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