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Blockchain and Cryptocurrency Machine Learning ‑ Build 12 Models, Decentralized Federated Learning and More

Course Details
Trainer Name

Alexandra Kropova

Skill Area

Reviews

4.5 (4 Rating)

Course Requirements

1. Beginner Python coding skills
2. Code editor with Python support
3. Machine learning experience will help but is not required

Course Outcomes

1. Learn about the Blockchain Machine Learning
2. Learn about Crypto Value Prediction with Machine Learning Models
3. Learn about Federated Learning with TensorFlow

Course Curriculum

1 What is XGBoost Machine Learning.mp4

2 Load Stock Data with Yahoo Finance API.mp4

3 Build an XGBoost Regression Model.mp4

1 What is Federated Learning.mp4

2 Generate a dataset.mp4

3 Build a regular model.mp4

4 Visualize model results.mp4

5 Build a client-side model.mp4

6 Build an aggregator model.mp4

7 Generate clients dataset.mp4

8 Execute the federated learning model.mp4

9 Evaluate the model.mp4

1 Deep Learning Differential Privacy Introduction.mp4

2 Build database.mp4

3 02 Build a differential privacy query.mp4

4 Perform PATE analysis.mp4

1 What is Differential Privacy.mp4

2 Differential Privacy Project Introduction.mp4

3 Build an Initial Database.mp4

4 Build a Parallel Database.mp4

5 Build Multiple Parallel Databases.mp4

6 Determine if Query Leaks Private Data.mp4

7 Calculate Sensitivity of Mean Query.mp4

8 Build Local Differential Privacy.mp4

1 What is Nested Cross Validation.mp4

2 Load Stock Data with Yahoo Finance API.mp4

3 Build More Features.mp4

4 Define X and Y.mp4

5 Implement Cross Validated Grid Search.mp4

1 Gradient Boosting Introduction.mp4

2 What is a Light Gradient Boosted Regression Ensemble.mp4

3 Load Stock Data with Yahoo Finance API.mp4

4 Build a Light GBM.mp4

5 Find Best Number of Trees.mp4

6 Find Best Tree Depth.mp4

1 Bagging and Decision Trees Introduction.mp4

2 How Bagging Works.mp4

3 Load Stock Data with Yahoo Finance API.mp4

4 Build X and Y Training and Testing Data.mp4

5 Train and Test a Bagging Classifier.mp4

1 Project Preview.mp4

2 What is a Recurrent Neural Network.mp4

3 Load Stock Data with Yahoo Finance API.mp4

4 Visualize Data.mp4

5 Build a Training Dataset.mp4

6 Build Features and Labels.mp4

7 Build a TensorFlow LSTM Neural Network.mp4

8 Load Test Data with an API.mp4

9 Build Features and Labels for Testing the Neural Network.mp4

10 Visualize Model's Predictions.mp4

1 Load Stock Data with Yahoo Finance API.mp4

2 Build X and Y Training and Testing Data.mp4

3 Build a Neural Network Classifier.mp4

4 Calculate Neural Network Accuracy from Confusion Matrix.mp4

1 What is Deep Learning.mp4

2 What is a Neural Network.mp4

1 Course Overview - Blockchain Machine Learning.mp4

1 What is CatBoost Machine Learning.mp4

2 What is Gradient Boosting.mp4

3 Load Data.mp4

4 Process Data.mp4

5 Build a CatBoost Classifier Model.mp4

1 What is Radius Neighbors Machine Learning.mp4

2 Load Stock Data with Yahoo Finance API.mp4

3 Build X and Y Training and Testing Data.mp4

4 Build a Radius Neighbors Regression Model.mp4

1 What is K Nearest Neighbours.mp4

2 Scrape Crypto Data with Yahoo Finance API.mp4

3 Process Data.mp4

4 Build a K-Nearest Neighbors Classifier.mp4

5 Calculate Error for Different K Values.mp4

1 Project Preview.mp4

2 What is Unsupervised Learning.mp4

3 Collect Crypto Data with Crypto Compare API.mp4

4 Clean Data.mp4

5 Process Text Features.mp4

6 What is Principal Component Analysis.mp4

7 Reduce Data Dimensionality with Principal Component Analysis.mp4

8 What is K Means Clustering.mp4

9 Cluster Cryptocurrencies with K-Means Clustering.mp4

10 Machine Learning with Optimal Number of Clusters.mp4

11 Visualize Clusters.mp4

1 Project Preview.mp4

2 What is Linear Regression.mp4

3 Collect Data from Blockchain API.mp4

4 Join CSV Files with Blockchain Data.mp4

5 Process Data.mp4

6 Visualize Data.mp4

7 Create X and Y.mp4

8 Build a Linear Regression Model.mp4

9 Build a Polynomial Regression Model.mp4

1 Introduction.mp4

2 Intro To Python.mp4

3 Variables.mp4

4 Type Conversion Examples.mp4

5 Operators.mp4

6 Operators Examples.mp4

7 Collections.mp4

8 Lists.mp4

9 Multidimensional List Examples.mp4

10 Tuples Examples.mp4

11 Dictionaries Examples.mp4

12 Ranges Examples.mp4

13 Conditionals.mp4

14 If Statement Examples.mp4

15 If Statement Variants Examples.mp4

16 Loops.mp4

17 While Loops Examples.mp4

18 For Loops Examples.mp4

19 Functions.mp4

20 Functions Examples.mp4

21 Parameters And Return Values Examples.mp4

22 Classes and Objects.mp4

23 Classes Example.mp4

24 Objects Examples.mp4

25 Inheritance Examples.mp4

26 Static Members Example.mp4

27 Summary and Outro.mp4

1 What is Machine Learning.mp4

2 What is Supervised Learning.mp4

1 About Mammoth Interactive.mp4

2 How to Learn Online Effectively.mp4

1 How Blockchain Was Invented.mp4

2 Blockchain Introduction.mp4

3 Blockchain Introduction.mp4

4 What is Bitcoin Mining.mp4

Trainer

Trainer Name

Alexandra Kropova

4.5 Rating
4 Reviews

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This course includes:

  • Duration: 16 Hours 1 Min

  • Skill Level: Beginner

  • Lectures: 126 lessons

  • Enrolled: 18 learners

  • Certificate of Completion

  • Lifetime access

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