kflisikowski/ds

Descriptive Statistics 2023/2024

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arnabberawork/LendingClubCaseStudy

Case study to understand the driving factors (or driver variables) that contribute to a loan default.

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aeiwz/lingress

The lingress project is to develop the pipeline to analyse the Nuclear magnetic resonance (NMR) dataset using a univariate linear regression model. This package contains the analysis with linear regression (OLS) and visualises the interpretation of the results with a p-value of all NMR peaks.

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tomartushar/Credit-Card-Fraud-Detection

An ensemble of machine learning models for detecting fraudulent credit card transactions, utilizing advanced techniques for feature selection, data imbalance handling, and hyperparameter tuning.

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Nikhilsen29/Aerofit---Descriptive-Statistics-Probability

Aerofit is a leading brand in the field of fitness equipment. Aerofit provides a product range including machines such as treadmills, exercise bikes, gym equipment, and fitness accessories to cater to the needs of all categories of people.

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dardenkyle/FoodHub

Perform an exploratory data analysis and provide actionable insights for a food aggregator company to get a fair idea about the demand of different restaurants and cuisines, which will help them enhance their customer experience and improve the business

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tushar2704/Stats-Mosaic-Streamlit

Stats-Mosaic-Streamlit is a comprehensive GitHub repository that aims to provide a growing collection of curated content and projects centered around statistics and its intersection with data science, machine learning, and artificial intelligence.

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Siddhu-T/Walmart-Business-Case

Business Case: Walmart - Confidence Interval and CLT

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Siddhu-T/Aerofit-Business-Case-Study

Business Case : Aerofit - Descriptive Stats & Probability

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Paras-bakshi/EDA-on-IRIS-Dataset

Exploratory Data Analysis on IRIS Dataset

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HaiyangJin/fMRI-Matlab

Matlab Wrapper of Surface-based Analysis. Custom Matlab functions for running analyses with FreeSurfer, CoSMoMVPA, HCP pipeline (and SamSrf)...

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Redoxangel/Mall-clustering-project

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shweta-yadav15/Predicting-House-Prices

EDA and advanced Regression

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SughoshKulkarni/Auto-Forecasting

Auto-Forecasting is a web application that takes in an excel file with univariate time series data and provides forecasts. Auto-Forecasting works on SARIMA modeling.

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srimallipudi/Analysis-of-Sales-Representative-Salaries-in-Software-Industry-by-Personality-types

This repository presents a comprehensive analysis of sales representative profiles within a software product group. The analysis explores various factors at play such as age, gender, experience, personality type, certifications, feedback scores, salary, and Net Promoter Scores (NPS) to derive actionable insights and support decision-making process.

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manjugovindarajan/FoodHub-Order-Analysis-using-Python

A food aggregator company has stored data of different orders made by registered customers in their online portal. They want to analyze data to draw some actionable insights for business. Perform data analysis to find answers that will help the company to improve business.

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tcarlos87/Data-science-Portfolio

Data science solutions

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raquelbaeta/r-government-expenditure-and-drug-seizures-2017

This script, titled "Multiple Regression and Causal Analysis," conducts a series of univariate, bivariate, and multivariate analyses to explore the relationship between government expenditure, gross domestic product (GDP), drug seizures, and the United Nations Drug Control Treaty.

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LauraMutheu/Python_Project_2

In this project, I use the 'Python Programming Language' to analyze a given dataset obtained from a shopping mall's database in a bid to increase sales by better marketing clusters.

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FuadAnalyst/EDA-Exploratory-Data-Analysis

Exploratory Data Analysis (EDA) on a dataset from Kaggle

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UzoigweC/FoodHub

As a Data Scientist for the food aggregator company, I'll analyze order data to derive actionable insights. I'll address key questions like popular cuisines, peak order times, customer preferences, and delivery efficiency. Insights will guide improvements to boost customer satisfaction and streamline operations.

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SannketNikam/NYC-Energy-Consumption

Predicting New York City Energy Demand Consumption using Auto-Arima and Prophet Time Series Analysis

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HannahIgboke/Innomatics-Internship

What interesting trends can be seen from the AMEO 2015 study? This is a comprehensive Exploratory Data Analysis of the AMEO study using Python. Come see what I found out during my analysis.

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Mahitej28/Analysis-of-AMEO-Dataset

Performing Exploratory Data Analysis of a Dataset

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ssaket/eeg-analysis-notebooks

Notebooks for cleaning, filtering, and performing ICA, Mass-univariate and Decoding analysis

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RajajiVignan/EDA-Potential-Insurance-Customers

Exploration of the potential customers of insurance. Also, drawing insights with the help of univariate and multi-variate analysis

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jyoti0225/Air-Pollution-Forecasting

Time Series Analysis of Air Pollutants(PM2.5) using LSTM model

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Mukul-kush/Bank-Marketing-Case-Study

Bank of Corporate Case Study

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AmMoPy/Data_Visualization

Collection of data visualizations that are normally part of an EDA

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nimmigopan/SQL-case-study-on-laptop-dataset

Data Cleaning & EDA using SQL + Data Analysis & Visualization in Excel

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gupta-astha/Data-Science-projects

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ousmal/Openclassrooms_Projet2_app_sant-

Application pour la santé publique France

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Dipti028/LendingClubCaseStudy

To identify if a person is likely to default or not.

