# hypothesis

## A Gentle Introduction to Bayes Theorem for Machine Learning

Bayes Theorem provides a principled way for calculating a conditional probability. It is a deceptively simple calculation, although it can…

## Maximilian Strauß

Speeding up Python Code: Fast Filtering and Slow LoopsList comprehensions, boolean indexing and…Christmas Games: How random are dice?Analyzing dice randomness with openCV and…

## Log Book —Guide to Hypothesis Testing

Log Book —Guide to Hypothesis TestingThis is a guide to Hypothesis testing. I have tried to cover the basics of…

## Why are p-values like needles? It’s dangerous to share them!

It baffles me. Argument 2 (against)Argument 2 (potential for misuse) is fair, but it’s not the p-value’s fault. It turns…

## Hypothesis Testing — An Introduction

To solve such problems we always start with a null hypothesis, and we assume that the null hypothesis is true…

## All the algebra you need to know about Linear Regression to be interview-ready

Photo by John Moeses Bauan on UnsplashAll the algebra you need to know about Linear Regression to be interview-readyNathan ToubianaBlockedUnblockFollowFollowingMay 23Linear…

## All you need to know about Linear Regression to be interview-ready

All you need to know about Linear Regression to be interview-readyNathan ToubianaBlockedUnblockFollowFollowingMay 23Linear Regression (LR) is one of the most…

## Precision and Recall Trade-off and Multiple Hypothesis Testing

Measured chance probability of rejecting the " "null: %. 3f (should be %. 3f)" % (type_I_error_p, alpha))> 5000 out of…

## The Power of A/B Testing

Because power is defined as 1 – beta, it only makes sense to talk about power when the null is…

## Learning Theory: (Agnostic) Probably Approximately Correct Learning

The definition states that a hypothesis class is PAC learnable if there exists a function m_H and an algorithm that…

## What is a Hypothesis in Machine Learning?

Supervised machine learning is often described as the problem of approximating a target function that maps inputs to outputs. This…

## Why Doing Good Science is Hard and How to Do it Better

Why Doing Good Science is Hard and How to Do it BetterBobby LindseyBlockedUnblockFollowFollowingFeb 25Photo by Steve Johnson on UnsplashDoing good science is…

## Essentials of Hypothesis Testing and the Mistakes to Avoid

Although studies can definitely be affected by the data collection process, the majority of this article is going to focus…

## Hypothesis testing in Machine learning using Python

By definition of the mean, the following relationship must hold: The sum of all values in the data must equal…

## Hypothesis Analysis Explained

If the answer is Yes then use Z statistics, otherwise use Student T statistics. Each of the test statistics have…

## How to A/B test without spending a dime

the fun part ????Collect and analyze dataYou’ll want to pull data and calculate your previously defined success metric for both version…

## Should you even do a hypothesis test?

Or, to elaborate slightly, “no, you should look at effect sizes and the precision of your estimate”.Let’s look at what…

## Statistics for Data Scientists in 5 mins

This means that alpha level of 1% requires more statistical evidence than 5%.Why is 5% used as significance level so…

## Christmas Games: How random are dice?

For the evaluation, we will use two key methods: Circle detection to count the pips on images of dice and…

## Which hypothesis test to perform?

Based on the data, can we conclude that the mean intraocular pressure of the population differs from 14 mm Hg?Step…

## How people from different cities interact in the freeCodeCamp chatrooms

Applying this to our scenario, if the probability of the mentions coming from the same distribution is below a threshold…

## Linking Data Science Activities to Business Initiatives Using the Hypothesis Development Canvas

Figure 2: “Thinking Like A Data Scientist” Process  The Hypothesis Development Canvas also ensures that data science work directly supports…