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Artificial Intelligence Agents and Neural Networks for Trade

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11:54:17

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  • 1. 00 About Mammoth Interactive.mp4
    01:12
  • 2. 01 How To Learn Online Effectively.mp4
    13:46
  • 1. 00A What Is Machine Learning.mp4
    05:26
  • 2. 00B Types Of Machine Learning Models.mp4
    12:17
  • 3. 00C What Is Supervised Learning.mp4
    11:03
  • 1. 00. Intro To Course And Python.mp4
    09:57
  • 2. 01. Variables.mp4
    19:19
  • 3. 02. Type Conversion Examples.mp4
    10:06
  • 4. 03. Operators.mp4
    28:54
  • 5. 04. Collections.mp4
    08:24
  • 6. 05. List Examples.mp4
    19:41
  • 7. 06. Tuples Examples.mp4
    08:36
  • 8. 07. Dictionaries Examples.mp4
    14:26
  • 9. 08. Ranges Examples.mp4
    08:32
  • 10. 09. Conditionals.mp4
    06:43
  • 11. 10. If Statement Examples.mp4
    21:32
  • 12. 11. Loops.mp4
    29:42
  • 13. 12. Functions.mp4
    17:01
  • 14. 13. Parameters And Return Values Examples.mp4
    13:54
  • 15. 14. Classes And Objects.mp4
    34:11
  • 16. 15. Inheritance Examples.mp4
    17:29
  • 17. 16. Static Members Examples.mp4
    11:05
  • 18. 17. Summary And Outro.mp4
    04:08
  • 19.1 Source Code.zip
  • 19. Source Code.html
  • 1. 00 Regression Applications In Finance.mp4
    06:44
  • 2.1 Source Files.zip
  • 2. Source Files.html
  • 1. 00 Project Preview.mp4
    01:46
  • 2. 01 What Is Linear Regression.mp4
    05:03
  • 3. 02 Preprocess Data For Machine Learning.mp4
    11:49
  • 4. 03 Make A Prediction With Linear Regression.mp4
    03:59
  • 5. 04 Visualize Model Results.mp4
    08:04
  • 6.1 Source Files.zip
  • 6. Source Files.html
  • 1. 02 Preprocess Data For Polynomial Regression-2.mp4
    12:08
  • 2. 03 Make A Prediction With A 1D Polynomial-3.mp4
    03:38
  • 3. 04 Make A Prediction With Higher Dimensionailty Polynomial Regression-4.mp4
    07:31
  • 4. 05 Find Best Polynomial Model-5.mp4
    08:25
  • 1. 00 What Is Logistic Regression.mp4
    04:32
  • 2. 02 Preprocess Data For Logistic Regression.mp4
    11:11
  • 3. 03 Make A Prediction With Logistic Regression.mp4
    04:28
  • 4. 04 Evaluate Model Results.mp4
    15:48
  • 5. 05 Analyze Model Metrics.mp4
    06:33
  • 6.1 Source Files.zip
  • 6. Source Files.html
  • 1. 00 What Is Isotonic Regression-2.mp4
    02:27
  • 2. 01 Load Data For Isotonic Regression-3.mp4
    07:26
  • 3. 02 Build An Isotonic Regression Model-4.mp4
    06:33
  • 4. 03 Train And Evaluate The Model-5.mp4
    07:51
  • 5.1 Source Files.zip
  • 5. Source Files.html
  • 1. 00 Tree Applications In Finance-1.mp4
    07:02
  • 2.1 Source Files.zip
  • 2. Source Files.html
  • 1. 00 Project Preview-1.mp4
    02:34
  • 2. 01 Make Decisions With Decision Trees-2.mp4
    10:51
  • 3. 02 Preprocess Data For Decision Tree Classification-3.mp4
    11:08
  • 4. 03 Build A Decision Tree-4.mp4
    11:29
  • 5.1 Source Files.zip
  • 5. Source Files.html
  • 1. 01 What Is The Random Forest Classifier Model-2.mp4
    05:42
  • 2. 02 Preprocess Data For Random Forest Classification-3.mp4
    09:20
  • 3. 03 Train A Random Forest Classifier-4.mp4
    13:08
  • 4. 04 Visualize Feature Importance-5.mp4
    03:58
  • 5. 05 Train Model On Most Important Features-6.mp4
    06:20
  • 6.1 Source Files.zip
  • 6. Source Files.html
  • 1. 01A What Is K Nearest Neighbours-2.mp4
    08:07
  • 2. 01B How K-Nn Works-3.mp4
    04:02
  • 3. 02 Preprocess Data For K Nearest Neighbors-4.mp4
    08:10
  • 4. 03 Train A K Nearest Neighbors Classifier-5.mp4
    05:21
  • 5. 04 Visualize Accuracy Of Different Models-6.mp4
    09:43
  • 6.1 Source Files.zip
  • 6. Source Files.html
  • 1. 00 Project Preview-1.mp4
    02:00
  • 2. 01A What Is Unsupervised Learning-2.mp4
    08:17
  • 3. 01B What Is K Means Clustering-3.mp4
    11:58
  • 4. 02 Load Data-4.mp4
    08:22
  • 5. 03 Preprocess Data For Clustering-5.mp4
    07:42
  • 6. 04 Build K Means Clustering Models-6.mp4
    06:27
  • 7. 05 Visualize Clusters-7.mp4
    10:30
  • 8.1 Source Files.zip
  • 8. Source Files.html
  • 1. 00 Neural Network Applications In Finance.mp4
    07:05
  • 2. 01 What Is Deep Learning.mp4
    07:42
  • 3. 02 What Is A Neural Network.mp4
    08:47
  • 4. 03 What Is A Bernoulli Restricted Boltzmann Machine.mp4
    04:28
  • 1. 00 Project Preview-1.mp4
    01:56
  • 2. 01 Load Data For Neural Network-2.mp4
    09:28
  • 3. 02 Build A Neural Network-3.mp4
    16:40
  • 4.1 Source Files.zip
  • 4. Source files.html
  • 1. 01 Load Data For Classifier.mp4
    07:01
  • 2. 02 Build A Neural Network.mp4
    07:17
  • 3. 03 Evaluate The Neural Network.mp4
    08:22
  • 4.1 Source Files.zip
  • 4. Source Files.html
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    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 74
    • duration 11:54:17
    • Release Date 2024/05/19