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- 【压缩文件】 [ DevCourseWeb.com ] Udemy - Machine Learning - Linear Regression using TensorFlow Python.zip
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[ DevCourseWeb.com ] Udemy - Machine Learning - Linear Regression using TensorFlow Python.zip 2.9 GB
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- 【影视】 [ FreeCourseWeb.com ] Udemy - Machine Learning for BI, PART 3 - Regression & Forecasting
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~Get Your Files Here !/03 Regression Modeling/008 CASE STUDY_ Non-Linear Regression.mp4 83.9 MB
~Get Your Files Here !/05 Time-Series Forecasting/014 CASE STUDY_ Intervention Analysis.mp4 80.4 MB
~Get Your Files Here !/05 Time-Series Forecasting/008 CASE STUDY_ Seasonality with Linear Trend.mp4 79.7 MB
~Get Your Files Here !/05 Time-Series Forecasting/006 CASE STUDY_ Seasonality with One-Hot Encoding.mp4 68.2 MB
~Get Your Files Here !/03 Regression Modeling/005 CASE STUDY_ Univariate Linear Regression.mp4 45.7 MB
~Get Your Files Here !/05 Time-Series Forecasting/010 CASE STUDY_ Smoothing.mp4 43.4 MB
~Get Your Files Here !/01 Getting Started/001 Course Structure & Outline.mp4 37.8 MB
~Get Your Files Here !/03 Regression Modeling/006 Multiple Linear Regression.mp4 36.6 MB
~Get Your Files Here !/05 Time-Series Forecasting/004 CASE STUDY_ Seasonality with ACF.mp4 33.1 MB
~Get Your Files Here !/05 Time-Series Forecasting/012 CASE STUDY_ Non-Linear Trend.mp4 32.6 MB
~Get Your Files Here !/04 Model Diagnostics/004 Mean Error Metrics (MSE, MAE, MAPE).mp4 29.5 MB
~Get Your Files Here !/03 Regression Modeling/003 Least Squared Error.mp4 27.4 MB
~Get Your Files Here !/04 Model Diagnostics/011 RECAP_ Sample Model Output.mp4 25.8 MB
~Get Your Files Here !/04 Model Diagnostics/003 R-Squared.mp4 24.2 MB
~Get Your Files Here !/04 Model Diagnostics/008 T-Values & P-Values.mp4 23.5 MB
~Get Your Files Here !/03 Regression Modeling/002 Linear Relationships.mp4 20.8 MB
~Get Your Files Here !/03 Regression Modeling/007 Non-Linear Regression.mp4 19.3 MB
~Get Your Files Here !/04 Model Diagnostics/010 Variance Inflation Factor.mp4 19.1 MB
~Get Your Files Here !/05 Time-Series Forecasting/013 Intervention Analysis.mp4 16.7 MB
~Get Your Files Here !/01 Getting Started/005 Setting Expectations.mp4 14.9 MB
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- 【影视】 Developing Classification and Regression Systems, Part 3
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收录时间:2022-01-26
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[TutsNode.com] - Developing Classification and Regression Systems, Part 3/11 - 2.3 Discriminant Analysis I.mp4 538.0 MB
[TutsNode.com] - Developing Classification and Regression Systems, Part 3/31 - 5.2 Tuning Hyperparameters.mp4 535.6 MB
[TutsNode.com] - Developing Classification and Regression Systems, Part 3/4 - 1.2 Decision Trees I.mp4 524.4 MB
[TutsNode.com] - Developing Classification and Regression Systems, Part 3/27 - 4.5 Interactions.mp4 522.9 MB
[TutsNode.com] - Developing Classification and Regression Systems, Part 3/12 - 2.4 Discriminant Analysis II.mp4 510.4 MB
[TutsNode.com] - Developing Classification and Regression Systems, Part 3/16 - 3.1 Penalized Regression I.mp4 499.5 MB
[TutsNode.com] - Developing Classification and Regression Systems, Part 3/5 - 1.3 Decision Trees II.mp4 469.3 MB
[TutsNode.com] - Developing Classification and Regression Systems, Part 3/28 - 4.6 Target Manipulations.mp4 446.8 MB
[TutsNode.com] - Developing Classification and Regression Systems, Part 3/3 - 1.1 Revisiting Classification.mp4 419.2 MB
[TutsNode.com] - Developing Classification and Regression Systems, Part 3/7 - 1.5 Support Vector Classifiers II.mp4 417.6 MB
[TutsNode.com] - Developing Classification and Regression Systems, Part 3/10 - 2.2 Logistic Regression II.mp4 389.5 MB
[TutsNode.com] - Developing Classification and Regression Systems, Part 3/32 - 5.3 Nested Cross-validation.mp4 359.1 MB
[TutsNode.com] - Developing Classification and Regression Systems, Part 3/24 - 4.2 Feature Scaling.mp4 315.5 MB
[TutsNode.com] - Developing Classification and Regression Systems, Part 3/26 - 4.4 Categorical Coding.mp4 292.2 MB
[TutsNode.com] - Developing Classification and Regression Systems, Part 3/9 - 2.1 Logistic Regression I.mp4 269.8 MB
[TutsNode.com] - Developing Classification and Regression Systems, Part 3/6 - 1.4 Support Vector Classifiers I.mp4 251.6 MB
[TutsNode.com] - Developing Classification and Regression Systems, Part 3/25 - 4.3 Discretization.mp4 242.9 MB
[TutsNode.com] - Developing Classification and Regression Systems, Part 3/19 - 3.4 Regression Trees.mp4 230.4 MB
