 87.2 MB
~Get Your Files Here !/4. Advanced Linear and Logistic Regression with TensorFlow and TensorBoard/9.1 Advanced_Linear_and_Logistic_Regression_implementation (10).ipynb 84.9 MB
~Get Your Files Here !/2. Linear Regression Theory and Practice/2. Linear Regression Implementation.mp4 82.0 MB
~Get Your Files Here !/3. Logistic Regression Theory and Practice/3. Logistic Regression implementation Part 1.mp4 79.1 MB
~Get Your Files Here !/2. Linear Regression Theory and Practice/3. Introduction to multiple and multivariate linear regression.mp4 79.0 MB
~Get Your Files Here !/4. Advanced Linear and Logistic Regression with TensorFlow and TensorBoard/8.1 Advanced_Linear_and_Logistic_Regression_implementation (9).ipynb 74.4 MB
~Get Your Files Here !/2. Linear Regression Theory and Practice/6. Multiple and multivariate linear regression Implementation Part 2.mp4 72.1 MB
~Get Your Files Here !/3. Logistic Regression Theory and Practice/5. Logistic Regression Implementation Final part.mp4 70.6 MB
~Get Your Files Here !/4. Advanced Linear and Logistic Regression with TensorFlow and TensorBoard/8. Housing data implementation Final Part.mp4 69.5 MB

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【影视】 Utajený šéf - Lorenc Logistic.mkv

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Utajený šéf - Lorenc Logistic.mkv 773.3 MB

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【影视】 [ CourseMega.com ] Linkedin - Machine Learning with Logistic Regression in Excel, R, and Power BI

收录时间:2021-11-22 文档个数:155 文档大小:1.6 GB 最近下载:2024-10-09 人气:4012 磁力链接

~Get Your Files Here !/4 Fine-Tuning the Model/26 Configuring confusion tables.mp4 115.9 MB
~Get Your Files Here !/3 Binomial Logistic Regression/16 Constructing MLE.mp4 95.6 MB
~Get Your Files Here !/3 Binomial Logistic Regression/17 Solving MLE.mp4 71.6 MB
~Get Your Files Here !/6 Working in Power BI with R/35 Running R standard visuals.mp4 70.2 MB
~Get Your Files Here !/5 Multinomial Regression/33 Making the predictions.mp4 68.4 MB
~Get Your Files Here !/6 Working in Power BI with R/34 Running R scripts in the Power Query Editor.mp4 65.9 MB
~Get Your Files Here !/4 Fine-Tuning the Model/22 Adding more independent variables.mp4 60.8 MB
~Get Your Files Here !/4 Fine-Tuning the Model/24 Calculating correlations.mp4 60.5 MB
~Get Your Files Here !/5 Multinomial Regression/29 Calculating odds for multinomial models.mp4 59.8 MB
~Get Your Files Here !/6 Working in Power BI with R/38 Solution Moving into Power BI.mp4 59.3 MB
~Get Your Files Here !/2 Distributions and Probabilities/11 Sigmoid curve.mp4 54.4 MB
~Get Your Files Here !/1 Introduction/05 Working with R.mp4 53.0 MB
~Get Your Files Here !/3 Binomial Logistic Regression/19 Visualizing logistic regression.mp4 52.6 MB
~Get Your Files Here !/3 Binomial Logistic Regression/15 Calculating log likelihood.mp4 46.9 MB
~Get Your Files Here !/2 Distributions and Probabilities/10 Calculating logs and exponents.mp4 45.6 MB
~Get Your Files Here !/3 Binomial Logistic Regression/14 Working with the logit model.mp4 42.9 MB
~Get Your Files Here !/5 Multinomial Regression/32 Running MLE.mp4 41.8 MB
~Get Your Files Here !/4 Fine-Tuning the Model/25 Using statistics.mp4 39.9 MB
~Get Your Files Here !/4 Fine-Tuning the Model/23 Transforming variables.mp4 35.7 MB
~Get Your Files Here !/3 Binomial Logistic Regression/18 Predicting outcomes.mp4 35.5 MB

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【影视】 [ FreeCourseWeb.com ] Udemy - Credit Default Prediction using Logistic Regression

