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.
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25
Sections
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171
Lectures
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276
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.
+ 01a Introduction to Regression 2 lectures
00 Regression Applications In Finance
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+ 01b Predict Stocks with a Linear Regression Model 6 lectures
00 Project Preview
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01 What Is Linear Regression
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02 Preprocess Data For Machine Learning
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03 Make A Prediction With Linear Regression
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04 Visualize Model Results
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+ 02 Predict Stocks with a Polynomial Regression Model 6 lectures
01 Project Preview
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03 Make A Prediction With A 1D Polynomial
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02 Preprocess Data For Polynomial Regression
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04 Make A Prediction With Higher Dimensionailty Polynomial Regression
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05 Find Best Polynomial Model
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+ 03 Build a Logistic Regression Model 7 lectures
00 Project Preview
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00 What Is Logistic Regression
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02 Preprocess Data For Logistic Regression
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03 Make A Prediction With Logistic Regression
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05 Analyze Model Metrics
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04 Evaluate Model Results
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+ 03b Build an Isotonic Regression Model 6 lectures
00 Project Preview
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00 What Is Isotonic Regression
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01 Load Data For Isotonic Regression
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02 Build An Isotonic Regression Model
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03 Train And Evaluate The Model
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+ 04a Introduction to Trees 2 lectures
00 Tree Applications In Finance
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+ 04b Build a Decision Tree Model 5 lectures
00 Project Preview
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01 Make Decisions With Decision Trees
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02 Preprocess Data For Decision Tree Classification
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03 Build A Decision Tree
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+ 05 Build a Random Forest Model 7 lectures
00 Project Preview
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01 What Is The Random Forest Classifier Model
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02 Preprocess Data For Random Forest Classification
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03 Train A Random Forest Classifier
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04 Visualize Feature Importance
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05 Train Model On Most Important Features
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09 Source Files
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+ 06 Build a K Nearest Neighbors Model 7 lectures
00 Project Preview
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01A What Is K Nearest Neighbours
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01B How K-Nn Works
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02 Preprocess Data For K Nearest Neighbors
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03 Train A K Nearest Neighbors Classifier
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04 Visualize Accuracy Of Different Models
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+ 07 Build a Clustering Classification Model 8 lectures
00 Project Preview
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01A What Is Unsupervised Learning
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01B What Is K Means Clustering
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04 Build K Means Clustering Models
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03 Preprocess Data For Clustering
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02 Load Data
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05 Visualize Clusters
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+ 08 Deep Learning Introduction 4 lectures
00 Neural Network Applications In Finance
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01 What Is Deep Learning
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02 What Is A Neural Network
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03 What Is A Bernoulli Restricted Boltzmann Machine
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+ 09 Build a Bernoulli Restricted Boltzmann Machine (Neural Network) 4 lectures
00 Project Preview
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01 Load Data For Neural Network
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02 Build A Neural Network
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+ 10 Build a Neural Network Classifier 5 lectures
00 Project Preview
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01 Load Data For Classifier
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02 Build A Neural Network
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03 Evaluate The Neural Network
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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
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.