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Featured Courses

Applied Time Series Forecasting in Python

Master time series forecasting in Python! This 11 hour course covers statistical, deep learning, and state-of-the-art models for time series forecasting, and all are applied in hands-on projects with Python.

$77.00 CAD

Machine Learning Model Deployment with Streamlit

The complete course to build advanced web applications powered by data and AI. Master the fundamental and advanced concepts of Streamlit and deploy your machine learning models to share with the world.

$47.00 CAD

Time Series Classification in Python

Master time series classification in Python! This course covers machine learning and deep learning techniques for classifying time series, all applied in guided hands-on projects in 100% Python.

$77.00 CAD

Praise from my students

⭐⭐⭐⭐⭐

 

"Great unique and efficient approach to teaching data science where Marco merges real-world experience while extracting crucial theoretical materials to get you hooked! Code is also easy to follow and projects are of perfect difficulty for anyone that wants to get started with data science, a very valuable skill to have in today's industry!"

- Eric V.

⭐⭐⭐⭐⭐

 

"This course made learning Streamlit easy and engaging. The lectures were clear and concise, and the coding exercises helped solidify the concepts. Also, the instructor breaks down concepts step-by-step, making easy to understand the process end-to-end. Highly recommend!"

- Jessica D.

My Books

Time Series Forecasting

in Python

Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting.

In Time Series Forecasting in Python you will learn how to:

  • Recognize a time series forecasting problem and build a performant predictive model
  • Create univariate forecasting models that account for seasonal effects and external variables
  • Build multivariate forecasting models to predict many time series at once
  • Leverage large datasets by using deep learning for forecasting time series
  • Automate the forecasting process
Buy Here

Time Series Forecasting Using

Foundation Models

Make accurate time series predictions with powerful pretrained foundation models!

You don’t need to spend weeks—or even months—coding and training your own models for time series forecasting. Learn how to make accurate predictions using flexible pretrained models.

In Time Series Forecasting Using Foundation Models you will discover:

  • The inner workings of large time models
  • Zero-shot forecasting on custom datasets
  • Fine-tuning foundation forecasting models
  • Evaluating large time models
Buy Here

Praise for Time Series Forecasting in Python

⭐⭐⭐⭐⭐

 

"This book has provided me with the most comprehensive introduction to time series analysis. I consider myself a beginner, and this book added a lot of knowledge. The structure of the book is fantastic as well. I highly recommend this book."

- Issa A.

⭐⭐⭐⭐⭐

 

"Great book that starts with very basic things and goes all the way to the very sophisticated concepts. It is very easy to follow, especially python code is clearly explained, almost line by line."

- Arman

 

My books are sold through my publisher, Manning. I am not responsible for distribution or pricing of my books sold through their channels.