收录时间:2021-07-21 文档个数:40 文档大小:1.1 GB 最近下载:2024-09-29 人气:3342 磁力链接

~Get Your Files Here !/05 Decision Tree/004 Decision Tree Code Explanation.mp4 94.4 MB
~Get Your Files Here !/05 Decision Tree/001 Decision Tree Theory and Steps.mp4 94.4 MB
~Get Your Files Here !/03 Data Preprocessing EDA/005 Exploratory Data Analysis.mp4 79.0 MB
~Get Your Files Here !/05 Decision Tree/005 Random Forest Code.mp4 78.6 MB
~Get Your Files Here !/03 Data Preprocessing EDA/001 Data Preprocessing EDA Part 1.mp4 72.9 MB
~Get Your Files Here !/04 Hyper Parameter Tuning/003 More on Hyperparameter Tuning.mp4 72.5 MB
~Get Your Files Here !/03 Data Preprocessing EDA/008 Confusion Matrix and ROC.mp4 65.3 MB
~Get Your Files Here !/04 Hyper Parameter Tuning/002 Hyper Parameter Tuning Continue.mp4 63.3 MB
~Get Your Files Here !/03 Data Preprocessing EDA/002 Data Preprocessing EDA Part 2.mp4 57.1 MB
~Get Your Files Here !/03 Data Preprocessing EDA/003 Data Preprocessing EDA Part 3.mp4 51.7 MB
~Get Your Files Here !/03 Data Preprocessing EDA/004 Data Preprocessing EDA Part 4.mp4 46.7 MB
~Get Your Files Here !/05 Decision Tree/003 Installation of Graphviz and Pydotplus.mp4 45.2 MB
~Get Your Files Here !/01 Introduction/001 Introduction of Project.mp4 41.5 MB
~Get Your Files Here !/03 Data Preprocessing EDA/007 Confusion Matrix.mp4 40.4 MB
~Get Your Files Here !/04 Hyper Parameter Tuning/001 Hyper Parameter Tuning.mp4 37.6 MB
~Get Your Files Here !/02 Project Steps and Files/001 Project Steps.mp4 35.6 MB
~Get Your Files Here !/05 Decision Tree/002 Decision Tree Theory and Steps Continue.mp4 32.5 MB
~Get Your Files Here !/02 Project Steps and Files/002 Import Files.mp4 26.3 MB
~Get Your Files Here !/03 Data Preprocessing EDA/006 Splitting Data.mp4 26.1 MB
~Get Your Files Here !/05 Decision Tree/001 Decision Tree Theory and Steps.en.srt 15.1 kB

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

收录时间:2021-11-28 文档个数:122 文档大小:1.2 GB 最近下载:2024-09-30 人气:3261 磁力链接

8/1. Anaconda Environment Setup.mp4 195.3 MB
9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
1. Start Here/3. Statistics vs. Machine Learning.mp4 58.4 MB
8/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
1. Start Here/2. How to Succeed in this Course.mp4 45.9 MB
1. Start Here/1. Introduction and Outline.mp4 41.3 MB
10/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
11. Appendix FAQ Finale/2. BONUS.srt 39.7 MB
11. Appendix FAQ Finale/2. BONUS.mp4 39.7 MB
10/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
10/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 30.7 MB
2/5. Interpretation of Logistic Regression Output.mp4 29.3 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
9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/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
3. Solving for the optimal weights/10. E-Commerce Course Project Training the Logistic Model.mp4 17.9 MB

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

收录时间:2021-06-20 文档个数:119 文档大小:1.3 GB 最近下载:2024-10-08 人气:2785 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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【影视】 [FreeCourseSite.com] Udemy - Linear Regression and Logistic Regression in Python

