great-expectations/great_expectations

Always know what to expect from your data.

Language: Python - Size: 218 MB - Last synced at: 44 minutes ago - Pushed at: about 1 hour ago - Stars: 10,338 - Forks: 1,571

devotuoma/Mall-Customers-Segmentation

In this machine learning project, we will make use of K-means clustering which is the essential algorithm for clustering unlabeled dataset.

Language: Jupyter Notebook - Size: 2.38 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 1

nataberishvili/nataberishvili.github.io

Size: 255 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

KshitijaChilbule07/Analyzing-Customer-Churn-using-Power-BI

The purpose of this project is to provide an end-to-end Business Analysis Solution to minimize Customer Attrition for the Bank.

Language: Jupyter Notebook - Size: 4.86 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

Spogis/FastDataAnalytics

Data Explorer - Profile Report and EDA App

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Theoplayz2/eda-explorer

Инструмент на Python для разведочного анализа данных (EDA) и визуализации, поддерживающий загрузку данных CSV и JSON, с модульной архитектурой ООП. Практическая работа по теме: "Обнаружение и визуализация данных для понимания их сущности" дисциплины "МДК 13.01: Основы применения методов искусственного интеллекта в программировании".

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kishandata23/EDA-FE

This repo contains EDA(Exploratory Data Analysis) & Feature Engineering projects made with help of Python and their libraries.

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Russolves/Grade-Report-A.I.

Program that can take in large amounts of .csv files in the same directory and trains a deep learning neural network model based on the best/worst students evaluated by the user. Second program then utilizes the model from the first program to produce a projected report for each individual student inputted.

Language: Python - Size: 201 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

damalialutfiani/Iowa-Liquor-Sales-Project

Analyzing data from Liquor Sales In Iowa. From Data Cleaning to Data Visualization with Insights.

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danieljosephraj/LGMVIP-DataScience

LetsGrowMore DataScience Internship: During this Internship, I have worked on project related to Data Analytics field in which LSTM, Decision Tree, Random Forest and XGboost have been used.

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alfreedolf/ml-spp

Unpretentiously exploring stock prices predictions problem by means of Deep Learning based models

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mehreentahir16/COVID-19-Predictive-Analysis

This repository contains the Jupyter notebooks explaining Exploratory data analysis & Prediction of COVID-19.

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