regression -移花宫 -武林禁地，闲人禁止入内

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 76.6 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 71.1 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

[磁力链接] 添加时间:2021-05-08 大小:3.0 GB 最近下载:2024-12-10 热度:396

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

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

[磁力链接] 添加时间:2021-04-01 大小:1.2 GB 最近下载:2024-12-10 热度:357

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

~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

[磁力链接] 添加时间:2022-03-20 大小:1.6 GB 最近下载:2024-12-10 热度:2100

Regression.2015.720p.BRRip.x264.AAC-ETRG

Regression.2015.720p.BRRip.x264.AAC-ETRG.mp4 834.1 MB
English.srt 81.4 kB
Torrent Downloaded From ExtraTorrent.cc.txt 341 Bytes

[磁力链接] 添加时间:2017-02-14 大小:834.2 MB 最近下载:2024-12-10 热度:2886

[GigaCourse.Com] Udemy - Machine Learning Regression Masterclass in Python

04 - REGRESSION KEY PERFORMANCE INDICATORS/004 Bias Variance Tradeoff.mp4 199.4 MB
01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/005 ML vs. DL vs. AI.mp4 132.1 MB
03 - SIMPLE LINEAR REGRESSION/008 Project #1 - Test Model.mp4 120.5 MB
09 - LASSO AND RIDGE REGRESSION/005 Ridge and Lasso in Practice.mp4 115.1 MB
04 - REGRESSION KEY PERFORMANCE INDICATORS/002 Regression Metric Part 1.mp4 114.9 MB
06 - MULTIPLE LINEAR REGRESSION/005 Project #1 - Model Training and Evaluation.mp4 105.2 MB
08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/012 Evaluate the Model.mp4 104.5 MB
03 - SIMPLE LINEAR REGRESSION/002 Simple Linear Regression Intuition.mp4 102.6 MB
06 - MULTIPLE LINEAR REGRESSION/012 Project #2 - Retraining Model.mp4 102.2 MB
06 - MULTIPLE LINEAR REGRESSION/006 Project #1 - Model Results Evaluation.mp4 90.1 MB
03 - SIMPLE LINEAR REGRESSION/004 Project #1 - Overview.mp4 85.3 MB
08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/014 Model Improvement with more features.mp4 84.3 MB
08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/009 Project - Visualize Dataset.mp4 83.3 MB
07 - LOGISTIC REGRESSION/007 Project #2 - Training Testing.mp4 79.9 MB
08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/011 Train the Model.mp4 79.6 MB
06 - MULTIPLE LINEAR REGRESSION/009 Project #2 - Data Visualization.mp4 77.1 MB
07 - LOGISTIC REGRESSION/008 Model Testing Visualization.mp4 68.5 MB
08 - APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS/013 Multiple Linear regression.mp4 67.4 MB
05 - POLYNOMIAL REGRESSION/004 Poly Regression - Visualize Data.mp4 66.7 MB
01 - INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/001 Course Welcome Message.mp4 63.4 MB

[磁力链接] 添加时间:2022-01-12 大小:3.7 GB 最近下载:2024-12-10 热度:912

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

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