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- 【影视】 [FreeCoursesOnline.Me] [OREILLY] Learn Python 3 the Hard Way (Companion Videos) Incl. Book - [FCO]
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收录时间:2021-03-14
文档个数:70
文档大小:14.3 GB
最近下载:2025-05-16
人气:4564
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01 - Exercise 0 - The Setup (Linux).mp4 1.1 GB
28 - Exercise 23 - Strings, Bytes, and Character Encodings.mp4 752.4 MB
58 - Exercise 51 - Getting Input From a Browser (macOS).mp4 544.1 MB
52 - Exercise 46 - A Project Skeleton (Windows).mp4 490.4 MB
03 - Exercise 0 - The Setup (Windows).mp4 443.9 MB
48 - Exercise 43 - Basic Object-Oriented Analysis and Design.mp4 432.1 MB
54 - Exercise 48 - Advanced User Input.mp4 429.7 MB
45 - Exercise 40 - Modules, Classes, and Objects.mp4 424.0 MB
51 - Exercise 46 - A Project Skeleton (macOS).mp4 417.4 MB
26 - Exercise 21 - Functions Can Return Something.mp4 388.6 MB
46 - Exercise 41 - Learning to Speak Object-Oriented.mp4 361.2 MB
10 - Exercise 5 - More Variables and Printing.mp4 324.1 MB
59 - Exercise 51 - Getting Input From a Browser (Windows).mp4 322.8 MB
53 - Exercise 47 - Automated Testing.mp4 314.3 MB
55 - Exercise 49 - Making Sentences.mp4 313.5 MB
43 - Exercise 38 - Doing Things to Lists.mp4 299.7 MB
60 - Exercise 52 - The Start of Your Web Game (macOS).mp4 299.0 MB
61 - Exercise 52 - The Start of Your Web Game (Windows).mp4 297.2 MB
56 - Exercise 50 - Your First Website (macOS).mp4 282.8 MB
37 - Exercise 32 - Loops and Lists.mp4 274.6 MB
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- 【影视】 Addison-Wesley Professional - Learn Python 3 the Hard Way
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收录时间:2017-08-17
文档个数:64
文档大小:14.3 GB
最近下载:2025-05-16
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01 - Exercise 0 - The Setup (Linux).mp4 1.1 GB
47 - Exercise 42 - Is-A, Has-A, Objects, and Classes.mp4 145.2 MB
35 - Exercise 30 - Else and If.mp4 78.9 MB
36 - Exercise 31 - Making Decisions.mp4 178.7 MB
37 - Exercise 32 - Loops and Lists.mp4 274.6 MB
38 - Exercise 33 - While Loops.mp4 219.2 MB
39 - Exercise 34 - Accessing Elements of Lists.mp4 164.1 MB
40 - Exercise 35 - Branches and Functions.mp4 141.5 MB
41 - Exercise 36 - Designing and Debugging.mp4 164.2 MB
42 - Exercise 37 - Symbol Review.mp4 225.7 MB
43 - Exercise 38 - Doing Things to Lists.mp4 299.7 MB
44 - Exercise 39 - Dictionaries, Oh Lovely Dictionaries.mp4 219.9 MB
45 - Exercise 40 - Modules, Classes, and Objects.mp4 424.0 MB
46 - Exercise 41 - Learning to Speak Object-Oriented.mp4 361.2 MB
48 - Exercise 43 - Basic Object-Oriented Analysis and Design.mp4 432.1 MB
02 - Exercise 0 - The Setup (macOS).mp4 238.9 MB
49 - Exercise 44 - Inheritance Versus Composition.mp4 176.2 MB
50 - Exercise 45 - You Make a Game.mp4 160.7 MB
51 - Exercise 46 - A Project Skeleton (macOS).mp4 417.4 MB
52 - Exercise 46 - A Project Skeleton (Windows).mp4 490.4 MB
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- 【影视】 Udemy - Python The Ultimate Course 2023 - Everything You'll Ever Need
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收录时间:2023-12-17
文档个数:425
文档大小:14.3 GB
最近下载:2025-05-15
人气:5396
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27. Portfolio Project Netflix Recommender Systems Introduction/11. Converting The Project To Object Oriented Programming Styles.mp4 162.5 MB
12. Python Object Oriented Programming/4. Controlling a Motor With Class Methods and Class Variables.mp4 161.3 MB
28. OCR and Image To Text Conversion/10. Processing.mp4 159.5 MB
27. Portfolio Project Netflix Recommender Systems Introduction/12. Converting To Generic Class.mp4 138.6 MB
33. Gaussian Naive Bayes/1. Simply Explained.mp4 136.8 MB
27. Portfolio Project Netflix Recommender Systems Introduction/5. Data pre-processing.mp4 136.5 MB
25. GUI App Portfolio Project/10. Implementation Part 8.mp4 132.1 MB
34. Principal Component Analysis (PCA)/3. Let's Add Few More Details.mp4 127.1 MB
12. Python Object Oriented Programming/3. Objects & Motor Functions.mp4 124.4 MB
12. Python Object Oriented Programming/6. Super Keyword.mp4 119.9 MB
25. GUI App Portfolio Project/8. Implementation Part 6.mp4 117.1 MB
6. Loops and Data Iteration/3. Saving Code Space By Using FOR loops.mp4 115.0 MB
47. Deep Learning Image Classification Portfolio Project/3. Data Pre-Processing.mp4 114.5 MB
