Forecast Crypto Market with Time Series & Machine Learning

Learn how to forecast cryptocurrency market with Prophet model, time series decomposition, Random Forest, and XGBoost
3.90 (10 reviews)
Udemy
platform
English
language
Financial Modeling & Ana
category
instructor
Forecast Crypto Market with Time Series & Machine Learning
4 042
students
3.5 hours
content
Feb 2025
last update
$29.99
regular price

Why take this course?

🌟 Forecast Crypto Market with Time Series & Machine Learning 🌟


Course Headline:

Master Cryptocurrency Forecasting with Prophet Model, Time Series Decomposition, Random Forest, and XGBoost


Course Description:

🚀 Embark on a Data-Driven Adventure into Crypto Market Forecasting! 🚀

Welcome to the "Forecast Crypto Market with Prophet, Time Series & Machine Learning" course – your ultimate guide to understanding and predicting cryptocurrency market trends using advanced forecasting models. This project-based course is designed for enthusiasts and professionals looking to venture into the intriguing world of crypto market analysis.

📊 What You'll Learn:

Introduction to Crypto Market Forecasting: 🎓

  • Get acquainted with the unique characteristics of the cryptocurrency market.
  • Explore the forecasting models you'll be using, including Prophet, time series decomposition, and machine learning with Random Forest and XGBoost.
  • Dive into the essential mathematics that powers these models, ensuring a solid foundation for your forecasting journey.

Understanding Market Dynamics: 📈

  • Learn about factors such as liquidity, market cap, transaction volume, and circulating supply that can influence cryptocurrency prices.
  • Understand the significance of historical data in uncovering trends and patterns that predict future movements.

Hands-On Project Work: 🖥️

  • Set up your workspace using Google Colab – the powerful, open-source platform for machine learning.
  • Download and prepare datasets from Kaggle, your source for real-world cryptocurrency data.
  • Engage in a three-part project:
    1. Forecasting with Prophet
    2. Time Series Decomposition Analysis
    3. Machine Learning Predictions using Random Forest & XGBoost

Advanced Analytics and Model Evaluation: 🔍

  • Gain insights into data cleaning, from handling missing values to identifying outliers.
  • Analyze daily and annual price volatility to understand market behavior.
  • Calculate moving averages and explore correlations between price and volume.
  • Utilize TensorFlow to delve deeper into the dataset's nuances.

Building & Evaluating Forecasting Models: 🏗️🎯

  • Construct forecasting models using Prophet, time series decomposition, and machine learning algorithms.
  • Evaluate model performance through prediction interval coverage, component analysis, and feature importance analysis to ensure the accuracy and reliability of your forecasts.

Why Forecast the Crypto Market? 🤔

Accuracy & Predictive Power: 🧮 Learn how combining cryptocurrency with big data technology, particularly machine learning, can lead to more accurate predictions and data-driven decision-making.

🤔 The Role of Patterns & Trends: 📊 Understand the importance of identifying patterns and trends from historical data as indicators for future market movements.

📈 Real-World Applications: 🌍 Apply your new skills to predict market trends, potentially informing investment decisions and strategies in an exciting and fast-paced field.


What You'll Master:

Data Acquisition & Preparation: 🛠️

  • Finding and downloading datasets from Kaggle.
  • Uploading and managing data within Google Colab Studio.
  • Data cleaning to address missing and duplicate values, as well as outlier detection.

Advanced Analysis Techniques: 🔎

  • Visualizing volatility and market trends.
  • Calculating moving averages and assessing price-volume correlations.

Forecasting Model Construction: 🏗️

  • Building forecasting models using Prophet, time series decomposition, and machine learning algorithms (Random Forest & XGBoost).

Model Evaluation & Analysis: 🧪

  • Understanding prediction interval coverage.
  • Conducting component analysis for model integrity.
  • Performing feature importance analysis to determine the driving factors of market movements.

Enroll now and join a community of forward-thinking analysts who are ready to harness the power of machine learning to navigate and predict the cryptocurrency markets with confidence! 💫🚀


Your Instructor: 🧑‍🏫 Led by [Instructor Name], an expert in data analysis and machine learning, you'll receive guidance and mentorship throughout this course. With a deep understanding of the financial markets and the technical know-how, [Instructor Name] will ensure you grasp the concepts and apply them effectively to real-world scenarios.


Embark on your journey to becoming a crypto market forecasting expert today! 🚀💫

Course Gallery

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5532648
udemy ID
31/08/2023
course created date
03/09/2023
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