收录时间:2021-11-26 文档个数:140 文档大小:2.7 GB 最近下载:2024-10-04 人气:2597 磁力链接

4. Data Preprocessing before building Linear Regression Model/12. Bi-variate analysis and Variable transformation.mp4 105.3 MB
5. Building the Linear Regression Model/3. Assessing accuracy of predicted coefficients.mp4 96.6 MB
6. Logistic Regression Data Preprocessing/1. The Dataset and the Data Dictionary.mp4 83.0 MB
6. Logistic Regression Data Preprocessing/3. EDD in Python.mp4 81.3 MB
4. Data Preprocessing before building Linear Regression Model/17. Correlation Analysis.mp4 75.1 MB
4. Data Preprocessing before building Linear Regression Model/8. Outlier Treatment in Python.mp4 73.7 MB
5. Building the Linear Regression Model/9. Multiple Linear Regression in Python.mp4 73.1 MB
4. Data Preprocessing before building Linear Regression Model/3. The Dataset and the Data Dictionary.mp4 72.7 MB
3. Basics of Statistics/3. Describing data Graphically.mp4 68.5 MB
2. Setting up Python and Python Crash Course/3. Opening Jupyter Notebook.mp4 68.4 MB
2. Setting up Python and Python Crash Course/6. Strings in Python Python Basics.mp4 67.6 MB
5. Building the Linear Regression Model/5. Simple Linear Regression in Python.mp4 66.5 MB
4. Data Preprocessing before building Linear Regression Model/6. EDD in Python.mp4 64.8 MB
2. Setting up Python and Python Crash Course/7. Lists, Tuples and Directories Python Basics.mp4 63.3 MB
5. Building the Linear Regression Model/7. The F - statistic.mp4 58.8 MB
4. Data Preprocessing before building Linear Regression Model/18. Correlation Analysis in Python.mp4 58.0 MB
7. Building a Logistic Regression Model/8. Creating Confusion Matrix in Python.mp4 53.8 MB
7. Building a Logistic Regression Model/3. Training a Simple Logistic Model in Python.mp4 50.2 MB
6. Logistic Regression Data Preprocessing/4. Outlier Treatment in Python.mp4 49.6 MB
2. Setting up Python and Python Crash Course/9. Working with Pandas Library of Python.mp4 49.2 MB

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

收录时间:2020-10-06 文档个数:114 文档大小:1.2 GB 最近下载:2024-09-29 人气:2003 磁力链接

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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【影视】 VideoHive - Logistic Company Box Opener - 21975877

收录时间:2020-06-26 文档个数:10 文档大小:551.2 MB 最近下载:2024-10-05 人气:1462 磁力链接

(Footage)/PRE_RENDER/Pre_Render.mov 513.7 MB
(Footage)/PRE_RENDER/Light Ray.mov 16.8 MB
Logistic Company Box Opener 21975877.mp4 4.8 MB
(Footage)/PRE_RENDER/Alpha_Mask3.mov 3.9 MB
(Footage)/PRE_RENDER/Alpha_Mask2.mov 3.7 MB
(Footage)/PRE_RENDER/Alpha_Mask1.mov 3.5 MB
(Footage)/PRE_RENDER/Alpha_Mask4.mov 3.3 MB
Logistic Company Box Opener.aep 1.4 MB
Logistic Company Box Opener_Preview_Image.jpg 30.1 kB
Help.txt 469 Bytes

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

收录时间:2021-08-04 文档个数:118 文档大小:1.3 GB 最近下载:2024-09-24 人气:1385 磁力链接

7. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
2/3. 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
2/5. Interpretation of Logistic Regression Output.mp4 29.2 MB
3/7. 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
3/10. E-Commerce Course Project Training the Logistic Model.mp4 17.9 MB

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【影视】 Tom.and.Jerry.Tales.1-8.2006-2008.DVDRip.RoDUBBED-LoGistic

