Build machine learning models cont'd
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Created by John Bura
01
Skill level
All levels
02
Sections
11
03
Lectures
42
04
Instructor
John Bura
What's inside
This course includes.
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11
Sections
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42
Lectures
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41
Resources
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Certificate of completion
Included
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Mobile and desktop access
Included
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AI learning assistance
Included
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Course content
Curriculum & lectures.
+ Python Crypto Machine Learning 1 lecture
00a Course overview - Python Crypto Machine Learning
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+ 01 (Prerequisite) Introduction to Machine Learning 8 lectures
00A What is machine learning
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00B Types of machine learning models
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00C What is supervised learning
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01 How does a machine learning agent learn
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02 What is inductive learning
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03 Performance of a machine learning algorithm
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04 Handle noise in data
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05 Powerful tools with machine learning libraries
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+ 02 Overview of Regression Models (Prerequisite) 3 lectures
02-00 Regression introduction
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02-01 What is regression
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02-02 What is linear regression
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+ 03 Support Vector Machine Machine Learning (Prerequisite) 5 lectures
03-03A Why do we need SVM
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03-03B How does SVM work
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03-03C SVM on non-linear data
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03-03D What are SVM Kernels
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03-03E What is the precision-recall score
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+ 04 Compare regression techniques for crypto machine learning 3 lectures
04-00 Project overview - regression machine learning for crypto stocks
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04-01 Load eth data from yahoo finance with python
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04-02 Build regresssion model to predict eth price
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+ 05 Decision Tree Machine Learning (Prerequisite) 2 lectures
05-03 Make decisions with decision trees
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05-04 What is the random forest classsifier model
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+ 06 Trees - Compare regression techniques for crypto machine learning 2 lectures
06-03 Build tree regression models to predict crypto price
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06-04 Compare regression model results for asset prediction
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+ 07 Build an AdaBoost machine learning model for stock prediction 4 lectures
07-01 Project overview - adaboost stock prediction
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07-02 Build stock dataset for machine learning
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07-03 Build an adaboost regression machine learning model for stock prediction
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07-04 Find best MI Model with optimal number of estimators
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+ 08 Overview of Classification Models 2 lectures
08-00 What is naive bayes machine learning
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08-01 What is gaussian probability distribution
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+ 09 Compare classification models for crypto machine learning 6 lectures
09-00 Project overview - classification machine learning for crypto stocks
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09-01 Load and prepare crypto data in colab
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09-02 Build classsification models to predict crypto price
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09-03 Build tree classification models to predict crypto price
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09-04 Compare classification model results with numpy and pandas]
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Classification source files
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+ 10 Build a Support Vector Machine to Predict Trading 6 lectures
10-01 Load Yfinance data into colab
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10-03 Calculate and visualize strategy returns
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10-05 Build a support vector classifier with sklearn
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10-06 Calculate and visualize returns from model
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10-2 Build trading signals with sma windows
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10-4 Prepare data for machine learning
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Description
About this course.
Welcome to Build Machine Learning Models Continued!
Continue your journey in machine learning with a specialized focus on crypto markets. In this advanced course, you'll delve into the intricacies of building machine learning models tailored for cryptocurrency analysis. Gain hands-on experience with regression, classification, and ensemble techniques to predict and understand crypto market trends.
Elevate your crypto market analysis skills with this advanced "Build Machine Learning Models Continued" course. Gain practical insights and hands-on experience in applying machine learning to cryptocurrency data, empowering you to make informed decisions in the dynamic world of crypto trading. Enroll now to take your machine learning journey to the next level.
Instructors
Taught by people who ship.
John Bura
Founder and CEO of Mammoth Club and Course Pro, the #1 AI-powered Learning Management System for course and content development, training and evaluation.
Ready to start building?
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