49. AI Web App Portfolio Project/8. Project Implementation Part 6.mp4 105.6 MB
9. Data Storage With Python Dictionaries/8. Iterating a Dictionary.mp4 104.3 MB
6. Loops and Data Iteration/7. Image Coordinates Shift Using For Loop.mp4 102.5 MB
3. Conditional Statements and Branching/6. What is my Grade Letter.mp4 101.1 MB
43. Natural Language Processing (NLP) and Text Comprehension/10. Text Frequency Analysis.mp4 98.3 MB
8. Graphical Game Build Your First Ping Pong/4. Keyboard Commands.mp4 97.2 MB
40. Hierarchical Clustering/1. Simply Explained.mp4 94.0 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Algorithmic Trading A-Z with Python, Machine Learning & AWS
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收录时间:2023-12-20
文档个数:869
文档大小:14.2 GB
最近下载:2025-05-16
人气:4395
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28. A Machine Learning-powered Strategy A-Z (DNN)/13. Implementation (Oanda & FXCM).mp4 117.9 MB
6. Excursus How to avoid and debug Coding Errors (don´t skip!)/11. How to traceback more complex Errors.mp4 101.5 MB
7. Trading with Python and OANDAFXCM - an Introduction/10. OANDA How to place Orders and execute Trades.mp4 89.6 MB
22. Implementation and Automation with OANDA (UPDATED!)/17. Trade Monitoring and Reporting.mp4 88.7 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/56. Customization of Plots.mp4 88.2 MB
15. Defining and Backtesting SMA Strategies/4. Finding the optimal SMA Strategy.mp4 86.8 MB
11. Financial Data Analysis with Pandas - an Introduction/12. Importing Financial Data from Excel.mp4 84.6 MB
13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/12. Inheritance.mp4 82.7 MB
20. Advanced Backtesting Techniques/13. Adding the Iterative Backtest Child Class for SMA (Part 2).mp4 82.2 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/34. Slicing Rows and Columns with loc (label-based indexing).mp4 81.3 MB
15. Defining and Backtesting SMA Strategies/5. Generalization with OOP An SMA Backtesting Class in action.mp4 77.2 MB
19. Trading Strategies powered by Machine Learning - Classification/7. Generalization with OOP A Classification Backtesting Class in action.mp4 77.0 MB
22. Implementation and Automation with OANDA (UPDATED!)/4. Historical Data, real-time Data and Orders (Recap).mp4 76.3 MB
10. Introduction to Time Series Data in Pandas/4. Downsampling Time Series with resample().mp4 75.7 MB
24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/4. How to create an EC2 Instance.mp4 75.3 MB
33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/61. Categorical Seaborn Plots.mp4 74.2 MB
17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)/4. Defining a Bollinger Bands Mean-Reversion Strategy (Part 2).mp4 74.1 MB
3. Day Trading with OANDA A-Z a Deep Dive/7. Margin and Leverage.mp4 74.0 MB
3. Day Trading with OANDA A-Z a Deep Dive/6. Trading Costs and Performance Attribution.mp4 72.9 MB
27. Working with two or many Strategies (Combination)/8. Strategy Optimization.mp4 71.9 MB
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- 【影视】 (1975) Monty Python and the Holy Grail (1080p).mkv
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收录时间:2017-03-31
文档个数:1
文档大小:14.2 GB
最近下载:2025-02-01
人气:4
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(1975) Monty Python and the Holy Grail (1080p).mkv 14.2 GB
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- 【影视】 [FreeCourseSite.com] Udemy - Machine Learning & Deep Learning in Python & R
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收录时间:2021-05-21
文档个数:564
文档大小:14.2 GB
最近下载:2025-05-16
人气:1497
磁力链接
27. ANN in R/8. Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
37. Time Series - Preprocessing in Python/3. Time Series - Visualization in Python.mp4 173.2 MB
18. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4 169.1 MB
26. ANN in Python/9. Building Neural Network for Regression Problem.mp4 163.5 MB
26. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
23. Creating Support Vector Machine Model in R/4. Classification SVM model using Linear Kernel.mp4 145.9 MB
27. ANN in R/6. Building Regression Model with Functional API.mp4 137.5 MB
27. ANN in R/3. Building,Compiling and Training.mp4 137.1 MB
34. Transfer Learning Basics/6. Project - Transfer Learning - VGG16.mp4 135.4 MB