收录时间:2020-03-23 文档个数:72 文档大小:4.6 GB 最近下载:2024-10-01 人气:1244 磁力链接

Poveşti cu Tom şi Jerry (Vol.5)/5_05. Angajăm salvamar!.avi 73.1 MB
Poveşti cu Tom şi Jerry (Vol.8)/8_09. Maimuţa buclucaşă.avi 72.0 MB
Poveşti cu Tom şi Jerry (Vol.8)/8_08. Aventuri în Australia.avi 70.8 MB
Poveşti cu Tom şi Jerry (Vol.3)/3_02. Duhul din lampă.avi 67.5 MB
Poveşti cu Tom şi Jerry (Vol.6)/6_05. Pisicuţei îi place blues-ul.avi 67.3 MB
Poveşti cu Tom şi Jerry (Vol.6)/6_03. Pisica de 24 de karate.avi 67.1 MB
Poveşti cu Tom şi Jerry (Vol.3)/3_06. Mediul de pisici.avi 66.9 MB
Poveşti cu Tom şi Jerry (Vol.3)/3_03. Cele două vrăjitoare.avi 66.9 MB
Poveşti cu Tom şi Jerry (Vol.8)/8_06. Bataie cu zăpada.avi 66.8 MB
Poveşti cu Tom şi Jerry (Vol.6)/6_08. Babysitter.avi 65.8 MB
Poveşti cu Tom şi Jerry (Vol.8)/8_02. Liga pisicilor.avi 65.6 MB
Poveşti cu Tom şi Jerry (Vol.8)/8_03. Căldura mare.avi 65.6 MB
Poveşti cu Tom şi Jerry (Vol.5)/5_03. Pădurea vrăjită.avi 65.3 MB
Poveşti cu Tom şi Jerry (Vol.5)/5_06. Picior-mare.avi 65.3 MB
Poveşti cu Tom şi Jerry (Vol.3)/3_05. Concursul.avi 64.8 MB
Poveşti cu Tom şi Jerry (Vol.3)/3_04. Interzis cu animale in şcoală.avi 64.8 MB
Poveşti cu Tom şi Jerry (Vol.3)/3_07. Pinguinul cel flamând.avi 64.7 MB
Poveşti cu Tom şi Jerry (Vol.4)/4_5. Castelul medieval.avi 64.5 MB
Poveşti cu Tom şi Jerry (Vol.1)/1_03. Aurora boreală.avi 64.4 MB
Poveşti cu Tom şi Jerry (Vol.4)/4_08. Şoricelul fantomă.avi 64.4 MB

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【影视】 [FreeTutorials.Us] data-science-logistic-regression-in-python

收录时间:2020-03-21 文档个数:41 文档大小:445.1 MB 最近下载:2024-10-08 人气:1167 磁力链接

07 Appendix/036 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
04 Practical concerns/026 The donut problem.mp4 25.9 MB
07 Appendix/037 How to Code by Yourself part 1.mp4 25.7 MB
06 Project Facial Expression Recognition/034 Facial Expression Recognition in Code.mp4 25.2 MB
06 Project Facial Expression Recognition/031 Facial Expression Recognition Problem Description.mp4 22.5 MB
03 Solving for the optimal weights/019 E-Commerce Course Project Training the Logistic Model.mp4 17.9 MB
07 Appendix/038 How to Code by Yourself part 2.mp4 15.5 MB
01 Start Here/004 Introduction to the E-Commerce Course Project.mp4 15.5 MB
04 Practical concerns/021 L2 Regularization - Theory.mp4 15.4 MB
04 Practical concerns/027 The XOR problem.mp4 14.9 MB
06 Project Facial Expression Recognition/033 Utilities walkthrough.mp4 14.1 MB
03 Solving for the optimal weights/016 Maximizing the likelihood.mp4 13.3 MB
04 Practical concerns/024 L1 Regularization - Code.mp4 12.6 MB
05 Checkpoint and applications How to make sure you know your stuff/028 BONUS Sentiment Analysis.mp4 12.0 MB
02 Basics What is linear classification Whats the relation to neural networks/009 E-Commerce Course Project Pre-Processing the Data.mp4 11.7 MB
06 Project Facial Expression Recognition/032 The class imbalance problem.mp4 10.6 MB
03 Solving for the optimal weights/011 A closed-form solution to the Bayes classifier.mp4 10.5 MB
03 Solving for the optimal weights/017 Updating the weights using gradient descent - Theory.mp4 9.8 MB
03 Solving for the optimal weights/014 The cross-entropy error function - Code.mp4 9.5 MB
01 Start Here/002 How to Succeed in this Course.mp4 9.2 MB

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【影视】 [UDEMY] Logistic Regression (Credit Scoring) Modeling using SAS [FIRSTTHINKER]

