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【影视】 Infinite Skills - Learning Regular Expressions

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【影视】 [Tutorialsplanet.NET] Udemy - Artificial Intelligence Reinforcement Learning in Python

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10. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
4. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.mp4 108.8 MB
5. Markov Decision Proccesses/7. Bellman Examples.mp4 91.3 MB
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. High Level Overview of Reinforcement Learning and Course Outline/1. What is Reinforcement Learning.mp4 57.3 MB
3. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.mp4 54.4 MB
3. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4 53.7 MB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
2. High Level Overview of Reinforcement Learning and Course Outline/1. What is Reinforcement Learning.vtt 45.0 MB
2. High Level Overview of Reinforcement Learning and Course Outline/4. Defining Some Terms.mp4 44.4 MB
10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
10. Appendix/11. What order should I take your courses in (part 2).mp4 39.4 MB
2. High Level Overview of Reinforcement Learning and Course Outline/2. On Unusual or Unexpected Strategies of RL.mp4 38.9 MB
1. Welcome/1. Introduction.mp4 35.9 MB
2. High Level Overview of Reinforcement Learning and Course Outline/3. Course Outline.mp4 32.5 MB
10. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB
10. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
3. Return of the Multi-Armed Bandit/5. Designing Your Bandit Program.mp4 25.7 MB
6. Dynamic Programming/3. Designing Your RL Program.mp4 23.4 MB
4. Build an Intelligent Tic-Tac-Toe Agent/12. Tic Tac Toe Exercise.mp4 20.7 MB

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【影视】 Linkedin - Learning Managing Python

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06 - Development Process/08 - Solution Implement features.mp4 9.7 MB
02 - Why Management Is Important/01 - Working together as a team.mp4 8.3 MB
05 - Testing/05 - Skipping and marks.mp4 7.4 MB
05 - Testing/03 - Pytest overview.mp4 7.4 MB
06 - Development Process/05 - Code review.mp4 5.5 MB
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06 - Development Process/03 - Issue tracking.mp4 5.3 MB
04 - Dependency Management/02 - Package managers.mp4 5.2 MB
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04 - Dependency Management/01 - The problem.mp4 4.9 MB
04 - Dependency Management/03 - virtualenvs.mp4 4.4 MB
04 - Dependency Management/06 - Solution Create environment.mp4 3.8 MB
04 - Dependency Management/04 - Production vs. development.mp4 3.8 MB
05 - Testing/08 - Solution Test cases from file.mp4 3.7 MB
03 - Directory Structure/05 - Makefile.mp4 3.7 MB
05 - Testing/04 - Fixtures.mp4 3.4 MB
03 - Directory Structure/01 - Overview.mp4 3.2 MB
03 - Directory Structure/06 - setup.py.mp4 3.2 MB
05 - Testing/02 - How much to test.mp4 3.2 MB

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【影视】 [Udemy] Complete Machine Learning & Data Science Bootcamp 2021 (2021) [En]

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5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
16. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
9. Scikit-learn Creating Machine Learning Models/41. Tuning Hyperparameters.mp4 184.3 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4 174.7 MB
16. Career Advice + Extra Bits/3. What If I Don't Have Enough Experience.mp4 168.8 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Feature Engineering.mp4 166.9 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictions.mp4 162.5 MB
9. Scikit-learn Creating Machine Learning Models/48. Putting It All Together.mp4 157.9 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4 156.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/9. Turning Data Into Numbers.mp4 153.3 MB
5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
9. Scikit-learn Creating Machine Learning Models/16. Choosing The Right Model For Your Data.mp4 150.2 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/21. Feature Importance.mp4 149.2 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4 147.7 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4 146.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Preproccessing Our Data.mp4 146.1 MB
11. Milestone Project 1 Supervised Learning (Classification)/10. Finding Patterns 3.mp4 144.6 MB

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【影视】 Data Science using Machine Learning Algorithm with Big Data

