Regression Algorithms Courses and Certifications

Institute for Advanced Study

Assumption-Free Prediction Intervals for Black-Box Regression Algorithms - Aaditya Ramdas

Explore assumption-free prediction intervals for regression algorithms, covering split conformal prediction, CQR, full conformal prediction, and jackknife intervals with practical examples.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Video

Intermediate Regression in R

23 ratings at DataCamp

Learn to perform linear and logistic regression with multiple explanatory variables.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Machine Learning In The Cloud With Azure Machine Learning

252 ratings at Udemy

Introduction to machine learning in the cloud with Azure Machine Learning.

• Udemy
• 3 hours 1 minute
• On-Demand
• Paid Course

Data Analysis with Python Project

Comprehensive exploration of data analysis techniques, from classification to outlier detection, empowering learners to conduct real-world projects and make data-driven decisions.

• Coursera
• 18 hours 11 minutes
• On-Demand
• Paid Course

Great Learning

Logistic Regression on Customer Data - Machine Learning Algorithms Using Python

In this video, the we will walk you through a case study on Customer data of a financial institution. The objective of the case study is to reduce expenses by targeting only those customers who are likely to subscribe using predictive modeling.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

Simons Institute

Efficient Algorithms for Outlier-Robust Regression

Explore advanced techniques for outlier-robust regression, focusing on efficient algorithms and their applications in high-dimensional statistics and machine learning.

• YouTube
• 41 minutes
• On-Demand
• Free Video

Association for Computing Machinery (ACM)

Algorithms for Heavy-Tailed Statistics - Regression, Covariance Estimation, and Beyond

Explore advanced statistical techniques for handling heavy-tailed data, including regression and covariance estimation, with a focus on SOS assumptions and median of means framework.

• YouTube
• 20 minutes
• On-Demand
• Free Video

Simons Institute

Fast Algorithms for Regression Problems

Explore efficient algorithms for p-norm regression, overcoming challenges in large-scale data analysis and optimization with recent breakthroughs and generalizable techniques.

• YouTube
• 49 minutes
• On-Demand
• Free Video

Great Learning

Python for Data Science - Data Science with Python - Python for Data Analysis

Data science with python starts focuses on an introduction to Python and Python IDEs, followed by looking at data structures in Python. Then we look at object-oriented programming.

• YouTube
• 10 hours 56 minutes
• On-Demand
• Free Video

Python ile Makine Öğrenmesi

4900 ratings at Udemy

Yapay zeka, veri bilimi ve machine learning kavramlarını gerçek hayat problemleri üzerinden uygulayarak öğreneceksiniz.

• Udemy
• 22 hours 21 minutes
• On-Demand
• Paid Course

Steve Brunton

Koopman Spectral Analysis - Overview

Explore Koopman operator theory for dynamical systems, its recent resurgence, and applications like Dynamic Mode Decomposition in this comprehensive overview.

• YouTube
• 28 minutes
• On-Demand
• Free Video

Inteligência Artificial e Machine Learning: O Guia Completo

1550 ratings at Udemy

Quer estudar IA e não sabe por onde começar? Aqui você aprende tudo o que precisa saber sobre a área na teoria e prática

• Udemy
• 1 day 1 hour 20 minutes
• On-Demand
• Paid Course

Machine Learning e Data Science: O Guia para Iniciantes

810 ratings at Udemy

Aprenda tudo o que você precisa saber para iniciar seus estudos em Machine Learning e Data Science! Teoria e prática!

• Udemy
• 1 hour 54 minutes
• On-Demand
• Free Online Course

Machine Learning e Data Science com Weka e Java - Completo

868 ratings at Udemy

Aprenda as técnicas que o mundo real exige e torne-se um profissional competitivo na área de Inteligência Artificial!

• Udemy
• 1 day 3 hours 59 minutes
• On-Demand
• Paid Course

Обучение на размеченных данных

2 reviews

Изучение алгоритмов машинного обучения для решения задач классификации и регрессии, включая линейные модели, деревья решений, композиции и нейронные сети.

• Coursera
• 5 weeks
• Finished
• Free Online Course (Audit)