Remove Data Wrangling Remove Decision Trees Remove ML
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Supercharge your skill set with 9 free machine learning courses

Data Science Dojo

The course covers topics such as linear regression, logistic regression, and decision trees. Machine Learning for Data Science by Carlos Guestrin This is an intermediate-level course that teaches you how to use machine learning for data science tasks. Step up your game and make accurate predictions based on vast datasets.

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Training Sessions Coming to ODSC APAC 2023

ODSC - Open Data Science

Build Classification and Regression Models with Spark on AWS Suman Debnath | Principal Developer Advocate, Data Engineering | Amazon Web Services This immersive session will cover optimizing PySpark and best practices for Spark MLlib. Finally, you’ll explore how to handle missing values and training and validating your models using PySpark.

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Best Resources for Kids to learn Data Science with Python

Pickl AI

Begin by employing algorithms for supervised learning such as linear regression , logistic regression, decision trees, and support vector machines. Machine Learning: Data Science aspirants need to have a good and concise understanding on Machine Learning algorithms including both supervised and unsupervised learning.