Quasar and emission line precise redshift fitting from prior

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

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.

Chi-square distributed pseudorandom numbers.

几种常见的特征分箱与可视化的方法

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

Hypothesis for Data Science

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

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

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.

in this section will be numerical feature selection on diabetes dataset

pipelines chains together multiple steps so that the output of each step is used as input to the next step

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

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

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