7. Linear Regression/20. Ridge regression and Lasso in Python.mp4 135.1 MB
25. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
38. Time Series - Important Concepts/5. Differencing in Python.mp4 118.5 MB
37. Time Series - Preprocessing in Python/5. Time Series - Feature Engineering in Python.mp4 118.2 MB
27. ANN in R/2. Data Normalization and Test-Train Split.mp4 117.2 MB
5. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 114.5 MB
37. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4 114.1 MB
23. Creating Support Vector Machine Model in R/8. SVM based Regression Model in R.mp4 111.3 MB
7. Linear Regression/21. Ridge regression and Lasso in R.mp4 108.5 MB
14. Simple Decision Trees/13. Building a Regression Tree in R.mp4 108.3 MB
35. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
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- 【影视】 Python The Ultimate Course 2023 - Everything You'll Ever Need
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文档个数:426
文档大小:14.2 GB
最近下载:2025-05-15
人气:1224
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[TutsNode.net] - Python The Ultimate Course 2023 - Everything You'll Ever Need/12. Python Object Oriented Programming/4. Controlling a Motor With Class Methods and Class Variables.mp4 161.3 MB
[TutsNode.net] - Python The Ultimate Course 2023 - Everything You'll Ever Need/28. OCR and Image To Text Conversion/10. Processing.mp4 159.5 MB
[TutsNode.net] - Python The Ultimate Course 2023 - Everything You'll Ever Need/27. Portfolio Project Netflix Recommender Systems Introduction/12. Converting To Generic Class.mp4 138.6 MB
[TutsNode.net] - Python The Ultimate Course 2023 - Everything You'll Ever Need/33. Gaussian Naive Bayes/1. Simply Explained.mp4 136.8 MB
[TutsNode.net] - Python The Ultimate Course 2023 - Everything You'll Ever Need/27. Portfolio Project Netflix Recommender Systems Introduction/5. Data pre-processing.mp4 136.5 MB
[TutsNode.net] - Python The Ultimate Course 2023 - Everything You'll Ever Need/25. GUI App Portfolio Project/10. Implementation Part 8.mp4 132.1 MB
[TutsNode.net] - Python The Ultimate Course 2023 - Everything You'll Ever Need/34. Principal Component Analysis (PCA)/3. Let's Add Few More Details.mp4 127.1 MB
[TutsNode.net] - Python The Ultimate Course 2023 - Everything You'll Ever Need/12. Python Object Oriented Programming/3. Objects & Motor Functions.mp4 124.4 MB
[TutsNode.net] - Python The Ultimate Course 2023 - Everything You'll Ever Need/12. Python Object Oriented Programming/6. Super Keyword.mp4 119.9 MB
[TutsNode.net] - Python The Ultimate Course 2023 - Everything You'll Ever Need/25. GUI App Portfolio Project/8. Implementation Part 6.mp4 117.1 MB
[TutsNode.net] - Python The Ultimate Course 2023 - Everything You'll Ever Need/6. Loops and Data Iteration/3. Saving Code Space By Using FOR loops.mp4 115.0 MB
[TutsNode.net] - Python The Ultimate Course 2023 - Everything You'll Ever Need/47. Deep Learning Image Classification Portfolio Project/3. Data Pre-Processing.mp4 114.5 MB
[TutsNode.net] - Python The Ultimate Course 2023 - Everything You'll Ever Need/49. AI Web App Portfolio Project/8. Project Implementation Part 6.mp4 105.6 MB
[TutsNode.net] - Python The Ultimate Course 2023 - Everything You'll Ever Need/9. Data Storage With Python Dictionaries/8. Iterating a Dictionary.mp4 104.3 MB
[TutsNode.net] - Python The Ultimate Course 2023 - Everything You'll Ever Need/6. Loops and Data Iteration/7. Image Coordinates Shift Using For Loop.mp4 102.5 MB
[TutsNode.net] - Python The Ultimate Course 2023 - Everything You'll Ever Need/3. Conditional Statements and Branching/6. What is my Grade Letter.mp4 101.1 MB
[TutsNode.net] - Python The Ultimate Course 2023 - Everything You'll Ever Need/43. Natural Language Processing (NLP) and Text Comprehension/10. Text Frequency Analysis.mp4 98.3 MB
[TutsNode.net] - Python The Ultimate Course 2023 - Everything You'll Ever Need/8. Graphical Game Build Your First Ping Pong/4. Keyboard Commands.mp4 97.2 MB
[TutsNode.net] - Python The Ultimate Course 2023 - Everything You'll Ever Need/40. Hierarchical Clustering/1. Simply Explained.mp4 94.0 MB
[TutsNode.net] - Python The Ultimate Course 2023 - Everything You'll Ever Need/5. Finite State Machines In Python/1. Introduction To Finite State Machines.mp4 93.6 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Python Django 4 Masterclass Build a Real World Project
