Quasar and emission line precise redshift fitting from prior

Create an iterator for generating pseudorandom numbers drawn from a chi-square distribution.

几种常见的特征分箱与可视化的方法

This repository contains a collection of hacks and tips for feature engineering. It is a great resource for anyone who wants to learn how to improve the performance of their machine learning models.

Hypothesis for Data Science

Chi-square distributed pseudorandom numbers.

This repository is a resource for learning and applying statistics in data science. It contains code examples and explanations for many common statistical concepts, from descriptive statistics through regression and time series analysis.

For the purpose of classifying documents and finding the most similar ones for a given query.

Feature selection is done by using filter methods along with data cleaning.

Sales of products in four different regions is tabulated for males and females. Find if male-female buyer rations are similar across regions

Shandong suicide dataset analysis

Анализ датасета по суицидам в Шаньдуне.

Create an array containing pseudorandom numbers drawn from a chi-square distribution.

UX Analytics & A/B Testing

University project where we measured the intensity of a laser beam focused on a razor blade and calculated its intensity and spacial profile using heavy data analysis methods

Fill a strided array with pseudorandom numbers drawn from a chi-square distribution.

Logistic Regression project for Banking Marketing Campaign.

Forensic Analysis of VMDK files with Shannon Entropy and Chi-Square-Test

A Simple Python Module for chi^2 Goodness-of-fit Test

Analyze the Netflix dataset using Python to gain insights into the content available on the platform and create an interactive dashboard using Tableau Public.

Code to sample how to find best words in text using chi2 and tfidf

in this section will be numerical feature selection on diabetes dataset

Este projeto é o resultado do meu Trabalho de Conclusão de Curso (TCC) para o curso de Bacharelado em Sistemas de Informação pelo Instituto Federal de Minas Gerais – Campus Sabará.

This is a self-developed pet project. The main goal is to predict person's income based on multiple features.

Generate pseudorandom numbers drawn from a chi-square distribution.