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Data Science using Machine Learning Algorithm with Big Data/9. Scikit-learn Library for Machine Learning and Data Science/2. Case Study 2 with Scikit Learn Library.mp4 431.8 MB
Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/11. Plotly Library Tutorial.mp4 334.1 MB
Data Science using Machine Learning Algorithm with Big Data/9. Scikit-learn Library for Machine Learning and Data Science/1. Case Study 1 with Scikit Learn Library.mp4 291.6 MB
Data Science using Machine Learning Algorithm with Big Data/2. Python Programming Foundation/20. Python Crash Course.mp4 266.8 MB
Data Science using Machine Learning Algorithm with Big Data/3. Data Operations/2. Numpy Library Tutorial 1.mp4 228.7 MB
Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/3. Matplotlib Library Tutorial 1.mp4 214.1 MB
Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/2. Pandas Tutorial 1.mp4 198.7 MB
Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/5. Pandas Tutorial 4.mp4 160.0 MB
Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/3. Pandas Tutorial 2.mp4 149.5 MB
Data Science using Machine Learning Algorithm with Big Data/7. Machine Learning/2. What is Machine Learning.mp4 133.0 MB
Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/9. Seaborn Library Tutorial 2.mp4 119.3 MB
Data Science using Machine Learning Algorithm with Big Data/3. Data Operations/4. Numpy Library Tutorial 3.mp4 114.1 MB
Data Science using Machine Learning Algorithm with Big Data/8. Data Science/1. Collection of Data and Tools to Collect Data.mp4 113.3 MB
Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/4. Pandas Tutorial 3.mp4 96.2 MB
Data Science using Machine Learning Algorithm with Big Data/10. Case Study of Data Science using Machine Learning with Big Data/2. Logistic Regression.mp4 92.5 MB
Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/2. How to choose the RIGHT Charts & Graph for your Data.mp4 91.2 MB
Data Science using Machine Learning Algorithm with Big Data/10. Case Study of Data Science using Machine Learning with Big Data/5. KNN Algorithm.mp4 91.1 MB
Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/8. Seaborn Library Tutorial 1.mp4 86.1 MB
Data Science using Machine Learning Algorithm with Big Data/3. Data Operations/3. Numpy Library Tutorial 2.mp4 82.9 MB
Data Science using Machine Learning Algorithm with Big Data/8. Data Science/2. Mega Mart Example for Increase Sale.mp4 78.4 MB

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【影视】 [ TutGee.com ] Linkedin - Learning Kali Linux on Windows

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~Get Your Files Here !/03 - 2. Kali Linux on Windows/02 - Installing Kali Tools.mp4 28.5 MB
~Get Your Files Here !/03 - 2. Kali Linux on Windows/03 - Files in WSL 2.mp4 26.6 MB
~Get Your Files Here !/02 - 1. Windows Subsystem for Linux/02 - Kali Linux on a Windows system.mp4 21.0 MB
~Get Your Files Here !/03 - 2. Kali Linux on Windows/09 - Using Win-KeX to launch a desktop environment.mp4 14.5 MB
~Get Your Files Here !/03 - 2. Kali Linux on Windows/01 - Enabling WSL and installing Kali Linux.mp4 14.0 MB
~Get Your Files Here !/03 - 2. Kali Linux on Windows/07 - Kali tools Vulnerability scanning.mp4 12.0 MB
~Get Your Files Here !/03 - 2. Kali Linux on Windows/04 - Networking in WSL 2.mp4 11.5 MB
~Get Your Files Here !/03 - 2. Kali Linux on Windows/06 - Kali tools Password recovery with John the Ripper.mp4 7.7 MB
~Get Your Files Here !/03 - 2. Kali Linux on Windows/10 - Troubleshooting the Kali environment.mp4 7.4 MB
~Get Your Files Here !/03 - 2. Kali Linux on Windows/05 - Kali tools Host and port scanning with Nmap.mp4 7.2 MB
~Get Your Files Here !/01 - Introduction/01 - Kali Linux on Windows.mp4 5.2 MB
~Get Your Files Here !/01 - Introduction/02 - Lab setup.mp4 5.1 MB
~Get Your Files Here !/03 - 2. Kali Linux on Windows/08 - Using WSLg to launch GUI apps.mp4 4.9 MB
~Get Your Files Here !/02 - 1. Windows Subsystem for Linux/01 - Exploring Windows Subsystem for Linux.mp4 4.4 MB
~Get Your Files Here !/04 - Conclusion/01 - Next steps.mp4 3.7 MB
~Get Your Files Here !/03 - 2. Kali Linux on Windows/02 - Installing Kali Tools.srt 14.4 kB
~Get Your Files Here !/03 - 2. Kali Linux on Windows/01 - Enabling WSL and installing Kali Linux.srt 12.5 kB
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~Get Your Files Here !/03 - 2. Kali Linux on Windows/03 - Files in WSL 2.srt 9.5 kB
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【影视】 Paul McKenna - Accelerated Learning video

