Remove Data Preparation Remove EDA Remove ML Remove Supervised Learning
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Artificial Intelligence Using Python: A Comprehensive Guide

Pickl AI

Here are a few of the key concepts that you should know: Machine Learning (ML) This is a type of AI that allows computers to learn without being explicitly programmed. Machine Learning algorithms are trained on large amounts of data, and they can then use that data to make predictions or decisions about new data.

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Roadmap to Learn Data Science for Beginners and Freshers in 2023

Becoming Human

For Data Analysis you can focus on such topics as Feature Engineering , Data Wrangling , and EDA which is also known as Exploratory Data Analysis. First learn the basics of Feature Engineering, and EDA then take some different-different data sheets (data frames) and apply all the techniques you have learned to date.

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Harnessing Machine Learning on Big Data with PySpark on AWS

ODSC - Open Data Science

Our focus will be hands-on, with an emphasis on the practical application and understanding of essential machine learning concepts. Attendees will be introduced to a variety of machine learning algorithms, placing a spotlight on logistic regression, a potent supervised learning technique for solving binary classification problems.