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文档个数:633
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人气:8637
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07 - Working with multiple Models and Relationships/006 Managing data with Many to One relationship.mp4 287.9 MB
13 - Real world project A Blog Application Building more features/007 Challenge Building Author page.mp4 274.1 MB
13 - Real world project A Blog Application Building more features/005 Building Tags page.mp4 274.1 MB
11 - Deploying your apps on a real server/017 Serving media files via S3 bucket.mp4 242.0 MB
12 - Real world project A Blog Application Getting started/010 Building Tags.mp4 202.8 MB
13 - Real world project A Blog Application Building more features/008 Building search.mp4 191.0 MB
12 - Real world project A Blog Application Getting started/009 Building the home page.mp4 187.6 MB
16 - Real world project A Blog Application Finishing our blog application/008 Building Sidebar in post.mp4 181.2 MB
15 - Authentication/009 Adding custom registration page.mp4 174.7 MB
16 - Real world project A Blog Application Finishing our blog application/002 Building bookmarks.mp4 168.2 MB
16 - Real world project A Blog Application Finishing our blog application/003 Challenge Building likes.mp4 167.1 MB
12 - Real world project A Blog Application Getting started/008 Configuring static files and render post.mp4 160.7 MB
09 - Working with Static Files and File uploads/009 Image Uploads Setting up a new app.mp4 160.1 MB
13 - Real world project A Blog Application Building more features/003 Making users subscribe to our blog.mp4 151.0 MB
07 - Working with multiple Models and Relationships/003 One to One relationship.mp4 150.6 MB
07 - Working with multiple Models and Relationships/004 Managing data with One to One Relationships.mp4 146.1 MB
12 - Real world project A Blog Application Getting started/006 Posts views and templates.mp4 143.7 MB
13 - Real world project A Blog Application Building more features/006 Enabling Author on posts.mp4 142.5 MB
05 - Django modelsworking with the database/024 Working with Slugs, why slugs.mp4 140.3 MB
09 - Working with Static Files and File uploads/011 Rendering images on frontend.mp4 139.0 MB
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收录时间:2024-02-13
文档个数:634
文档大小:14.1 GB
最近下载:2025-05-07
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磁力链接
07 - Working with multiple Models and Relationships/006 Managing data with Many to One relationship.mp4 287.9 MB
13 - Real world project A Blog Application Building more features/007 Challenge Building Author page.mp4 274.1 MB
13 - Real world project A Blog Application Building more features/005 Building Tags page.mp4 274.1 MB
11 - Deploying your apps on a real server/017 Serving media files via S3 bucket.mp4 242.0 MB
12 - Real world project A Blog Application Getting started/010 Building Tags.mp4 202.8 MB
13 - Real world project A Blog Application Building more features/008 Building search.mp4 191.0 MB
12 - Real world project A Blog Application Getting started/009 Building the home page.mp4 187.6 MB
16 - Real world project A Blog Application Finishing our blog application/008 Building Sidebar in post.mp4 181.2 MB
15 - Authentication/009 Adding custom registration page.mp4 174.7 MB
16 - Real world project A Blog Application Finishing our blog application/002 Building bookmarks.mp4 168.2 MB
16 - Real world project A Blog Application Finishing our blog application/003 Challenge Building likes.mp4 167.1 MB
12 - Real world project A Blog Application Getting started/008 Configuring static files and render post.mp4 160.7 MB
09 - Working with Static Files and File uploads/009 Image Uploads Setting up a new app.mp4 160.1 MB
13 - Real world project A Blog Application Building more features/003 Making users subscribe to our blog.mp4 151.0 MB
07 - Working with multiple Models and Relationships/003 One to One relationship.mp4 150.6 MB
07 - Working with multiple Models and Relationships/004 Managing data with One to One Relationships.mp4 146.1 MB
12 - Real world project A Blog Application Getting started/006 Posts views and templates.mp4 143.7 MB
13 - Real world project A Blog Application Building more features/006 Enabling Author on posts.mp4 142.5 MB
