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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Udemy
View courses UdemyStudents 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