scikit-learn Courses and Certifications

Scikit-Learn For Machine Learning Classification Problems

Learn to build and train classifier models using the Scikit-Learn library in this 1-2 hour Coursera Project Network course. Explore various machine learning algorithms.

• Coursera
• 1 hour 48 minutes
• On-Demand
• Paid Course

Scikit-Learn to Solve Regression Machine Learning Problems

Learn to build and train regression models using Scikit-Learn in this 1-2 hour Coursera Project Network course. Ideal for enhancing your portfolio and job interviews.

• Coursera
• 1 hour 56 minutes
• On-Demand
• Paid Course

Predict Career Longevity for NBA Rookies using Scikit-learn

Learn to predict NBA rookies' career longevity using Python and Scikit-learn with Coursera Project Network. Analyze player stats and build a binary classification model.

• Coursera
• 1 hour 55 minutes
• On-Demand
• Paid Course

Pythonで機械学習：scikit-learnで学ぶ識別入門

2017 ratings at Udemy

pythonの機械学習ライブラリscikit-learnを使って，識別の基本を徹底的にマスターしよう！

• Udemy
• 9 hours 13 minutes
• On-Demand
• Paid Course

Using Python for Research

12 reviews

Take your introductory knowledge of Python programming to the next level and learn how to use Python 3 for your research.

• edX
• 12 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Introducción a la Inteligencia Artificial: Principales Algoritmos

23 reviews

Aprende cómo funcionan los algoritmos de inteligencia artificial que hacen posible los chatbos, automóviles autónomos, el reconocimiento de voz y más.

• edX
• 4 weeks, 4-5 hours a week
• On-Demand
• Free Online Course (Audit)

Python for Data Science and Machine Learning Bootcamp

141966 ratings at Udemy

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

• Udemy
• 1 day 54 minutes
• On-Demand
• Paid Course

DeepLearning.AI;  Stanford

Supervised Machine Learning: Regression and Classification

18951 ratings at Coursera

Learn to build machine learning models in Python with DeepLearning.AI's 3-week course. Taught by AI visionary Andrew Ng, you'll master supervised learning techniques for real-world applications.

• Coursera
• 1 day 9 hours 19 minutes
• On-Demand
• Free Online Course (Audit)

The Complete Machine Learning Course with Python

7227 ratings at Udemy

Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More!

• Udemy
• 17 hours 19 minutes
• On-Demand
• Paid Course

Introduction to Data Science using Python (Module 1/3)

7138 ratings at Udemy

Dive into Data Science with this beginner-friendly course. Learn the basics, understand buzzwords, and get hands-on with Python and Scikit Learn. Offered in 3 modules.

• Udemy
• 2 hours 32 minutes
• On-Demand
• Free Online Course

Data Science: Supervised Machine Learning in Python

3198 ratings at Udemy

Full Guide to Implementing Classic Machine Learning Algorithms in Python and with Scikit-Learn

• Udemy
• 6 hours 24 minutes
• On-Demand
• Paid Course

Machine Learning: Concepts and Applications

16 ratings at Coursera

Explore machine learning theory and practice with Python in this 9-week course from the University of Chicago. Learn to use industry-standard tools and apply techniques like regression, SVMs, and deep learning.

• Coursera
• 1 day 13 hours 39 minutes
• On-Demand
• Free Online Course (Audit)

Machine Learning- From Basics to Advanced

2215 ratings at Udemy

A beginners guide to learn Machine Learning (including Hands-on projects - From Basic to Advance Level)

• Udemy
• 6 hours 49 minutes
• On-Demand
• Paid Course

Feature Selection for Machine Learning

2159 ratings at Udemy

Learn filter, wrapper, and embedded methods, recursive feature elimination, exhaustive search, feature shuffling & more.

• Udemy
• 5 hours 50 minutes
• On-Demand
• Paid Course

Complete Data Science Training with Python for Data Analysis

1950 ratings at Udemy

Beginners python data analytics : Data science introduction : Learn data science : Python data analysis methods tutorial

• Udemy
• 12 hours 56 minutes
• On-Demand
• Paid Course