
Begin with a hands-on project on cryptocurrency data visualization and bitcoin price prediction, guiding you to import pandas, Prophet, and Plotly Express in Google Colab for plotting and forecasting.
Import and load the bitcoin dataset into Google Colab, explore its open, high, low, close, and volume data from 2015–2020, using closing price as the representation with pandas groupby.
Visualize the dataset by creating an offline table of the top 10 rows, and explore color scales like plasma, viridis, and blues in Plot Express to produce a multi-color table.
Analyze transaction volume and price across 12 cryptocurrencies over five years, visualizing with box, violin, and pie charts to reveal statistical details and market shares.
Visualize bitcoin trends with an ideograph area graph and line graph showing close price and transaction volume, revealing dramatic growth in 2017 and subsequent liquidity trends.
Create a candlestick chart of bitcoin using open, high, low, and close data to visualize financial performance, interpret green vs red candles, and identify key peaks like December 2017.
Explore how Facebook Prophet uses additive models with seasonalities to forecast Bitcoin prices, providing predictive value with upper and lower limits and handling outliers.
Prepare bitcoin historical data by selecting date and close price, create a two-column data frame with date as ds and close as y, ready for the Facebook profit model.
fit preprocessed data to a facebook prophet time series model to create your first prophet model and forecast future values.
Evaluate bitcoin forecasts using Google Sheets by importing October 2020 forecast and actual data, comparing predicted, low, and high values, and visualizing with a line chart.
On 16th March 2020, Bitcoin was $5000. Today, Just 1 year later, Bitcoin was trading over $60,000 during its peak which is more than 1200% return in just 1 year. Just Imagine, if you had invested in Bitcoin 1 year ago, you would have multiplied your wealth by 12 times.
Missed it? Well, that was past. Now let’s talk about the FUTURE.
What if we knew what the Price of Bitcoin could be 30 days from now?
What if there was a way to predict the price of Bitcoin a few weeks into the future?
With the advancement in Machine Learning and Time-series Forecasting, we can actually predict the price of Bitcoin or any other cryptocurrency or perhaps even your favourite stocks like TSLA, AAPL, AMZN, GOOG with fairly good accuracy.
So,
Would you like to learn to build a Facebook Prophet Machine Learning Model inorder to Forecast the Price of Bitcoin 30 days into the future?
Would you like to learn to Visualize the entire market of Cryptocurrencies in order to find hidden patterns?
Would you like to trade Cryptocurrencies like Bitcoin but don't know where to start?
If the answer to any of the questions is "YES" then this course is for you.
This is a Practical, Hands-on, Guided Course where you will be writing the codes alongside the lectures and Visualizing Cryptocurrencies using Plotly Express and Predicting the price of Bitcoin 30 days into the Future using Facebook Prophet Time-series Machine Learning Algorithm.
Let AI (not gurus) tell you which coin to buy and which not to buy. Explore the Entire Cryptocurrency market and learn to Visualize and Forecast the Price of Bitcoin. Learn to use AI & Data science to decide What to buy (using Data Visualization) and when to buy (Machine learning Forecasting).
This is the only course in Bitcoin and Cryptocurrency that you need.
In the next 2 hours, learn practical real-life data visualization and Machine learning skills and Forecast the Price of Bitcoin 30 days into the future.
Learn to make forecasts using Facebook Prophet
Learn to find patterns using Data Visualization with Plotly Express with just 1 line of Code
Learn to create Machine learning Time-series Model
New to Python? No problem. This course is beginner-friendly. You will learn everything you need to know. I will guide you through every single line of code and every single step. No extra software needed. You just need a reliable Internet connection and you are good to go.
What will you learn?
Importing all the necessary libraries including Facebook Prophet for Forecasting and Plotly Express for Data Visualization
Importing the Dataset and Exploring it
Visualizing the 5 years Historical Performance of 12 Major Cryptocurrencies using Box plot, Pie Chart & Violin plot
Comparing all the major Cryptocurrencies using Scatter Plots
Bitcoin Data Visualization - Visualizing historical Volume & Price using Area graph, Line Graph, Violin Chart
Bitcoin Financial Data Visualization- creating a Candlestick chart
Introduction to Facebook Prophet- Everything you need to know
Data Preparation
Facebook Prophet Time-series Model Creation
Forecasting the Price of Bitcoin 30 days into the future
Downloading the Forecast Data for Proper evaluation
Extracting the Actual Price of Bitcoin using Google Finance within Google Sheets
Comparing the Forecast Price against the Actual Price of Bitcoin
We will be using 5-year Historical Data (Daily Price & Volume) of 12 Major Cryptocurrencies that represents well over 95% of the Cryptocurrency Market: Bitcoin, Litecoin, Ethereum, Ripple, Dash, Tether, Tron, Stellar, Bitcoin Cash, Binance coin, Cardano & Chainlink.
So What are you waiting for?
Grab a Coffee, Open your Laptop and click on the "Enroll Now" button and get this course right now.
P.S: Although this course deals in Cryptocurrencies and teaches you to Forecast the Price of Bitcoin, it should be noted that this course is for educational purposes only and is not a piece of Financial Advice. Our goal as Instructors is to provide you with skill so that you can make an informed decision.
All the best and Happy Learning.