05 - Django modelsworking with the database/024 Working with Slugs, why slugs.mp4 140.3 MB
09 - Working with Static Files and File uploads/011 Rendering images on frontend.mp4 139.0 MB
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文档个数:611
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人气:716
磁力链接
07 - Working with multiple Models and Relationships/006 Managing data with Many to One relationship.mp4 287.9 MB
13 - Real world project A Blog Application Building more features/007 Challenge Building Author page.mp4 274.1 MB
13 - Real world project A Blog Application Building more features/005 Building Tags page.mp4 274.1 MB
11 - Deploying your apps on a real server/017 Serving media files via S3 bucket.mp4 242.0 MB
12 - Real world project A Blog Application Getting started/010 Building Tags.mp4 202.8 MB
13 - Real world project A Blog Application Building more features/008 Building search.mp4 191.0 MB
12 - Real world project A Blog Application Getting started/009 Building the home page.mp4 187.6 MB
16 - Real world project A Blog Application Finishing our blog application/008 Building Sidebar in post.mp4 181.2 MB
15 - Authentication/009 Adding custom registration page.mp4 174.7 MB
16 - Real world project A Blog Application Finishing our blog application/002 Building bookmarks.mp4 168.2 MB
16 - Real world project A Blog Application Finishing our blog application/003 Challenge Building likes.mp4 167.1 MB
12 - Real world project A Blog Application Getting started/008 Configuring static files and render post.mp4 160.7 MB
09 - Working with Static Files and File uploads/009 Image Uploads Setting up a new app.mp4 160.1 MB
13 - Real world project A Blog Application Building more features/003 Making users subscribe to our blog.mp4 151.0 MB
07 - Working with multiple Models and Relationships/003 One to One relationship.mp4 150.6 MB
07 - Working with multiple Models and Relationships/004 Managing data with One to One Relationships.mp4 146.1 MB
12 - Real world project A Blog Application Getting started/006 Posts views and templates.mp4 143.7 MB
13 - Real world project A Blog Application Building more features/006 Enabling Author on posts.mp4 142.5 MB
05 - Django modelsworking with the database/024 Working with Slugs, why slugs.mp4 140.3 MB
09 - Working with Static Files and File uploads/011 Rendering images on frontend.mp4 139.0 MB
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27. ANN in R/8. Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
37. Time Series - Preprocessing in Python/3. Time Series - Visualization in Python.mp4 173.2 MB
18. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4 169.1 MB
26. ANN in Python/9. Building Neural Network for Regression Problem.mp4 163.5 MB
26. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4 159.0 MB
23. Creating Support Vector Machine Model in R/4. Classification SVM model using Linear Kernel.mp4 145.9 MB
27. ANN in R/6. Building Regression Model with Functional API.mp4 137.5 MB
27. ANN in R/3. Building,Compiling and Training.mp4 137.1 MB
34. Transfer Learning Basics/6. Project - Transfer Learning - VGG16.mp4 135.4 MB
7. Linear Regression/20. Ridge regression and Lasso in Python.mp4 135.1 MB
25. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
38. Time Series - Important Concepts/5. Differencing in Python.mp4 118.5 MB
37. Time Series - Preprocessing in Python/5. Time Series - Feature Engineering in Python.mp4 118.2 MB
27. ANN in R/2. Data Normalization and Test-Train Split.mp4 117.2 MB
5. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 114.5 MB
37. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4 114.2 MB
23. Creating Support Vector Machine Model in R/8. SVM based Regression Model in R.mp4 111.3 MB
7. Linear Regression/21. Ridge regression and Lasso in R.mp4 108.5 MB
14. Simple Decision Trees/13. Building a Regression Tree in R.mp4 108.4 MB
35. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
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27. ANN in R/8. Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
37. Time Series - Preprocessing in Python/3. Time Series - Visualization in Python.mp4 173.2 MB
18. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4 169.1 MB
