Machine Learning

There are four measurement scales: nominal, ordinal, interval and ratio. These are simply ways to categorize different types of variables…

100 Days of ML Coding. Contribute to Avik-Jain/100-Days-Of-ML-Code development by creating an account on GitHub.

In this article, we give you statistics Hypothesis Testing Cheat Sheet rules and steps for understanding examples of the Null Hypothesis…

- The document discusses simple linear regression analysis and how to use it to predict a dependent variable (y) based on an independent variable (x). - Key points covered include the simple linear regression model, estimating regression coefficients, evaluating assumptions, making predictions, and interpreting results. - Examples are provided to demonstrate simple linear regression analysis using data on house prices and sizes. - Download as a PPT, PDF or view online for free

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Interesting picture summarizing several types of techniques used in machine learning, contrasting unsupervised learning with unsupervised learning and reinforcement learning. The difference between supervised and unsupervised learning is described here. See also this article about how this relates to reinforcement learning. The above picture was posted here. The author mentions the following techniques: supervised learning Naive… Read More »Machine Learning with Applications in One Picture

Page with free resources for learning data science including whitepapers, infographics and blog posts, lessons, and pages. You can download them right now.

Hypothesis testing is data analysis technique which is used to to make inferences about the sample data from a larger population.

4 Types of Machine Learning (Supervised, Unsupervised, Semi-supervised & Reinforcement)

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