Udacity - Artificial Intelligence AI for Trading v1.0.0

Part 02-Module 01-Lesson 01_Welcome To Term II/03. AITND Term II Interview W Justin V2 V2-JOkwa1brNX8.mp4

Part 02-Module 01-Lesson 05_Financial Statements/03. M5 SC 15 10Ks Walkthrough V1-0ytyZ4LVG6s.mp4

Part 07-Module 01-Lesson 05_Introduction to Kalman Filters/25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.mp4

Part 02-Module 02-Lesson 02_Deep Learning with PyTorch/24. PyTorch - Part 8-S9F7MtJ5jls.mp4

Part 03-Module 01-Lesson 02_Data Types and Operators/19. String Methods-Bv7CAxVOONs.mp4

Part 01-Module 04-Lesson 01_Factors/12. Zipline Pipeline SC V1-DHTwIwVk_sc.mp4

Part 07-Module 01-Lesson 03_Clustering/13. Sklearn-3zHUAXcoZ7c.mp4

Part 01-Module 03-Lesson 04_Portfolio Optimization/12. L4 13 Limitations V2-UbbZa7-3iuk.mp4

Part 02-Module 01-Lesson 05_Financial Statements/12. M5 SC 7 Metacharacters Part 2 V1-KK1xo8GDfvE.mp4

Part 06-Module 01-Lesson 06_Conditional Probability/03. Medical Example 2-FV_hc3MzS_8.mp4

Part 06-Module 01-Lesson 09_Normal Distribution Theory/01. Maximum Probability-b2zvrFL8AUw.mp4

Part 07-Module 01-Lesson 04_Decision Trees/01. MLND SL DT 00 Intro V2-l34ijtQhVNk.mp4

Part 03-Module 01-Lesson 02_Data Types and Operators/10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.mp4

Part 02-Module 02-Lesson 02_Deep Learning with PyTorch/12. PyTorch V2 Part 3 Solution V2-zBWlOeX2sQM.mp4

Part 07-Module 01-Lesson 02_Naive Bayes/04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.mp4

Part 03-Module 01-Lesson 02_Data Types and Operators/08. Whitespace-UxkIwcOczQQ.mp4

Part 04-Module 01-Lesson 04_Linear Transformation and Matrices/09. Linear Transformations 1-99jYIxBRDww.mp4

Part 02-Module 01-Lesson 05_Financial Statements/02. AIT M5L4A 02 Financial Statement V6-XYff0ROHzWo.mp4

Part 04-Module 01-Lesson 04_Linear Transformation and Matrices/11. Linear Transformations 3-g_yTyRwMzXU.mp4

Part 03-Module 01-Lesson 03_Control Flow/07. Good And Bad Examples-95oLh3WtdhY.mp4

Part 01-Module 04-Lesson 03_Risk Factor Models/18. MV When You Dont Believe In Yourself 1 V1-rjCr-Z7UhZE.mp4

Part 01-Module 04-Lesson 01_Factors/02. M4 L1A 02 Intro V2-W7_llXQ2GhA.mp4

Part 02-Module 01-Lesson 03_Text Processing/04. Cleaning-qawXp9DPV6I.mp4

Part 03-Module 01-Lesson 04_Functions/14. Iterators And Generators-tYH8X4Zeh-0.mp4

Part 01-Module 01-Lesson 06_Data Processing/11. M1L4 13 Exchange Traded Funds V4-Zx7v5GCfpvI.mp4

Part 02-Module 02-Lesson 02_Deep Learning with PyTorch/11. PyTorch V2 Part 3 V1-9ILiZwbi9dA.mp4

Part 03-Module 01-Lesson 03_Control Flow/10. For Loops-UtX0PXSUCdY.mp4

Part 02-Module 02-Lesson 03_Recurrent Neural Networks/20. 07 CharRNN Solution V1-ed33qePHrJM.mp4

Part 01-Module 04-Lesson 08_Advanced Portfolio Optimization/16. MV 12 Embrace The Struggle V2-SGcgOm5kiKU.mp4

Part 03-Module 01-Lesson 03_Control Flow/02. If Elif and Else-KZubH5XT0eU.mp4

Part 06-Module 01-Lesson 07_Bayes Rule/02. Cancer Test-CNpSrdnYvbo.mp4

Part 01-Module 01-Lesson 01_Welcome to the Nanodegree Program/08. Jonathan Larkin Careers-QhHNPxM_Ku4.mp4

Part 02-Module 01-Lesson 05_Financial Statements/13. M5 SC 8 Metacharacters Part 3 V1-nDlxRlDUNHk.mp4

Part 02-Module 01-Lesson 05_Financial Statements/14. M5 SC 9 Substitutions And Flags V1-9pxTGOlkLEY.mp4

Part 02-Module 02-Lesson 02_Deep Learning with PyTorch/25. PyTorch V2 Part 8 Solution V1-4n6T93hKRD4.mp4

Part 03-Module 01-Lesson 03_Control Flow/31. List Comprehensions-6qxo-NV9v_s.mp4

Part 02-Module 01-Lesson 01_Welcome To Term II/01. AITND TII 01 Recap Of Term 1 V1-uhIvBfhcyLM.mp4

Part 03-Module 01-Lesson 02_Data Types and Operators/13. Strings-ySZDrs-nNqg.mp4

Part 01-Module 04-Lesson 02_Factor Models and Types of Factors/07. M4 L1B 06 Factor Models In Quant Finance V2-VeM2SudgZqc.mp4

Part 03-Module 01-Lesson 03_Control Flow/02. If Statements-jWiIUMrwPqA.mp4

Part 02-Module 01-Lesson 05_Financial Statements/05. AIT M5L4B 01 Introduction To Regex V4-WCXDD_n1ZuA.mp4

Part 06-Module 01-Lesson 07_Bayes Rule/20. Bayes Rule Summary-RgXQ8GRsjfc.mp4

Part 03-Module 01-Lesson 02_Data Types and Operators/05. L2 04b Variables II V3-4IJqbP8vi6A.mp4

Part 02-Module 02-Lesson 02_Deep Learning with PyTorch/10. PyTorch V2 Part 2 Solution 2 V1-8KRX7HvqfP0.mp4

Part 01-Module 02-Lesson 04_Time Series Modeling/04. M2L4 05 Advanced Time Series Models V5-cj1RCBTDog8.mp4

Part 06-Module 01-Lesson 05_Binomial Distribution/09. Arrangements-GeINbOOYkF8.mp4

Part 03-Module 01-Lesson 04_Functions/08. Documentation-_Vl9NJkA6JQ.mp4

Part 02-Module 02-Lesson 02_Deep Learning with PyTorch/17. PyTorch V2 Part 5 Solution V1-AjrXltxqsK4.mp4

Part 06-Module 01-Lesson 06_Conditional Probability/15. Summary-yepMH9VswI8.mp4

Part 02-Module 02-Lesson 03_Recurrent Neural Networks/17. 04 Implementing CharRNN V2-MMtgZXzFB10.mp4