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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
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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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【影视】 [UdemyCourseDownloader] Python for Finance Investment Fundamentals & Data Analytics

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10. Advanced Python tools/17. Importing and Organizing Data in Python – part II.A.mp4 69.8 MB
02. Introduction to programming with Python/7. Installing Python and Jupyter.mp4 57.1 MB
10. Advanced Python tools/14. Sources of Financial Data.mp4 40.6 MB
10. Advanced Python tools/18. Importing and Organizing Data in Python – part II.B.mp4 38.6 MB
03. Python Variables and Data Types/1. Variables.mp4 27.9 MB
10. Advanced Python tools/16. Importing and Organizing Data in Python – part I.mp4 25.2 MB
10. Advanced Python tools/13. A Note on Using Financial Data in Python.mp4 19.7 MB
02. Introduction to programming with Python/3. Why Python.mp4 16.4 MB
16. Part II Finance Multivariate regression analysis/3. Running a multivariate regression in Python.mp4 16.1 MB
11. PART II FINANCE Calculating and Comparing Rates of Return in Python/11. Calculating a Portfolio of Securities' Rate of Return.mp4 15.9 MB
02. Introduction to programming with Python/1. Programming Explained in 5 Minutes.mp4 15.6 MB
02. Introduction to programming with Python/11. Python 2 vs Python 3 What's the Difference.mp4 14.2 MB
01. Welcome! Course Introduction/1. What Does the Course Cover.mp4 13.7 MB
17. PART II Finance - Monte Carlo simulations as a decision-making tool/5. Monte Carlo Predicting Gross Profit – Part I.mp4 13.7 MB
02. Introduction to programming with Python/9. Jupyter’s Interface – Prerequisites for Coding.mp4 12.9 MB
14. PART II Finance - Markowitz Portfolio Optimization/4. Obtaining the Efficient Frontier in Python – Part II.mp4 12.2 MB
14. PART II Finance - Markowitz Portfolio Optimization/1. Markowitz Portfolio Theory - One of the main pillars of modern Finance.mp4 11.4 MB
17. PART II Finance - Monte Carlo simulations as a decision-making tool/17. Monte Carlo Euler Discretization - Part I.mp4 11.4 MB
12. PART II Finance Measuring Investment Risk/3. Calculating a Security’s Risk in Python.mp4 11.3 MB
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【影视】 [FreeCourseSite.com] Udemy - Complete Machine Learning & Data Science Bootcamp 2021

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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】 [DesireCourse.Net] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included

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20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4 269.6 MB
20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4 167.4 MB
20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4 159.8 MB
27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4 155.3 MB
27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 122.5 MB
26. Presenting for Data Scientists/4. Intro dissection - recap.mp4 120.0 MB
23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp4 93.3 MB
27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 92.1 MB
13. Assessing your model/4. How to build a CAP curve in Excel.mp4 88.5 MB
20. Handling errors during ETL (Phases 1 & 2)/4. Bulletproof Blueprint for Data Wrangling before the Load.mp4 85.8 MB
22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp4 84.1 MB
26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4 78.1 MB
20. Handling errors during ETL (Phases 1 & 2)/3. How excel can mess up your data.mp4 76.0 MB
22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp4 74.6 MB
12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.mp4 69.9 MB
10. Multiple Linear Regression/8. Using Adjusted R-squared to create Robust models.mp4 69.4 MB
26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.mp4 67.5 MB
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【影视】 [FreeCourseSite.com] Udemy - Master the Coding Interview Data Structures + Algorithms

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4. How To Solve Coding Problems/6. Exercise Interview Question 2.mp4 243.4 MB
6. Data Structures Arrays/4. Optional Classes In Javascript.mp4 226.8 MB
5. Data Structures Introduction/3. How Computers Store Data.mp4 214.8 MB
2. Getting More Interviews/6. What If I Don't Have Enough Experience.mp4 212.7 MB
4. How To Solve Coding Problems/5. Exercise Interview Question.mp4 208.2 MB
2. Getting More Interviews/3. Exercise Resume Walkthrough.mp4 203.4 MB
17. Offer + Negotiation/3. Negotiation 101.mp4 177.0 MB
9. Data Structures Stacks + Queues/7. Optional How Javascript Works.mp4 173.4 MB
17. Offer + Negotiation/4. Handling An Offer.mp4 165.9 MB
16. Non Technical Interviews/2. During The Interview.mp4 164.6 MB
16. Non Technical Interviews/12. Secret Weapon.mp4 149.0 MB
17. Offer + Negotiation/6. Getting A Raise.mp4 139.4 MB
17. Offer + Negotiation/5. Handling Multiple Offers.mp4 136.5 MB
7. Data Structures Hash Tables/6. Solution Implement A Hash Table.mp4 128.7 MB
13. Algorithms Sorting/18. Quick Sort.mp4 125.8 MB
2. Getting More Interviews/12. Email.mp4 121.7 MB
6. Data Structures Arrays/5. Implementing An Array.mp4 119.1 MB
8. Data Structures Linked Lists/11. Solution insert().mp4 112.0 MB
13. Algorithms Sorting/1. Sorting Introduction.mp4 111.9 MB
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