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【影视】 ITU Learning - HTML Essentials

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Module 1/02 - What is HTML.mp4 582.9 MB
Module 1/03 - HTML Resources.mp4 566.0 MB
Module 1/04 - Choosing a code editor.mp4 445.0 MB
Module 1/05 - The relationship of HTML- CSS and JavaScript.mp4 316.3 MB
Module 1/01 - Introduction.mp4 173.4 MB
Module 2/01 - The HTML document.mp4 625.4 MB
Module 2/05 - The Footer.mp4 551.0 MB
Module 2/04 - The Body.mp4 401.1 MB
Module 2/03 - The Head.mp4 212.8 MB
Module 2/02 - DOCTYPE declaration.mp4 194.4 MB
Module 3/03 - Emphasizing Text.mp4 584.3 MB
Module 3/02 - Creating Paragraphs.mp4 574.7 MB
Module 3/06 - Working with Tables.mp4 501.0 MB
Module 3/04 - Controlling Line Breaks and Whitespace.mp4 454.6 MB
Module 3/01 - Using Headings.mp4 415.1 MB
Module 3/05 - Creating Lists.mp4 286.5 MB
Module 4/04 - Structure Elements Part 2.mp4 452.0 MB
Module 4/03 - Structure Elements Part 1.mp4 313.4 MB
Module 4/02 - Controlling Document Outlines.mp4 213.4 MB
Module 4/01 - Why Structure Matters.mp4 202.0 MB

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【影视】 Learn Data Mining and Machine Learning With Python

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[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/24. Create Multiple Linear Regression Model in Python-Part 1.mp4 181.0 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/25. Create Multiple Linear Regression Model in Python-Part 2.mp4 148.1 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/26. Create Multiple Linear Regression Model in Python-Part 3.mp4 144.8 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/15. Create Simple Linear Regression Model in Python-Part 2.mp4 135.5 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/4. Unsupervised Learning Algorithms/5. Create Hierarchical Clustering Algorithm in Python-1.mp4 134.5 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/31. Create Polynomial Regression Model in Python-Part 2.mp4 130.5 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/38. Create Logistic Regression Model in Python-Part 1.mp4 117.4 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/27. Create Multiple Linear Regression Model in Python-Part 4.mp4 86.3 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/30. Create Polynomial Regression Model in Python-Part 1.mp4 83.2 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/4. Unsupervised Learning Algorithms/9. Create K-means Clustering Algorithm Model in Python - 1.mp4 82.4 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/4. Unsupervised Learning Algorithms/6. Create Hierarchical Clustering Algorithm in Python-2.mp4 75.6 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/17. Create Simple Linear Regression Model in Python-Part 4.mp4 73.7 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/4. Unsupervised Learning Algorithms/13. Create Association Rules (Market Basket Analysis) Model in Python - 1.mp4 72.8 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/50. Create Random Forest Model in Python.mp4 72.7 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/5. Deep Learning/8. Create Artificial Neural Network Model in Python Part-2.mp4 72.3 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/16. Create Simple Linear Regression Model in Python-Part 3.mp4 69.4 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/5. Deep Learning/9. Create Artificial Neural Network Model in Python Part-3.mp4 68.8 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/41. Create KNN Model in Python.mp4 68.4 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/5. Deep Learning/7. Create Artificial Neural Network Model in Python Part-1.mp4 68.1 MB
[TutsNode.com] - Learn Data Mining and Machine Learning With Python/3. Supervised Learning Algorithms/39. Create Logistic Regression Model in Python-Part 2.mp4 62.5 MB

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【影视】 [GigaCourse.Com] Udemy - Machine Learning in Python with 5 Machine Learning Projects