收录时间:2020-01-28 文档个数:86 文档大小:1.2 GB 最近下载:2024-06-14 人气:798 磁力链接

05 Variable Selection - Select important numeric and character variables/037 Model Workout - 01 Data Treatment.mp4 98.0 MB
06 Multi Collinearity Treatment/052 Model Data workout - 03 Multi Collinearity Treatment Scientifically.mp4 62.6 MB
04 Data Audit - Make sure to check that data is right for the modelling/029 Feel the data - Understand and interpret normal probability plot.mp4 46.3 MB
08 Strength of a Model and Model Validation Methods/071 Model Data Workout - part 08 Generate KS Statistics for the model.mp4 44.5 MB
02 Introduction to Credit Scoring Credit Score card development/008 Benefit of scoring modelling.mp4 37.9 MB
05 Variable Selection - Select important numeric and character variables/042 Theory and Example of Step wise selection of Numeric Variable.mp4 37.8 MB
08 Strength of a Model and Model Validation Methods/069 Understand Score and Generate Score in the data set.mp4 33.0 MB
07 Iterate for final model Understand strength of the model/063 Concordance, Somers D, Gamma, Tau etc..mp4 32.7 MB
06 Multi Collinearity Treatment/049 Multi Collinearity Treatment - part 01.mp4 31.4 MB
06 Multi Collinearity Treatment/051 Model Data workout - 02 Bi Variate strength of variables.mp4 29.7 MB
05 Variable Selection - Select important numeric and character variables/034 Understand Chi-Square statistics for selecting Important Categorical Variables.mp4 28.7 MB
07 Iterate for final model Understand strength of the model/066 Model Data Workout - part 05 Select best 8 variables.mp4 28.6 MB
05 Variable Selection - Select important numeric and character variables/039 SAS Macro to check directional sense of numeric variable.mp4 27.3 MB
04 Data Audit - Make sure to check that data is right for the modelling/023 Feel the data - know its distribution.mp4 26.5 MB
08 Strength of a Model and Model Validation Methods/068 Model Data Workout - part 06 Coefficient Stability Check.mp4 23.8 MB
04 Data Audit - Make sure to check that data is right for the modelling/026 Feel the data - know the percentile.mp4 23.3 MB
07 Iterate for final model Understand strength of the model/062 Maximum Likelihood Estimate.mp4 21.4 MB
07 Iterate for final model Understand strength of the model/058 Log Likelihood.mp4 20.4 MB
03 Data Design for Modelling/013 Model Design Example.mp4 20.0 MB
07 Iterate for final model Understand strength of the model/061 Model Fit Statistics - Revisit.mp4 19.0 MB

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[5] 4. Running a Binomial Logistic Regression in R/[3] The mlogit function syntax.mp4 25.6 MB
[6] 5. Running a Multinomial Logistic Regression in R/[3] The special mlogit syntax.mp4 21.6 MB
[4] 3. Running a Logistic Regression in Excel/[3] Establish the log likelihood and run Solver.mp4 19.3 MB
[6] 5. Running a Multinomial Logistic Regression in R/[2] Identify long versus wide data frames.mp4 17.2 MB
[4] 3. Running a Logistic Regression in Excel/[4] Interpret -2LL or deviance.mp4 14.3 MB
[2] 1. Ordinary Regression and Nominal Outcome Variables/[1] The normality assumption.mp4 13.4 MB
[5] 4. Running a Binomial Logistic Regression in R/[1] Install the mlogit package.mp4 13.4 MB
[3] 2. Solutions to Problems with Ordinary Regression/[5] Predict the log of the odds, the logit.mp4 12.9 MB
[2] 1. Ordinary Regression and Nominal Outcome Variables/[2] Recognize abnormal distribution.mp4 12.5 MB
[2] 1. Ordinary Regression and Nominal Outcome Variables/[3] Forecast Too high or too low.mp4 11.1 MB
[1] Introduction/[1] Welcome.mp4 10.5 MB
[5] 4. Running a Binomial Logistic Regression in R/[2] Establish the data frame with XLGetRange.mp4 10.4 MB
[5] 4. Running a Binomial Logistic Regression in R/[4] Use of glm instead of mlogit.mp4 8.6 MB
[3] 2. Solutions to Problems with Ordinary Regression/[3] Logs exponents, bases, sum of logs, and the log of products.mp4 8.5 MB
[3] 2. Solutions to Problems with Ordinary Regression/[4] Use of log odds to limit the probabilities on the downside.mp4 8.4 MB
[2] 1. Ordinary Regression and Nominal Outcome Variables/[4] Manage different slopes.mp4 8.2 MB
[3] 2. Solutions to Problems with Ordinary Regression/[1] Use of odds instead of probabilities.mp4 6.6 MB
[3] 2. Solutions to Problems with Ordinary Regression/[2] Use of odds to limit the probabilities on the upside.mp4 3.4 MB
[1] Introduction/[3] Exercise files.mp4 2.4 MB
[7] Conclusion/[1] Next steps [CoursesGhar.Com].mp4 1.9 MB