[TutsNode.com] - Developing Classification and Regression Systems, Part 3/18 - 3.3 Piecewise Constant Regression.mp4 222.5 MB
[TutsNode.com] - Developing Classification and Regression Systems, Part 3/30 - 5.1 Models, Parameters, and Hyperparameters.mp4 200.6 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Machine Learning Regression Masterclass in Python
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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
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- 【影视】 Regression.2015.LIMITED.720p.10bit.BrRip.2CH.x265.HEVC-PSA
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收录时间:2022-01-24
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Regression.2015.LIMITED.720p.10bit.BrRip.2CH.x265.HEVC-PSA.mkv 491.5 MB
Regression.2015.LIMITED.720p.10bit.sample.mkv 9.3 MB
PSArips.com.txt 33 Bytes
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- 【影视】 [FreeCourseLab.me] Udemy - Machine Learning for Beginners Linear Regression model in R
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收录时间:2022-01-22
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7. Regression models other than OLS/6. 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/16. Test-Train Split in R.mp4 95.5 MB
7. Regression models other than OLS/2. 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
7. Regression models other than OLS/3. Subset selection in R.mp4 80.3 MB
6. Linear Regression Model/11. 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 71.1 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
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- 【影视】 [FTUForum.com] [UDEMY] Deep Learning Prerequisites Linear Regression in Python [FTU]
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收录时间:2022-01-21
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6. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix/11. What order should I take your courses in (part 2).mp4 85.6 MB
6. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 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
3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 37.8 MB
1. Welcome/1. Welcome.mp4 33.6 MB
6. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB
1. Welcome/2. Introduction and Outline.mp4 29.8 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
6. Appendix/12. Python 2 vs Python 3.mp4 17.7 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
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- 【影视】 Programming Foundations of Classification and Regression LiveLessons, Part 1
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收录时间:2022-01-21
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[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/10 - 2.3 Linear Combinations.mp4 487.0 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/30 - 5.4 Linear Regression, Part 1.mp4 473.8 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/25 - 4.4 Scripts.mp4 422.0 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/12 - 2.5 Geometry, Part 2.mp4 398.2 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/33 - 6.1 Optimization, Part 1.mp4 391.8 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/19 - 3.4 Train Test Splitting and Fitting k-NN.mp4 381.6 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/20 - 3.5 Naive Bayes.mp4 366.4 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/11 - 2.4 Geometry, Part 1.mp4 306.1 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/27 - 5.1 Setup and the Diabetes Dataset.mp4 306.0 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/04 - 1.2 Three Things You Can do with NumPy and matplotlib.mp4 296.9 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/05 - 1.3 Three Things You Can Do with Pandas.mp4 276.7 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/29 - 5.3 k-Nearest Neighbors for Regression.mp4 273.0 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/06 - 1.4 Three Things You Can Do with scikit-learn and Friends.mp4 254.4 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/36 - 6.4 Resource Evaluation.mp4 247.3 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/24 - 4.3 Resource Evaluation - Memory.mp4 240.6 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/16 - 3.1 Setup and the Iris Dataset.mp4 238.2 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/34 - 6.2 Optimization, Part 2.mp4 220.5 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/23 - 4.2 Resource Evaluation - Time.mp4 213.1 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/14 - 2.7 When Computers and Math Meet.mp4 207.6 MB
[TutsNode.com] - Programming Foundations of Classification and Regression LiveLessons, Part 1/09 - 2.2 Distributions.mp4 207.6 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] Udemy - Ask Your Former Self A Course On Past Life Regression.zip
