Python Crypto Machine Learning
Harnessing Machine Learning for Cryptocurrency Analysis in Python
Created by John Bura
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Skill level
All levels
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Sections
11
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Lectures
42
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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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83
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.
+ 00a Course overview - Python Crypto Machine Learning 2 lectures
00 Course Overview - Python Crypto Machine Learning
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Full Course Source Files
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+ 01 (Prerequisite) Introduction to Machine Learning 8 lectures
00A What Is Machine Learning
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00C What Is Supervised Learning
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00B Types Of Machine Learning Models
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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
00 Regression Introduction
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01 What Is Regression
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02 What Is Linear Regression
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+ 03 Support Vector Machine Machine Learning (Prerequisite) 5 lectures
01 Why Do We Need Svm
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02 How Does Svm Work
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03 Svm On Non-Linear Data
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04 What Are Svm Kernels
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05 What Is The Precision-Recall Score
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+ 04 Compare regression techniques for crypto machine learning 3 lectures
00 Project Overview
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01 Load Eth Data From Yahoo Finance With Python
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02 Build Regression Models To Predict Eth Price
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+ 05 Decision Tree Machine Learning (Prerequisite) 2 lectures
03 Make Decisions With Decision Trees
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04 What Is The Random Forest Classifier Model
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+ 06 Trees - Compare regression techniques for crypto machine learning 2 lectures
05 Build Tree Regression Models To Predict Crypto Price
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06 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 Ml 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 5 lectures
09-00 Project Overview
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09-01 Load And Prepare Crypto Data In Colab
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09-02 Build Classification Models To Predict Stock
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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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+ 10 Build a Support Vector Machine to Predict Trading 6 lectures
10-01 Load Yfinance Data Into Colab
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10-02 Build Trading Signals With Sma Windows
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10-03 Calculate And Visualize Strategy Returns
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10-04 Prepare Data For Machine Learning
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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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Description
About this course.
**Welcome to the Course: Python Crypto Machine Learning**
Embark on a dynamic journey at the intersection of finance, technology, and data science with this comprehensive course on Python Crypto Machine Learning. Whether you're a cryptocurrency enthusiast, trader, or a machine learning enthusiast, this course will guide you through the intricacies of utilizing machine learning techniques to analyze and predict trends in the crypto market.
By the end of this course, you will have gained practical skills in utilizing Python and machine learning to analyze and predict trends in the crypto market. Whether you're a trader, investor, or data science enthusiast, join us on this insightful journey into the world of Python Crypto Machine Learning to uncover valuable insights and make informed decisions in the dynamic realm of cryptocurrencies.
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?
Harnessing Machine Learning for Cryptocurrency Analysis in Python