26. ANN in Python/9. Building Neural Network for Regression Problem.mp4 163.5 MB
26. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4 159.0 MB
23. Creating Support Vector Machine Model in R/4. Classification SVM model using Linear Kernel.mp4 145.9 MB
27. ANN in R/6. Building Regression Model with Functional API.mp4 137.5 MB
27. ANN in R/3. Building,Compiling and Training.mp4 137.1 MB
34. Transfer Learning Basics/6. Project - Transfer Learning - VGG16.mp4 135.4 MB
7. Linear Regression/20. Ridge regression and Lasso in Python.mp4 135.1 MB
25. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
38. Time Series - Important Concepts/5. Differencing in Python.mp4 118.5 MB
37. Time Series - Preprocessing in Python/5. Time Series - Feature Engineering in Python.mp4 118.2 MB
27. ANN in R/2. Data Normalization and Test-Train Split.mp4 117.2 MB
5. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 114.5 MB
37. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4 114.2 MB
23. Creating Support Vector Machine Model in R/8. SVM based Regression Model in R.mp4 111.3 MB
7. Linear Regression/21. Ridge regression and Lasso in R.mp4 108.5 MB
14. Simple Decision Trees/13. Building a Regression Tree in R.mp4 108.4 MB
35. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
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27 ANN in R/008 Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
37 Time Series - Preprocessing in Python/003 Time Series - Visualization in Python.mp4 173.2 MB
18 Ensemble technique 3 - Boosting/007 XGBoosting in R.mp4 169.1 MB
26 ANN in Python/009 Building Neural Network for Regression Problem.mp4 163.5 MB
26 ANN in Python/011 Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
23 Creating Support Vector Machine Model in R/004 Classification SVM model using Linear Kernel.mp4 145.9 MB
27 ANN in R/006 Building Regression Model with Functional API.mp4 137.5 MB
27 ANN in R/003 Building,Compiling and Training.mp4 137.1 MB
34 Transfer Learning _ Basics/006 Project - Transfer Learning - VGG16.mp4 135.4 MB
07 Linear Regression/020 Ridge regression and Lasso in Python.mp4 135.1 MB
25 Neural Networks - Stacking cells to create network/003 Back Propagation.mp4 128.1 MB
38 Time Series - Important Concepts/005 Differencing in Python.mp4 118.5 MB
37 Time Series - Preprocessing in Python/005 Time Series - Feature Engineering in Python.mp4 118.2 MB
27 ANN in R/002 Data Normalization and Test-Train Split.mp4 117.2 MB
05 Introduction to Machine Learning/001 Introduction to Machine Learning.mp4 114.5 MB
37 Time Series - Preprocessing in Python/001 Data Loading in Python.mp4 114.1 MB
23 Creating Support Vector Machine Model in R/008 SVM based Regression Model in R.mp4 111.3 MB
07 Linear Regression/021 Ridge regression and Lasso in R.mp4 108.5 MB
14 Simple Decision Trees/013 Building a Regression Tree in R.mp4 108.3 MB
35 Transfer Learning in R/001 Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
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27 ANN in R/008 Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
37 Time Series - Preprocessing in Python/003 Time Series - Visualization in Python.mp4 173.2 MB
18 Ensemble technique 3 - Boosting/007 XGBoosting in R.mp4 169.1 MB
26 ANN in Python/009 Building Neural Network for Regression Problem.mp4 163.5 MB
26 ANN in Python/011 Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
23 Creating Support Vector Machine Model in R/004 Classification SVM model using Linear Kernel.mp4 145.9 MB
27 ANN in R/006 Building Regression Model with Functional API.mp4 137.5 MB
27 ANN in R/003 Building,Compiling and Training.mp4 137.1 MB
34 Transfer Learning _ Basics/006 Project - Transfer Learning - VGG16.mp4 135.4 MB
07 Linear Regression/020 Ridge regression and Lasso in Python.mp4 135.1 MB
25 Neural Networks - Stacking cells to create network/003 Back Propagation.mp4 128.1 MB
38 Time Series - Important Concepts/005 Differencing in Python.mp4 118.5 MB
37 Time Series - Preprocessing in Python/005 Time Series - Feature Engineering in Python.mp4 118.2 MB
27 ANN in R/002 Data Normalization and Test-Train Split.mp4 117.2 MB
05 Introduction to Machine Learning/001 Introduction to Machine Learning.mp4 114.5 MB
37 Time Series - Preprocessing in Python/001 Data Loading in Python.mp4 114.1 MB