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收录时间:2022-01-18
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[ FreeCourseWeb.com ] Udemy - Ask Your Former Self A Course On Past Life Regression.zip 597.2 MB
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- 【音乐】 Brian L Weiss - Spiritual Progress Through Regression
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收录时间:2022-01-15
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01 - Spiritual Progress Through Regression.flac 143.9 MB
02 - Enlightenment and Healing Through Meditation.flac 123.9 MB
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- 【影视】 [Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Linear Regression in Python
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收录时间:2022-01-15
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6. Setting Up Your Environment (FAQ by Student Request)/1. Anaconda Environment Setup.mp4 195.3 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/3. Statistics vs. Machine Learning.mp4 58.2 MB
6. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
1. Welcome/2. How to Succeed in this Course.mp4 46.0 MB
1. Welcome/1. Introduction and Outline.mp4 44.8 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.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/4. 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/11. Moore's Law Derivation.mp4 21.2 MB
2. 1-D Linear Regression Theory and Code/3. 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/10. 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
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- 【影视】 [GigaCourse.Com] Udemy - Machine Learning Regression Masterclass in Python
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收录时间:2022-01-12
文档个数:164
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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
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- 【影视】 Evaluating Classification and Regression Systems, Part 2
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收录时间:2022-01-12
文档个数:51
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最近下载:2025-05-14
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[TutsNode.com] - Evaluating Classification and Regression Systems, Part 2/2.3 Metrics from the Binary Confusion Matrix-1_46mxjpcf.mp4 594.4 MB
[TutsNode.com] - Evaluating Classification and Regression Systems, Part 2/4.3 Understanding the Default Regression Metric R^2-1_ur2v7gpn.mp4 482.7 MB
[TutsNode.com] - Evaluating Classification and Regression Systems, Part 2/1.2 Overfitting_Underfitting II -‚ÄØVarying Model Complexity-1_4jc84dfq.mp4 476.6 MB
[TutsNode.com] - Evaluating Classification and Regression Systems, Part 2/3.1 Multi-class Metric Averages-1_yuamn4h2.mp4 421.8 MB
[TutsNode.com] - Evaluating Classification and Regression Systems, Part 2/2.4 Understanding the ROC Curve and AUC-1_p7isvg1c.mp4 421.2 MB
[TutsNode.com] - Evaluating Classification and Regression Systems, Part 2/4.6 Case Study - A Regressor Comparison-1_ptued3au.mp4 411.3 MB
[TutsNode.com] - Evaluating Classification and Regression Systems, Part 2/1.8 Getting Graphical -‚ÄØLearning and Complexity Curves-1_064j1pbp.mp4 381.5 MB
[TutsNode.com] - Evaluating Classification and Regression Systems, Part 2/4.4 Errors and Residual Plots-1_6oyh6r9k.mp4 365.6 MB
[TutsNode.com] - Evaluating Classification and Regression Systems, Part 2/4.5 A Quick Pipeline and Standardization-1_owjtdyq9.mp4 330.6 MB
[TutsNode.com] - Evaluating Classification and Regression Systems, Part 2/3.5 Case Study - A Classifier Comparison-1_zp5u03mz.mp4 311.6 MB
[TutsNode.com] - Evaluating Classification and Regression Systems, Part 2/2.1 Baseline Classifiers and Classification Metrics-1_6zplg1w6.mp4 274.9 MB
[TutsNode.com] - Evaluating Classification and Regression Systems, Part 2/2.2 The Confusion Matrix-1_kosvwu6a.mp4 269.5 MB
[TutsNode.com] - Evaluating Classification and Regression Systems, Part 2/2.5 Comparing Classifiers with ROC and PR Curves-1_pf3lihbt.mp4 261.1 MB
[TutsNode.com] - Evaluating Classification and Regression Systems, Part 2/4.2 Regression Metrics - Custom Metrics and RMSE-1_y1esj7mf.mp4 248.5 MB
[TutsNode.com] - Evaluating Classification and Regression Systems, Part 2/1.7 Repeated Train-Test Splits-1_vcl9pphi.mp4 230.3 MB
[TutsNode.com] - Evaluating Classification and Regression Systems, Part 2/1.1 Overfitting_Underfitting I -‚ÄØSynthetic Data-1_yphjgmjr.mp4 215.6 MB
[TutsNode.com] - Evaluating Classification and Regression Systems, Part 2/3.2 Multi-class AUC - One-versus-Rest-1_ennowo9v.mp4 208.6 MB
[TutsNode.com] - Evaluating Classification and Regression Systems, Part 2/4.1 Baseline Regressors-1_d7296qus.mp4 203.4 MB
