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Mammoth Club All levels 25 sections 171 lectures

Deep Learning and Machine Learning for Stocks Masterclass

Build machine learning models for trading stocks.

01
Skill level
All levels
02
Sections
25
03
Lectures
171
04
Instructor
John Bura
What's inside

This course includes.

25
Sections
171
Lectures
276
Resources
Certificate of completion
Included
Mobile and desktop access
Included
AI learning assistance
Included
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Course content

Curriculum & lectures.

13 sections · 69 lectures
+ 01a Introduction to Regression 2 lectures
00 Regression Applications In Finance Locked
Source Files Locked
+ 01b Predict Stocks with a Linear Regression Model 6 lectures
00 Project Preview Locked
01 What Is Linear Regression Locked
02 Preprocess Data For Machine Learning Locked
03 Make A Prediction With Linear Regression Locked
04 Visualize Model Results Locked
Source Files Locked
+ 02 Predict Stocks with a Polynomial Regression Model 6 lectures
01 Project Preview Locked
03 Make A Prediction With A 1D Polynomial Locked
02 Preprocess Data For Polynomial Regression Locked
04 Make A Prediction With Higher Dimensionailty Polynomial Regression Locked
05 Find Best Polynomial Model Locked
Source Files Locked
+ 03 Build a Logistic Regression Model 7 lectures
00 Project Preview Locked
00 What Is Logistic Regression Locked
02 Preprocess Data For Logistic Regression Locked
03 Make A Prediction With Logistic Regression Locked
05 Analyze Model Metrics Locked
04 Evaluate Model Results Locked
Source Files Locked
+ 03b Build an Isotonic Regression Model 6 lectures
00 Project Preview Locked
00 What Is Isotonic Regression Locked
01 Load Data For Isotonic Regression Locked
02 Build An Isotonic Regression Model Locked
03 Train And Evaluate The Model Locked
Source Files Locked
+ 04a Introduction to Trees 2 lectures
00 Tree Applications In Finance Locked
Source Files Locked
+ 04b Build a Decision Tree Model 5 lectures
00 Project Preview Locked
01 Make Decisions With Decision Trees Locked
02 Preprocess Data For Decision Tree Classification Locked
03 Build A Decision Tree Locked
Source Files Locked
+ 05 Build a Random Forest Model 7 lectures
00 Project Preview Locked
01 What Is The Random Forest Classifier Model Locked
02 Preprocess Data For Random Forest Classification Locked
03 Train A Random Forest Classifier Locked
04 Visualize Feature Importance Locked
05 Train Model On Most Important Features Locked
09 Source Files Locked
+ 06 Build a K Nearest Neighbors Model 7 lectures
00 Project Preview Locked
01A What Is K Nearest Neighbours Locked
01B How K-Nn Works Locked
02 Preprocess Data For K Nearest Neighbors Locked
03 Train A K Nearest Neighbors Classifier Locked
04 Visualize Accuracy Of Different Models Locked
Source Files Locked
+ 07 Build a Clustering Classification Model 8 lectures
00 Project Preview Locked
01A What Is Unsupervised Learning Locked
01B What Is K Means Clustering Locked
04 Build K Means Clustering Models Locked
03 Preprocess Data For Clustering Locked
02 Load Data Locked
05 Visualize Clusters Locked
Source Files Locked
+ 08 Deep Learning Introduction 4 lectures
00 Neural Network Applications In Finance Locked
01 What Is Deep Learning Locked
02 What Is A Neural Network Locked
03 What Is A Bernoulli Restricted Boltzmann Machine Locked
+ 09 Build a Bernoulli Restricted Boltzmann Machine (Neural Network) 4 lectures
00 Project Preview Locked
01 Load Data For Neural Network Locked
02 Build A Neural Network Locked
Source Files Locked
+ 10 Build a Neural Network Classifier 5 lectures
00 Project Preview Locked
01 Load Data For Classifier Locked
02 Build A Neural Network Locked
03 Evaluate The Neural Network Locked
Source Files Locked
Description

About this course.

Deep Learning and Machine Learning for Stocks Masterclass

Artificial Intelligence Agents and Neural Networks for Trade

Regression

  • often used to determine how many specific factors influence the price movement of an asset
  • helps investment and financial managers value assets and understand the relationships between variables

Option pricing

  • Decision tree often applied
  • Assumes the value of the underlying asset will rise or fall based on calculated probabilities at maturity date of the European option

Real option analysis

  • Valuing real options must be done with the use of decision trees

Corporate analysis

  • Use different features like product quality, economy status, competitors status, and appeal to determine whether to launch a product

What you can do

  • Maintain products
  • Prevent fraud
  • Trade
  • Analyze news, social media and sentiment
  • Recommend products

Neural networks

  • next-generation tool
  • great potential that can detect subtle non-linear interdependencies and patterns
    • other methods of technical analysis are unable to uncover
Instructors

Taught by people who ship.

John Bura

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?

Build machine learning models for trading stocks.

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