23 Creating Support Vector Machine Model in R/008 SVM based Regression Model in R.mp4 111.3 MB
07 Linear Regression/021 Ridge regression and Lasso in R.mp4 108.5 MB
14 Simple Decision Trees/013 Building a Regression Tree in R.mp4 108.3 MB
35 Transfer Learning in R/001 Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
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27 ANN in R/008 Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
37 Time Series - Preprocessing in Python/003 Time Series - Visualization in Python.mp4 173.2 MB
18 Ensemble technique 3 - Boosting/007 XGBoosting in R.mp4 169.1 MB
26 ANN in Python/009 Building Neural Network for Regression Problem.mp4 163.5 MB
26 ANN in Python/011 Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
23 Creating Support Vector Machine Model in R/004 Classification SVM model using Linear Kernel.mp4 145.9 MB
27 ANN in R/006 Building Regression Model with Functional API.mp4 137.5 MB
27 ANN in R/003 Building,Compiling and Training.mp4 137.1 MB
34 Transfer Learning _ Basics/006 Project - Transfer Learning - VGG16.mp4 135.4 MB
07 Linear Regression/020 Ridge regression and Lasso in Python.mp4 135.1 MB
25 Neural Networks - Stacking cells to create network/003 Back Propagation.mp4 128.1 MB
38 Time Series - Important Concepts/005 Differencing in Python.mp4 118.5 MB
37 Time Series - Preprocessing in Python/005 Time Series - Feature Engineering in Python.mp4 118.2 MB
27 ANN in R/002 Data Normalization and Test-Train Split.mp4 117.2 MB
05 Introduction to Machine Learning/001 Introduction to Machine Learning.mp4 114.5 MB
37 Time Series - Preprocessing in Python/001 Data Loading in Python.mp4 114.1 MB
23 Creating Support Vector Machine Model in R/008 SVM based Regression Model in R.mp4 111.3 MB
07 Linear Regression/021 Ridge regression and Lasso in R.mp4 108.5 MB
14 Simple Decision Trees/013 Building a Regression Tree in R.mp4 108.3 MB
35 Transfer Learning in R/001 Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
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27 ANN in R/008 Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
37 Time Series - Preprocessing in Python/003 Time Series - Visualization in Python.mp4 173.2 MB
18 Ensemble technique 3 - Boosting/007 XGBoosting in R.mp4 169.1 MB
26 ANN in Python/009 Building Neural Network for Regression Problem.mp4 163.5 MB
26 ANN in Python/011 Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
23 Creating Support Vector Machine Model in R/004 Classification SVM model using Linear Kernel.mp4 145.9 MB
27 ANN in R/006 Building Regression Model with Functional API.mp4 137.5 MB
27 ANN in R/003 Building,Compiling and Training.mp4 137.1 MB
34 Transfer Learning _ Basics/006 Project - Transfer Learning - VGG16.mp4 135.4 MB
07 Linear Regression/020 Ridge regression and Lasso in Python.mp4 135.1 MB
25 Neural Networks - Stacking cells to create network/003 Back Propagation.mp4 128.1 MB
38 Time Series - Important Concepts/005 Differencing in Python.mp4 118.5 MB
37 Time Series - Preprocessing in Python/005 Time Series - Feature Engineering in Python.mp4 118.2 MB
27 ANN in R/002 Data Normalization and Test-Train Split.mp4 117.2 MB
05 Introduction to Machine Learning/001 Introduction to Machine Learning.mp4 114.5 MB
37 Time Series - Preprocessing in Python/001 Data Loading in Python.mp4 114.1 MB
23 Creating Support Vector Machine Model in R/008 SVM based Regression Model in R.mp4 111.3 MB
07 Linear Regression/021 Ridge regression and Lasso in R.mp4 108.5 MB
14 Simple Decision Trees/013 Building a Regression Tree in R.mp4 108.3 MB
35 Transfer Learning in R/001 Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
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48 - 9.2 Learn SciPy.mp4 697.3 MB
77 - 14.4 Use function-based concurrency.mp4 637.7 MB
08 - 2.2 Manage Colab documents.mp4 473.7 MB
84 - 16.1 PyTest.mp4 391.0 MB
24 - 5.1 Use lists and tuples.mp4 387.9 MB
85 - 16.2 Visual Studio Code.mp4 382.4 MB
79 - 15.1 Share with Github.mp4 375.5 MB
50 - 9.4 Learn TensorFlow.mp4 358.5 MB
75 - 14.2 Read and write with Pandas - CSV, JSON.mp4 352.8 MB
49 - 9.3 Learn Pandas.mp4 351.9 MB
07 - 2.1 Create your first Colab document.mp4 344.8 MB
45 - 8.5 Advanced Use of Functions.mp4 334.5 MB
72 - 13.3 Sort in Pandas.mp4 316.6 MB
47 - 9.1 Learn NumPy.mp4 301.9 MB
67 - 12.2 Use regular expressions.mp4 298.4 MB
