OpinionData Scientists Are The New Investment BankersWhile attending a top business…I Followed Data Scientists’ Resumes To See What They Did…
Continue Readingtest
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 ReadingTest-Time Augmentation For Structured Data With Scikit-Learn
Last Updated on June 1, 2020Test-time augmentation, or TTA for short, is a technique for improving the skill of predictive…
Continue ReadingNate Peifer
Embracing Bayesian A/B Test Measurement (and Ditching P Values)Turning inconclusive results into…Streamlining Design and Maximizing Success for Agile Test and LearnA simple approach…
Continue ReadingAntoine Soetewey
The complete guide to clustering analysisk-means and hierarchical clustering by hand and in RAn efficient way to install and load R packagesR…
Continue ReadingUnderfitting vs. Overfitting (vs. Best Fitting) in Machine Learning
The Challenge of Underfitting and Overfitting in Machine Learning You’ll inevitably face this question in a data scientist interview: Can…
Continue ReadingUsing PractRand to test an RNG
Yesterday I wrote about my experience using NIST STS to test an entropy extractor, a filtering procedure that produces unbiased…
Continue ReadingTesting entropy extractor with NIST STS
Around this time last year I wrote about the entropy extractor used in μRNG. It takes three biased random bit…
Continue ReadingHow to Fix k-Fold Cross-Validation for Imbalanced Classification
Last Updated on January 13, 2020Model evaluation involves using the available dataset to fit a model and estimate its performance…
Continue ReadingWhat is the Chi-Square Test and How Does it Work? An Intuitive Explanation with R Code
Step 1: First, import the data Step 2: Validate it for correctness in R: View the code on Gist. Output: #Count…
Continue ReadingDSAT – First Ever Adaptive Learning Platform for Data Science Professionals
We believe that a single product similar to GMAT can revolutionize this entire industry. After the successful launch of Datamin,…
Continue ReadingTesting Rupert Miller’s suspicion
I was reading Rupert Miller’s book Beyond ANOVA when I ran across this line: I never use the Kolmogorov-Smirnov test…
Continue ReadingData Engineering Blog
Transparent Schema Registry for Kafka StreamsPainlessly test Kafka Streams with AvroFluent Kafka Streams TestsA Java test DSL for Kafka StreamsRunning R on AWS LambdaR is…
Continue ReadingTesting Cliff RNG with DIEHARDER
My previous post introduced the Cliff random number generator. The post showed how to find starting seeds where the generator…
Continue ReadingHypothesis testing for dummies
Don’t worry, Python is here to save us. We can easily test this using the stats library from scipy in…
Continue ReadingInferential Statistics: Understanding Hypothesis Testing Using Chi-Square Test
Well, we have multiple statistical techniques like descriptive statistic where we measure the data central value, how it is spread…
Continue ReadingLog 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 ReadingPython Tutorial For Researchers Who use R
Python Tutorial For Researchers Who use RInstallation, Loading Data, Visualization, Linear Regression, Rpy2Jun WuBlockedUnblockFollowFollowingJul 2@wwarby unsplash. comThis tutorial is aimed at…
Continue ReadingA quick run-through of Holt-Winters, Seasonal ARIMA and FB Prophet
A quick run-through of Holt-Winters, Seasonal ARIMA and FB ProphetGregory FeltonBlockedUnblockFollowFollowingJun 27gianfelton/Comparing-Holt-Winters-SARIMA-and-FBProphetThis is a simple notebook comparing the output of Holt-Winters,…
Continue ReadingHypothesis Testing — An Introduction
To solve such problems we always start with a null hypothesis, and we assume that the null hypothesis is true…
Continue ReadingStatistics For Real World Data
Statistics For Real World DataSome useful statistical tools for imperfect dataRyan FarmarBlockedUnblockFollowFollowingJun 14IntroductionIn any introductory statistics course, you’ll pretty much always…
Continue ReadingPredicting Titanic Survivors (A Kaggle Competition)
We’ll find out!Let’s get started!1. 0 Importing the DataThe first step in the process is always to load in the data as…
Continue ReadingTop 10 Statistics Mistakes Made by Data Scientists
The model you built looked great in R&D but performs horrible in production. The model you said will do wonders…
Continue ReadingThe ultimate guide to A/B testing. Part 1: experiment design
Maybe it would have been even worse if the game didn’t have that new mode. In this case, the best…
Continue ReadingIntroduction to concise and expressive REST API testing framework — WebTau
Introduction to concise and expressive REST API testing framework — WebTauMykola GolubyevBlockedUnblockFollowFollowingMay 28IntroductionWebtau (short for web test automation) is a tool and…
Continue Reading