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07 Appendix/036 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
04 Practical concerns/026 The donut problem.mp4 25.9 MB
07 Appendix/037 How to Code by Yourself part 1.mp4 25.7 MB
06 Project Facial Expression Recognition/034 Facial Expression Recognition in Code.mp4 25.2 MB
06 Project Facial Expression Recognition/031 Facial Expression Recognition Problem Description.mp4 22.5 MB
03 Solving for the optimal weights/019 E-Commerce Course Project Training the Logistic Model.mp4 17.9 MB
07 Appendix/038 How to Code by Yourself part 2.mp4 15.5 MB
01 Start Here/004 Introduction to the E-Commerce Course Project.mp4 15.5 MB
04 Practical concerns/021 L2 Regularization - Theory.mp4 15.4 MB
04 Practical concerns/027 The XOR problem.mp4 14.9 MB
06 Project Facial Expression Recognition/033 Utilities walkthrough.mp4 14.1 MB
03 Solving for the optimal weights/016 Maximizing the likelihood.mp4 13.3 MB
04 Practical concerns/024 L1 Regularization - Code.mp4 12.6 MB
05 Checkpoint and applications How to make sure you know your stuff/028 BONUS Sentiment Analysis.mp4 12.0 MB
02 Basics What is linear classification Whats the relation to neural networks/009 E-Commerce Course Project Pre-Processing the Data.mp4 11.7 MB
06 Project Facial Expression Recognition/032 The class imbalance problem.mp4 10.6 MB
03 Solving for the optimal weights/011 A closed-form solution to the Bayes classifier.mp4 10.5 MB
03 Solving for the optimal weights/017 Updating the weights using gradient descent - Theory.mp4 9.8 MB
03 Solving for the optimal weights/014 The cross-entropy error function - Code.mp4 9.5 MB
01 Start Here/002 How to Succeed in this Course.mp4 9.2 MB

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4. Classifying Data with Logistic Regression/1. How to explore data for logistic regression in Python.mp4 39.8 MB
4. Classifying Data with Logistic Regression/4. How to interpret a logistic regression model in Python.mp4 29.9 MB
1. Introduction/4. Using GitHub Codespaces with this course.mp4 22.8 MB
4. Classifying Data with Logistic Regression/2. How to prepare data for logistic regression in Python.mp4 22.0 MB
4. Classifying Data with Logistic Regression/3. How to build a logistic regression model in Python.mp4 18.7 MB
2. Regression/3. Common types of regression.mp4 14.9 MB
3. Logistic Regression/3. Interpreting the coefficients of logistic regression.mp4 14.8 MB
3. Logistic Regression/2. Making predictions with logistic regression.mp4 14.1 MB
3. Logistic Regression/1. What is logistic regression.mp4 11.6 MB
2. Regression/1. What is regression.mp4 9.8 MB
2. Regression/2. The anatomy of a regression model.mp4 9.8 MB
1. Introduction/3. Using the exercise files.mp4 5.2 MB
3. Logistic Regression/4. Why and when to use logistic regression.mp4 4.8 MB
5. Conclusion/1. Next steps.mp4 4.4 MB
1. Introduction/1. Classifying data with logistic regression.mp4 4.4 MB
1. Introduction/2. What you should know.mp4 2.9 MB
4. Classifying Data with Logistic Regression/1. How to explore data for logistic regression in Python.srt 17.5 kB
4. Classifying Data with Logistic Regression/4. How to interpret a logistic regression model in Python.srt 11.8 kB
3. Logistic Regression/3. Interpreting the coefficients of logistic regression.srt 10.0 kB
1. Introduction/4. Using GitHub Codespaces with this course.srt 9.1 kB

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Logistic-import 4.0 GB

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