52 - 9.6 Use Plotly for interactive plots.mp4 274.8 MB
51 - 9.5 Use Seaborn for 2D plots.mp4 274.4 MB
10 - 2.4 Understand compatibility with Jupyter.mp4 270.6 MB
53 - 9.7 Specialized Visualization Libraries.mp4 253.4 MB
27 - 5.4 Work with the numpy array.mp4 245.8 MB
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48 - 9.2 Learn SciPy.mp4 697.3 MB
77 - 14.4 Use function-based concurrency.mp4 637.7 MB
08 - 2.2 Manage Colab documents.mp4 473.7 MB
84 - 16.1 PyTest.mp4 391.0 MB
24 - 5.1 Use lists and tuples.mp4 387.9 MB
85 - 16.2 Visual Studio Code.mp4 382.4 MB
79 - 15.1 Share with Github.mp4 375.5 MB
50 - 9.4 Learn TensorFlow.mp4 358.5 MB
75 - 14.2 Read and write with Pandas - CSV, JSON.mp4 352.8 MB
49 - 9.3 Learn Pandas.mp4 351.9 MB
07 - 2.1 Create your first Colab document.mp4 344.8 MB
45 - 8.5 Advanced Use of Functions.mp4 334.5 MB
72 - 13.3 Sort in Pandas.mp4 316.6 MB
47 - 9.1 Learn NumPy.mp4 301.9 MB
67 - 12.2 Use regular expressions.mp4 298.4 MB
52 - 9.6 Use Plotly for interactive plots.mp4 274.8 MB
51 - 9.5 Use Seaborn for 2D plots.mp4 274.4 MB
10 - 2.4 Understand compatibility with Jupyter.mp4 270.6 MB
53 - 9.7 Specialized Visualization Libraries.mp4 253.4 MB
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27. ANN in R/8. Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
37. Time Series - Preprocessing in Python/3. Time Series - Visualization in Python.mp4 173.2 MB
18. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4 169.1 MB
26. ANN in Python/9. Building Neural Network for Regression Problem.mp4 163.5 MB
26. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
23. Creating Support Vector Machine Model in R/3. Classification SVM model using Linear Kernel.mp4 145.9 MB
27. ANN in R/6. Building Regression Model with Functional API.mp4 137.5 MB
27. ANN in R/3. Building,Compiling and Training.mp4 137.1 MB
34. Transfer Learning Basics/6. Project - Transfer Learning - VGG16.mp4 135.4 MB
7. Linear Regression/20. Ridge regression and Lasso in Python.mp4 135.1 MB
25. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
38. Time Series - Important Concepts/5. Differencing in Python.mp4 118.5 MB
37. Time Series - Preprocessing in Python/5. Time Series - Feature Engineering in Python.mp4 118.2 MB
27. ANN in R/2. Data Normalization and Test-Train Split.mp4 117.2 MB
5. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 114.5 MB
37. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4 114.1 MB
23. Creating Support Vector Machine Model in R/7. SVM based Regression Model in R.mp4 111.3 MB
7. Linear Regression/21. Ridge regression and Lasso in R.mp4 108.5 MB
14. Simple Decision Trees/13. Building a Regression Tree in R.mp4 108.4 MB
35. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
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27. ANN in R/8. Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
37. Time Series - Preprocessing in Python/3. Time Series - Visualization in Python.mp4 173.2 MB
18. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4 169.1 MB
26. ANN in Python/9. Building Neural Network for Regression Problem.mp4 163.5 MB
26. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
23. Creating Support Vector Machine Model in R/3. Classification SVM model using Linear Kernel.mp4 145.9 MB
27. ANN in R/6. Building Regression Model with Functional API.mp4 137.5 MB
27. ANN in R/3. Building,Compiling and Training.mp4 137.1 MB
34. Transfer Learning Basics/6. Project - Transfer Learning - VGG16.mp4 135.4 MB
7. Linear Regression/20. Ridge regression and Lasso in Python.mp4 135.1 MB
25. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
38. Time Series - Important Concepts/5. Differencing in Python.mp4 118.5 MB
37. Time Series - Preprocessing in Python/5. Time Series - Feature Engineering in Python.mp4 118.2 MB
27. ANN in R/2. Data Normalization and Test-Train Split.mp4 117.2 MB
5. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 114.5 MB
37. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4 114.1 MB
23. Creating Support Vector Machine Model in R/7. SVM based Regression Model in R.mp4 111.3 MB
7. Linear Regression/21. Ridge regression and Lasso in R.mp4 108.5 MB
14. Simple Decision Trees/13. Building a Regression Tree in R.mp4 108.4 MB
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