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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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【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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【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】 [ FreeCourseWeb.com ] Oreilly - Machine Learning Series- Logistic Regression.rar

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[ FreeCourseWeb.com ] Oreilly - Machine Learning Series- Logistic Regression.rar 177.0 MB

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

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

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~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】 [FreeCourseSite.com] Udemy - Linear Regression and Logistic Regression in Python

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

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~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】 LinkedIn Learning - Logistic Regression in R and Excel [CoursesGhar]

收录时间:2023-12-20 文档个数:49 文档大小:231.5 MB 最近下载:2025-05-15 人气:277 磁力链接

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

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~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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【其他】 Truck and Forklift Logistic Simulator [01004E601E206000].nsp

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Truck and Forklift Logistic Simulator [01004E601E206000].nsp 431.7 MB

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【压缩文件】 Deep Learning Prerequisites Logistic Regression in Python

收录时间:2024-03-26 文档个数:4 文档大小:774.8 MB 最近下载:2025-05-15 人气:564 磁力链接

Deep Learning Prerequisites Logistic Regression in Python.zip 774.8 MB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
TutsGalaxy.com.txt 52 Bytes

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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】 Linkedin Learning Machine Learning With Python-Logistic Regression

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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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