Bitcoin Analysis With Python And Facebook Prophet

Learn Python Tensorflow Time Series, Facebook Prophet & Forecasting

What you'll learn
Use Statsmodels to Analyze Time Series Data
Pandas for Data Manipulation
Pandas for Data Visualization
NumPy and Python for Numerical Processing
Requirements
General Python Skills (knowledge up to functions)
Description
Bitcoin Analysis with Python and Facebook ProphetWelcome to the most exciting online course about Forecasting Models in Python. I will show everything you need to know to understand the now and predict the future.Forecasting is always awesome - knowing what will happen usually drops jaws and earns admiration. On top, it is fundamental in the business world. Companies always provide Revenue growth and EBIT estimates, which are based on forecasts. Who is doing them? Well, that could be you!It is fundamental that you know why a model makes sense and the underlying assumptions behind it. I will explain to you each model using words, graphs, and metaphors, leaving math and the Greek alphabet to a minimum.WE CODE TOGETHER LINE BY LINEI will guide you through every step of the way. I will also explain all parameters and functions that you need to use, step by step.THE FINAL REASON IS THAT YOU PRACTICE, PRACTICE, PRACTICE.For each algorithm, there is a challenge. This means that each technique has 2 case studies. The goal is that you apply immediately what you have learned. I give you a dataset and a list of actions you need to take to solve it. I think it is the best way to really cement all the techniques in you.

Overview

Section 1: 00a Course Overview

Lecture 1 00 Project Preview

Section 2: 01 Mammoth Interactive Courses Introduction

Lecture 2 00 About Mammoth Interactive

Lecture 3 01 How To Learn Online Effectively

Lecture 4 Source Files

Section 3: 02 What is Machine Learning (Prerequisite)

Lecture 5 01 What is Machine Learning

Lecture 6 02 Types of Machine Learning Models

Lecture 7 03 What is Supervised Learning

Section 4: 03 Introduction to Python (Prerequisite)

Lecture 8 00. Intro To Course And Python

Lecture 9 01. Variables

Lecture 10 02. Type Conversion Examples

Lecture 11 03. Operators

Lecture 12 04. Collections

Lecture 13 05. List Examples

Lecture 14 06. Tuples Examples

Lecture 15 07. Dictionaries Examples

Lecture 16 08. Ranges Examples

Lecture 17 09. Conditionals

Lecture 18 10. If Statement Examples

Lecture 19 11. Loops

Lecture 20 12. Functions

Lecture 21 13. Parameters And Return Values Examples

Lecture 22 14. Classes And Objects

Lecture 23 15. Inheritance Examples

Lecture 24 16. Static Members Examples

Lecture 25 17. Summary And Outro

Section 5: 04 Build Time Series Analysis Models

Lecture 26 01 Load Crypto Prices Dataset

Lecture 27 02 Visualize Bitcoin Price Trend

Lecture 28 03 Predict Price With Facebook Prophet

Lecture 29 04 Analyze Model Performance

Lecture 30 05 Visualize Model Results

Lecture 31 06 Predict Monthly Trend

Lecture 32 07 Predict Weekly Trend

Lecture 33 08 Compare Final Stock Price Of Different Strategies

Lecture 34 Source Files

Python Developers interested in learning how to forecast time series data,Professionals looking to learn about Demand Forecasting and Time Series