[TutsNode.com] - Evaluating Classification and Regression Systems, Part 2/1.6 Stratification-1_7661gb5m.mp4 194.3 MB
[TutsNode.com] - Evaluating Classification and Regression Systems, Part 2/3.3 Multi-class AUC - The Hand and Till Method-1_6a7v3mxv.mp4 188.3 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] Packt - Linear Regression Analysis in Python for Machine Learning.zip
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收录时间:2022-01-12
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[ FreeCourseWeb.com ] Packt - Linear Regression Analysis in Python for Machine Learning.zip 3.5 GB
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Regression (2015) 720p BDRip [Hindi Dub] Dual-Audio x264.mkv 865.8 MB
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~Get Your Files Here !/08 - Dealing with Missing Data in Regression/002 Dealing with Missing Data in Regression - Practical Examples.mp4 142.0 MB
~Get Your Files Here !/09 - Proportional and fractional data/002 Proportional regression models - practical examples.mp4 103.0 MB
~Get Your Files Here !/04 - Interaction Effects in Regression/002 How to Use and Interpret Interaction Effects - Practical Examples.mp4 101.0 MB
~Get Your Files Here !/05 - Using Time in Regression/002 Using Time in Regression - Practical Examples.mp4 99.7 MB
~Get Your Files Here !/07 - Dealing with Multicollinearity in Regression/002 Dealing with Multicollinearity in Regression - Practical Examples.mp4 96.2 MB
~Get Your Files Here !/03 - Non-Linear Functional Form in Regression/002 Non-Linear Shapes in Regression - Practical Examples.mp4 92.0 MB
~Get Your Files Here !/06 - Categorical Explanatory Variables in Regression/002 Categorical Explanatory Variables in Regression - Practical Examples.mp4 77.4 MB
~Get Your Files Here !/08 - Dealing with Missing Data in Regression/001 Dealing with Missing Data in Regression.mp4 73.4 MB
~Get Your Files Here !/02 - Regression Modelling - Don't Rush It/001 Regression Modelling - Don't Rush It.mp4 71.6 MB
~Get Your Files Here !/07 - Dealing with Multicollinearity in Regression/001 Dealing with Multicollinearity in Regression.mp4 67.3 MB
~Get Your Files Here !/05 - Using Time in Regression/001 Using Time in Regression.mp4 66.0 MB
~Get Your Files Here !/03 - Non-Linear Functional Form in Regression/001 Non-Linear Shapes in Regression.mp4 52.6 MB
~Get Your Files Here !/06 - Categorical Explanatory Variables in Regression/001 Categorical Explanatory Variables in Regression.mp4 44.1 MB
~Get Your Files Here !/04 - Interaction Effects in Regression/001 How to Use and Interpret Interaction Effects.mp4 42.3 MB
~Get Your Files Here !/01 - Introduction/001 Introduction.mp4 25.4 MB
~Get Your Files Here !/09 - Proportional and fractional data/001 Proportional regression models.mp4 10.7 MB
~Get Your Files Here !/07 - Dealing with Multicollinearity in Regression/001 Dealing with Multicollinearity in Regression_en.vtt 19.7 kB
~Get Your Files Here !/08 - Dealing with Missing Data in Regression/001 Dealing with Missing Data in Regression_en.vtt 19.6 kB
~Get Your Files Here !/02 - Regression Modelling - Don't Rush It/001 Regression Modelling - Don't Rush It_en.vtt 17.7 kB
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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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~Get Your Files Here !/03-regression_analysis__part_3.mkv 287.1 MB
~Get Your Files Here !/02-regression_analysis__part_2.mkv 250.3 MB
~Get Your Files Here !/01-regression_analysis__part_1.mkv 201.0 MB
~Get Your Files Here !/04-regression_analysis__part_4.mkv 180.3 MB
~Get Your Files Here !/Bonus Resources.txt 357 Bytes
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6. Linear Regression/22. 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/11. Multiple Linear Regression in Python.mp4 92.4 MB
6. Linear Regression/20. Subset selection techniques.mp4 91.4 MB
5. Data Preprocessing/10. Outlier Treatment in Python.mp4 90.8 MB
5. Data Preprocessing/23. Correlation Analysis.mp4 85.3 MB
2. 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.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
2. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4 77.3 MB
2. 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
3. Basics of Statistics/3. Describing data Graphically.mp4 68.6 MB
6. Linear Regression/8. The F - statistic.mp4 67.2 MB
6. Linear Regression/17. Test train split in Python.mp4 60.6 MB
2. Setting up Python and Jupyter Notebook/8. Working with Pandas Library of Python.mp4 59.2 MB
2. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.mp4 56.8 MB
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