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【影视】 [ CoursePig.com ] Linkedin - Learning AWS Single Sign On

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【影视】 [DesireCourse.Net] Udemy - Python required for Data Science and Machine Learning 2020

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6. Python Basics V/2. Topic 2.mp4 83.6 MB
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【影视】 [ TutGee.com ] LinkedIn - Learning C

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【影视】 [ DevCourseWeb.com ] Udemy - No-Code Machine Learning with Qlik AutoML

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~Get Your Files Here !/01 - Introduction to Machine Learning & Automated Machine Learning (AutoML)/001 Machine Learning Introduction.mp4 133.1 MB
~Get Your Files Here !/01 - Introduction to Machine Learning & Automated Machine Learning (AutoML)/004 How AutoML Works.mp4 79.7 MB
~Get Your Files Here !/02 - Qlik AutoML Introduction & Features/002 Features of Qlik AutoML.mp4 78.8 MB
~Get Your Files Here !/05 - First Qlik AutoML Project - Breast Cancer Diagnostic Prediction Analysis/006 Comparing Predicted Values with Actual Values to check Accuracy.mp4 77.8 MB
~Get Your Files Here !/05 - First Qlik AutoML Project - Breast Cancer Diagnostic Prediction Analysis/002 Creating Project & Managing Data Pipeline.mp4 75.5 MB
~Get Your Files Here !/10 - Next Steps/001 How to Improve Model Score.mp4 64.3 MB
~Get Your Files Here !/05 - First Qlik AutoML Project - Breast Cancer Diagnostic Prediction Analysis/004 Understanding Qlik AutoML Cards in detail.mp4 64.2 MB
~Get Your Files Here !/03 - Important ML Terms to learn/003 SHAP Importance.mp4 57.1 MB
~Get Your Files Here !/06 - 2nd Qlik AutoML Project/001 Stock Value Prediction using Qlik AutoML.mp4 55.7 MB
~Get Your Files Here !/01 - Introduction to Machine Learning & Automated Machine Learning (AutoML)/003 Key Benefits of AutoML.mp4 55.6 MB
~Get Your Files Here !/10 - Next Steps/003 Congratulations on Course Completion.mp4 47.8 MB
~Get Your Files Here !/03 - Important ML Terms to learn/007 Confusion Matrix.mp4 47.0 MB
~Get Your Files Here !/03 - Important ML Terms to learn/009 Cross Validation & Automatic Holdout.mp4 46.5 MB
~Get Your Files Here !/03 - Important ML Terms to learn/004 Model Fitting.mp4 44.9 MB
~Get Your Files Here !/03 - Important ML Terms to learn/001 F-Score.mp4 43.3 MB
~Get Your Files Here !/10 - Next Steps/002 Resources to get Datasets to practice Machine Learning.mp4 41.9 MB
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【影视】 [FreeCourseSite.com] Udemy - Python for Data Science and Machine Learning Bootcamp

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26. Neural Nets and Deep Learning/8. Tensorflow Estimators.mp4 164.3 MB
26. Neural Nets and Deep Learning/10. Deep Learning Project - Solutions.mp4 99.2 MB
26. Neural Nets and Deep Learning/7. MNIST - Part Two.mp4 98.7 MB
27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/1. TensorFlow Installation.mp4 72.6 MB
25. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
25. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
26. Neural Nets and Deep Learning/6. MNIST - Part One.mp4 61.2 MB
25. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 58.4 MB
18. K Nearest Neighbors/4. KNN Project Solutions.mp4 55.2 MB
1. Course Introduction/3.1 Py_DS_ML_Bootcamp-master.zip.zip 55.1 MB
3. Jupyter Overview/2.1 Py-DS-ML-Bootcamp-master.zip.zip 55.1 MB
9. Python for Data Visualization - Seaborn/2. Distribution Plots.mp4 53.9 MB
11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.mp4 53.6 MB
13. Data Capstone Project/4. 911 Calls Solutions - Part 2.mp4 52.2 MB
24. Natural Language Processing/6. NLP Project Solutions.mp4 50.4 MB
20. Support Vector Machines/2. Support Vector Machines with Python.mp4 49.8 MB
13. Data Capstone Project/7. Finance Project - Solutions Part 1.mp4 49.6 MB
21. K Means Clustering/4. K Means Project Solutions.mp4 49.4 MB
12. Python for Data Visualization - Geographical Plotting/2. Choropleth Maps - Part 1 - USA.mp4 48.4 MB
18. K Nearest Neighbors/2. KNN with Python.mp4 48.2 MB

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【影视】 LinkedIn Learning - Audio Mixing Master Class [CoursesGhar]

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[9] Make your mixes hot and loud [CoursesGhar.Com].mp4 55.3 MB
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【影视】 [DesireCourse.Net] Udemy - LEARNING PATH Laravel Complete Guide to Laravel

