in this section will be numerical feature selection on diabetes dataset
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Updated
Mar 13, 2024 - Jupyter Notebook
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
Code to sample how to find best words in text using chi2 and tfidf
Logistic Regression project for Banking Marketing Campaign.
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.
Create an array containing pseudorandom numbers drawn from a chi-square distribution.
Анализ датасета по суицидам в Шаньдуне.
Shandong suicide dataset analysis
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
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.
Fill a strided array with 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.
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