Machine Learning Courses and Certifications

Computational Social Science Capstone Project

34 ratings

Integrative lab applying computational social science skills: web scraping, network analysis, NLP, and agent-based modeling to analyze social media data and simulate idea diffusion.

• Coursera
• 13 hours 38 minutes
• Self-Paced
• Paid Course

Tópicos em Machine Learning

3709 ratings at FGV Educação Executiva

Introdução à aprendizagem de máquinas, abordando métodos supervisionados e não supervisionados, com foco em SVMs. Oferece uma visão ampla e prática de conceitos fundamentais de Machine Learning.

• FGV Educação Executiva
• 10 hours
• Self-Paced
• Free Certificate

Python for Data Science and Machine Learning Bootcamp

157761 ratings at Udemy

Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more!

• Udemy
• 1 day 54 minutes
• Self-Paced
• Paid Course

機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

2 ratings

探索機器學習的數學基礎,包括學習問題、分類方法、可行性理論、訓練與測試、泛化理論、VC維度等核心概念,為進一步學習演算法奠定基礎。

• Coursera
• 9 hours 41 minutes
• Self-Paced
• Paid Course

Machine Learning e Data Mining in R

Panoramica pratica delle tecniche di apprendimento automatico in R, dalle più interpretabili alle più flessibili, con implementazione continua dei concetti e applicazione a dataset reali.

• Coursera
• 1 day 6 hours 42 minutes
• Self-Paced
• Paid Course

機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

探討機器學習的演算法基礎,包括線性迴歸、邏輯迴歸、分類模型、非線性轉換、過擬合、正則化、驗證等主題,著重實用工具和方法論。

• Coursera
• 9 hours 20 minutes
• Self-Paced
• Paid Course

Algoritmos de negociación basados en machine learning​

38 ratings at Coursera

Introducción a mercados de capital, formación de precios, análisis técnico y algoritmos de negociación con machine learning para estrategias de inversión activas a corto plazo.

• Coursera
• 17 hours 55 minutes
• Self-Paced
• Paid Course

Machine Learning with scikit-learn

14 ratings at DataCamp

Learn how to build and tune predictive models and evaluate how well they'll perform on unseen data.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Machine Learning with Tree-Based Models in Python

In this course, you'll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.

• DataCamp
• 5 hours
• Self-Paced
• Free Trial Available

Preprocessing for Machine Learning in Python

Learn how to clean and prepare your data for machine learning!

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Machine Learning with caret in R

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Machine Learning for Time Series Data in Python

This course focuses on feature engineering and machine learning for time series data.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Feature Engineering for Machine Learning in Python

Create new features to improve the performance of your Machine Learning models.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Machine Learning for Finance in Python

Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Machine Learning with PySpark

Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available