Marco Peixeiro – Medium

Marco Peixeiro

Featured Book

Time Series Forecasting in Python

Time Series Forecasting in Python

Build predictive models for time series data using statistical and deep learning methods.

2022

Stories

Published in
Towards Data Science

The Complete Introduction to Time Series Classification in Python

Learn the fundamental concepts of time series classification and apply them in a small project using Python

Jan 14

The Complete Introduction to Time Series Classification in Python

Jan 14

Published in
Towards Data Science

Time-MoE: The Latest Foundation Forecasting Model

Explore the open-source large time model Time-MoE and apply it in a small experiment using Python

Oct 29, 2024

Time-MoE: The Latest Foundation Forecasting Model

Oct 29, 2024

Published in
Towards Data Science

Mixture of KAN Experts for High-Performance Time Series Forecasting

Explore the RMoK model and its architecture, and apply it in a small experiment using Python.

Sep 11, 2024

Mixture of KAN Experts for High-Performance Time Series Forecasting

Sep 11, 2024

Published in
Towards Data Science

Hands-On with Moirai: A Foundation Forecasting Model by Salesforce

Discover the architecture and inner workings of Moirai and apply it in a forecasting project using Python

Aug 20, 2024

Hands-On with Moirai: A Foundation Forecasting Model by Salesforce

Aug 20, 2024

Published in
Towards Data Science

TimeMixer: Exploring the Latest Model in Time Series Forecasting

Discover and understand the inner workings of TimeMixer and apply it in your own forecasting project using Python

Jul 23, 2024

TimeMixer: Exploring the Latest Model in Time Series Forecasting

Jul 23, 2024

Easily Deploy and Serve a LLM with NVIDIA NIM

A hands-on introduction to NVIDIA NIM and how to deploy LLMs on your own infrastructure.

Jul 16, 2024

Easily Deploy and Serve a LLM with NVIDIA NIM

Jul 16, 2024

Published in
Towards Data Science

SOFTS: The Latest Innovation in Time Series Forecasting

Discover the architecture of SOFTS and the novel STAD module, and apply it in a forecasting project using Python.

Jun 11, 2024

SOFTS: The Latest Innovation in Time Series Forecasting

Jun 11, 2024

Published in
Towards Data Science

Kolmogorov-Arnold Networks (KANs) for Time Series Forecasting

Discover the Kolmogorov-Arnold Networks (KANs) and apply them for time series forecasting using Python

May 14, 2024

Kolmogorov-Arnold Networks (KANs) for Time Series Forecasting

May 14, 2024

Published in
Towards Data Science

BiTCN: Multivariate Time Series Forecasting with Convolutional Networks

Discover the BiTCN model for multivariate time series forecasting, explore its architecture, and implement it in Python.

May 1, 2024

BiTCN: Multivariate Time Series Forecasting with Convolutional Networks

May 1, 2024

Published in
Towards Data Science

iTransformer: The Latest Breakthrough in Time Series Forecasting

Discover the architecture of iTransformer and apply the model in a small experiment using Python.

Apr 9, 2024

iTransformer: The Latest Breakthrough in Time Series Forecasting

Apr 9, 2024

Marco Peixeiro

Marco Peixeiro

Book Author

Senior data scientist | Author | Instructor. I write hands-on articles with a focus on practical skills.

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