IntroductionOne of the most basic concepts in statistics is hypothesis testing. Not just in Data Science, Hypothesis testing is important…

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## Statistics for Analytics and Data Science: Hypothesis Testing and Z-Test vs. T-Test

Overview Hypothesis testing is a key concept in statistics, analytics, and data science Learn how hypothesis testing works, the difference…

Continue Reading## Near zeros of zeta

Just one reason (of very many): it’s not an analytic question. Here are the values of zeta on the 1/2-line…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## Hypothesis Testing — An Introduction

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

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## Hypothesis Analysis Explained

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

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

Continue Reading## 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…

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