Course curriculum

• 1

Welcome to the course!

• Instructor bio - John Bura
• Key pointers for this program
• Joining the Alumni Community
• 2

Introduction to the Course

• Segment - 01 - Course Overview
• Resource
• 3

Project | Track Stocks in Excel

• Segment - 02 - What you will learn
• Segment - 03 - Pull in Stock Data
• Segment - 04 - Pull in more Stock Information
• Segment - 05 - Calculate Equity and Returns
• Segment - 06 - Calculate Selling Strategy
• Segment - 07 - Calculate Total Returns
• Resource
• Source Files
• 4

Other Techniques of Stock Prediction in Excel

• Segment - 08 - Pull Historical Stock Data
• Segment - 09 - Predict Stocks with Moving Average
• Segment - 10 - Visualize Accuracy
• Segment - 11 - What is Exponential Smoothing
• Segment - 12 - Predict Stocks with Exponential Smoothing
• Resource
• Source File
• 5

Linear Regression on Stock Data in Excel

• Segment - 13 - What you will learn
• Segment - 14 - Pull Historical Stock Data
• Segment - 15 - What is Linear Regression
• Segment - 16 - Linear Regression on Stock Data in Excel
• Segment - 17 - Check Accuracy of Linear Regression
• Resource - One
• Resource - Two
• Source File
• 6

Machine Learning Project Introduction

• Segment - 18 - What you will learn
• Segment - 19 - Build Models on the Web
• Segment - 20 - What Libraries will we use
• Resource - One
• Resource - Two
• Source File
• 7

Your First Machine Learning Stock Prediction Project

• Segment - 21 - Scrape Data via API
• Segment - 22 - Define Variables
• Segment - 23 - Split Dataset for Training and Testing
• Segment - 24 - Build a Linear Regression Model
• Segment - 25 - Predict Stock Prices
• Segment - 26 - Calculate Model Accuracy
• Segment - 27 - Predict to Buy or to Sell
• Source File
• 8

Deep Learning Project for Stock Market Prediction

• Segment - 28 - Recurrent Neural Networks
• Segment - 29 - Import Stock Data
• Segment - 30 - What is Shaping Data
• Segment - 31 - Shape Training and Testing Data
• Segment - 32 - What is Scaling Data
• Segment - 33 - Scale Data for Training
• Segment - 34 - What is Keras
• Segment - 35 - Build a Keras Model
• Segment - 36 - Scale and Shape Data for Testing
• Segment - 37 - Test the Model
• Resource - One
• Resource - Two
• Resource - Three
• Resource - Four
• Source File