收录时间:2022-04-06 文档个数:829 文档大小:22.4 GB 最近下载:2025-05-15 人气:2190 磁力链接

12. Tree Based Models/2. Attribute selection method- Gini Index and Entropy.mp4 229.3 MB
11. Introduction to KNN, SVM, Naive Bayes/6. Introduction to Naive Bayes.mp4 183.2 MB
13. Boosting Models/2. Intuition for Adaboost and Gradient Boosting.mp4 160.7 MB
10. Logistic Regression/8. Using ROC-AUC score to analyze the performance of model.mp4 154.8 MB
10. Logistic Regression/6. How to analyze performance of a classification model.mp4 153.3 MB
13. Boosting Models/7. Introudction to Ensembling techniques.mp4 140.5 MB
20. Predicting Health Expense of Customers/8. Applying Linear Regression Model.mp4 134.3 MB
2. Python for Data Analysis/17. Time Complexity.mp4 126.0 MB
2. Python for Data Analysis/21. Insertion and Selection Sort.mp4 125.8 MB
1. Python Fundamentals/4. Built in Data Types and Type Casting.mp4 125.7 MB
18. Time Series Forecasting/8. Handling Missing Values.mp4 122.1 MB
2. Python for Data Analysis/22. Merge Sort.mp4 121.0 MB
17. Recommendation Engines/19. Introduction to SVD.mp4 117.5 MB
2. Python for Data Analysis/19. Binary Search.mp4 114.9 MB
9. Linear Regression/6. Analyzing the performance of Regression models.mp4 114.3 MB
11. Introduction to KNN, SVM, Naive Bayes/1. Introduction to Support Vector machines.mp4 113.4 MB
9. Linear Regression/9. Applying real time prediction on our model.mp4 112.8 MB
9. Linear Regression/7. R2 score and adjuted R2 score intuition.mp4 112.2 MB
10. Logistic Regression/1. Introduction to Logistic Regression.mp4 111.6 MB
5. Data Cleaning/24. Data Cleaning on Naukri Dataset.mp4 111.4 MB

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【影视】 [ DevCourseWeb.com ] Udemy - Optimizers in Machine Learning and Deep Learning

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~Get Your Files Here !/5 - Adagrad/2 - Adagrad - Excel implementation.mp4 107.4 MB
~Get Your Files Here !/5 - Adagrad/1 - Adagrad - Intro.mp4 84.3 MB
~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/5 - SGD with Sigmoid Activation and Binary Log loss - Part 1.mp4 81.1 MB
~Get Your Files Here !/3 - Momentum/2 - Momentum - Excel implementation.mp4 77.2 MB
~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/4 - SGD with ReLu Activation and Mean Absolute Error.mp4 73.6 MB
~Get Your Files Here !/4 - NAG/2 - NAG - Excel implementation.mp4 69.9 MB
~Get Your Files Here !/7 - Adam/2 - Adam - Excel implementation.mp4 59.0 MB
~Get Your Files Here !/2 - Stochastic Gradient Descent/3 - SGD - Excel implementation.mp4 45.8 MB
~Get Your Files Here !/2 - Stochastic Gradient Descent/1 - Stochastic Gradient Descent (SGD) - Intro.mp4 38.8 MB
~Get Your Files Here !/5 - Adagrad/3 - Adagrad - Validating excel outputs using TensorFlow.mp4 38.1 MB
~Get Your Files Here !/2 - Stochastic Gradient Descent/4 - SGD - Validating excel outputs using TensorFlow.mp4 35.3 MB
~Get Your Files Here !/3 - Momentum/3 - Momentum - Validating excel outputs using TensorFlow.mp4 33.3 MB
~Get Your Files Here !/7 - Adam/3 - Adam - Validating excel outputs using TensorFlow.mp4 30.8 MB
~Get Your Files Here !/2 - Stochastic Gradient Descent/5 - SGD - Pros and Cons.mp4 30.4 MB
~Get Your Files Here !/4 - NAG/3 - NAG - Validating excel outputs using TensorFlow.mp4 26.6 MB
~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/3 - SGD with Root Mean Squared Error.mp4 26.3 MB
~Get Your Files Here !/2 - Stochastic Gradient Descent/2 - SGD with Mean Squared Error - Gradient derivation.mp4 24.4 MB
~Get Your Files Here !/7 - Adam/1 - Adam - Intro.mp4 23.1 MB
~Get Your Files Here !/8 - Gradient derivation for different loss and activation functions/2 - SGD with Mean Absolute Error.mp4 22.3 MB
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【影视】 Learning From Mom 4K.mp4

收录时间:2021-04-12 文档个数:1 文档大小:2.6 GB 最近下载:2025-05-16 人气:2179 磁力链接

Learning From Mom 4K.mp4 2.6 GB

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