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2. Intermediate Laravel Adding Popular Features to Our Apps/23. Managing the Thumbnail Filename.mp4 40.5 MB
3. Extending Laravel with First Party Packages/6. Building the FindOrCreateUser Method.mp4 35.0 MB
1. Laravel Foundations Basics to Every App/28. Create a User Profile.mp4 33.7 MB
2. Intermediate Laravel Adding Popular Features to Our Apps/22. Manipulating Images in Laravel.mp4 31.9 MB
2. Intermediate Laravel Adding Popular Features to Our Apps/30. Initializing Vue.js to Manipulate the DOM.mp4 30.6 MB
2. Intermediate Laravel Adding Popular Features to Our Apps/32. Using JavaScript Promises to Send Another API Request.mp4 28.6 MB
3. Extending Laravel with First Party Packages/5. Logging in Existing Users and Creating New Ones.mp4 28.0 MB
3. Extending Laravel with First Party Packages/7. Setup Facebook Sign-on.mp4 28.0 MB
3. Extending Laravel with First Party Packages/41. Listening to the Event and Preventing Duplication.mp4 27.4 MB
1. Laravel Foundations Basics to Every App/23. Setup Authentication Part 2.mp4 26.1 MB
3. Extending Laravel with First Party Packages/8. Setup Twitter Sign-on.mp4 25.9 MB
1. Laravel Foundations Basics to Every App/5. Building Our First Route.mp4 25.6 MB
1. Laravel Foundations Basics to Every App/13. Saving Questions to the Database Part 1.mp4 25.4 MB
3. Extending Laravel with First Party Packages/37. Getting All Comments.mp4 25.1 MB
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【影视】 [DesireCourse.Net] Udemy - Machine Learning with Javascript

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05 Getting Started with Gradient Descent/068 Why a Learning Rate.mp4 196.4 MB
06 Gradient Descent with Tensorflow/084 How it All Works Together.mp4 150.8 MB
02 Algorithm Overview/022 Investigating Optimal K Values.mp4 135.4 MB
05 Getting Started with Gradient Descent/062 Understanding Gradient Descent.mp4 132.9 MB
05 Getting Started with Gradient Descent/071 Multiple Terms in Action.mp4 129.1 MB
07 Increasing Performance with Vectorized Solutions/097 Moving Towards Multivariate Regression.mp4 127.3 MB
05 Getting Started with Gradient Descent/066 Gradient Descent in Action.mp4 121.0 MB
03 Onwards to Tensorflow JS/036 Tensor Shape and Dimension.mp4 119.8 MB
01 What is Machine Learning/003 A Complete Walkthrough.mp4 114.4 MB
11 Multi-Value Classification/134 A Single Instance Approach.mp4 108.6 MB
06 Gradient Descent with Tensorflow/079 Interpreting Results.mp4 106.7 MB
13 Performance Optimization/159 Measuring Memory Usage.mp4 101.3 MB
11 Multi-Value Classification/139 Marginal vs Conditional Probability.mp4 99.8 MB
05 Getting Started with Gradient Descent/063 Guessing Coefficients with MSE.mp4 98.0 MB
02 Algorithm Overview/010 How K-Nearest Neighbor Works.mp4 97.9 MB
04 Applications of Tensorflow/055 Normalization or Standardization.mp4 97.5 MB
06 Gradient Descent with Tensorflow/083 Simplification with Matrix Multiplication.mp4 95.2 MB
04 Applications of Tensorflow/052 Loading CSV Data.mp4 93.7 MB
12 Image Recognition In Action/151 Debugging the Calculation Process.mp4 93.4 MB
06 Gradient Descent with Tensorflow/076 Initial Gradient Descent Implementation.mp4 92.2 MB

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【影视】 [GigaCourse.Com] Udemy - Complete Machine Learning with R Studio - ML for 2021

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18 Ensemble technique 3 - GBM, AdaBoost and XGBoost/004 XGBoosting in R.mp4 195.5 MB
22 Creating Support Vector Machine Model in R/005 Classification SVM model using Linear Kernel.mp4 175.0 MB
07 Regression models other than OLS/005 Ridge regression and Lasso in R.mp4 130.0 MB
22 Creating Support Vector Machine Model in R/010 SVM based Regression Model in R.mp4 130.0 MB
04 Intorduction to Machine Learning/001 Introduction to Machine Learning.mp4 129.3 MB
14 Simple Decision Trees/008 Building a Regression Tree in R.mp4 127.8 MB
02 Setting up R Studio and R crash course/008 Creating Barplots in R.mp4 122.9 MB
05 Data Preprocessing for Regression Analysis/012 Bi-variate Analysis and Variable Transformation.mp4 118.6 MB
05 Data Preprocessing for Regression Analysis/006 EDD in R.mp4 117.4 MB
06 Linear Regression Model/003 Assessing Accuracy of predicted coefficients.mp4 108.9 MB
18 Ensemble technique 3 - GBM, AdaBoost and XGBoost/003 AdaBoosting in R.mp4 108.0 MB
15 Simple Classification Tree/003 Building a classification Tree in R.mp4 104.9 MB
22 Creating Support Vector Machine Model in R/007 Polynomial Kernel with Hyperparameter Tuning.mp4 103.4 MB
02 Setting up R Studio and R crash course/004 Packages in R.mp4 103.3 MB
14 Simple Decision Trees/010 Pruning a Tree in R.mp4 101.7 MB
05 Data Preprocessing for Regression Analysis/018 Correlation Matrix in R.mp4 99.5 MB
06 Linear Regression Model/013 Test-Train Split in R.mp4 95.3 MB
12 K-Nearest Neighbors/002 Test-Train Split in R.mp4 94.5 MB
11 Linear Discriminant Analysis/002 Linear Discriminant Analysis in R.mp4 93.8 MB
08 Classification Models_ Data Preparation/001 The Data and the Data Dictionary.mp4 91.7 MB

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