pipelines chains together multiple steps so that the output of each step is used as input to the next step
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Updated
Apr 24, 2022 - Jupyter Notebook
pipelines chains together multiple steps so that the output of each step is used as input to the next step
in this section will be numerical feature selection on diabetes dataset
Code to sample how to find best words in text using chi2 and tfidf
Logistic Regression project for Banking Marketing Campaign.
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.
Анализ датасета по суицидам в Шаньдуне.
Create an array containing pseudorandom numbers drawn from a chi-square distribution.
Shandong suicide dataset analysis
Hypothesis for Data Science
UX Analytics & A/B Testing
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.
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.
For the purpose of classifying documents and finding the most similar ones for a given query.
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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