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albertobas/ames-housing-prices

Exploratory data analysis and supervised learning analysis on the Ames Housing Prices dataset.

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pgrondein/nutrition_app_feasibility

Feasibility of a nutritional assessment application

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SanaeSaccomano/Data-Science

Résumé de mes projets de Data Science

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venkatesh-eranti/clustering_Bank-Telemarketing-Campaign-Case-Study

In this case study I will be doing Exploratory Data Analytics with the help of a case study on Bank marketing campaign.

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ashishyadav24092000/UnivariateAndBivariateAndMultivariate-Analysis

Analysis for univariate, bivariate and multivariate types.

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VinitSR7/Personalized-Medicine

Classifying clinically actionable genetic mutations; NIPS-2017 Competition

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carlosalvarezh/Analitica_Datos

Curso de Analítica de datos para la toma de decisiones basadas en información, ofrecido al CEC de la Universidad EAFIT.

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Victoriambaka/IP-WEEK-7

This document contains the project done on Exploratory data analysis, Univariate, Bivariate and Multivariate

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akashkriplani/lending-club-case-study

EDA analysis on loan dataset from Lending Club Case Study to understand the driving factors (or driver variables) behind loan default

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KritikaAggarwal15/data-science-framework

This is a combined framework which has all the EDA functions including bivariate and univariate analysis and classification models. EDA Functions can help to analyze the Data before running any ML model.

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aditya-shinde16/Walmart_Case_Study

Business Case: Walmart - Confidence Interval and CLT

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aditya-shinde16/Aerofit_Case_Study

Business Case: Aerofit - Descriptive Statistics & Probability

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himanshu0195/Zomato-EDA

Exploratory Data Analysis on Zomato Data

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ISAIAH-Git/SEABORN-COMPLETE-END-TO-END

Complete seaborn end to end

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shahgem/CIND-820

Predicting Cryptocurrency Prices with Machine Learning - Time Series Forecasting

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ftmoztl/EDA-data-visualization

Exploratory Data Analysis and Visualization of Google Play Store Dataset

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kaushik-prasad-dey/Data-analytics-projects

This repository contains data analytics projects which covers most topics regarding data analytics

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MahalakshmiAdabala/Predicting-Term-Deposit-Subscription

Predictive Bank Marketing Campaigns Analysis

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y656/Data-Analytics-model-on-Behavioural-Challenges-of-ASD-kids

This repository contains Exploratory Data Analysis in Python on Autism Behavioural Challenges on children(0-18 years) dataset

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aeglon97/Communicate-Data-Findings

A presentation of my exploratory data visualization results with univariate, bivariate, and multivariate features.

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HeliaHashemipour/Trade-Forecast

Trade forecast

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usmanelahi/Fraud-Detection-In-Online-Transactions

Data Science Project

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Abanoub8yuossef/Prosper-Loan_data-analysis-project

making analysis using Exploratory and Explanatory visualizations through Univariate, Bivariate, Multivariate Exploration

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DandiMahendris/regression-model-cac

Regression models for predicting customer acquisition costs (CAC) and the effectiveness of univariate and lasso feature selection techniques in improving the accuracy.

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prneidhardt/Python-Foundations

FoodHub Project

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S-CHAN11/Insurance-Claim-Prediction

In this project, I use 3 machine learning models (CART, Random Forest and ANN) to predict the claim frequency for a travel insurance firm. I also evaluate which of the three models is most suitable for our dataset.

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Palemravichandra/Laptop_Price_Prediction

Laptop_Price_Prediction

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Palemravichandra/customer-segmentation

customer segmentation of insurance comapany

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indrapaul824/Coronary-Heart-Disease-Prediction

This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project

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dpghazi-zz/pisa-2012-data-analysis

Implemented univariate, bivariate, and multivariate Analyses to see how students performed globally from the PISA 2012 Dataset.

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Phani2019/Cancer-diagnosis-and-classification-using-different-ML-Models

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simrann20/Retail-Marketing-Exploratory-Data-Analysis-and-Data-Preprocessing

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ashish-pro/bank-loan-case-study

This case study aims to identify patterns which indicate if a client has difficulty paying their instalments which may be used for taking actions such as denying the loan, reducing the amount of loan, lending (to risky applicants) at a higher interest rate, etc. This will ensure that the consumers capable of repaying the loan are not rejected.

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teekamkhandelwal/Lending_Club_case_Study

EDA Project case study

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Mehak0310/Credit-EDA-Case-Study

Perform Exploratory Data Analysis(EDA) on loan applications to understand how various client attributes (like marital status, education, occupation, etc.) influence the tendency of default.

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renatokano/cn-pulsar-star-challenge

[Codenation] Explore the main functions of probability distributions such as PDF, CDF and quantiles, and the relationships between normal and binomial distributions. We will also explore the 'Pulsar Star' data set provided by Dr. Robert Lyon (University of Manchester).

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Usama-Tariq/Udacity_Communicat-Data-Findings_Project-5_DAND

Performed an exploratory data analysis using python and presented explanatory plots that convey insights of data.

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Defcon27/Data-Analysis-of-Indian-Automobile-dataset-using-Machine-Learning-in-R

The project aims to perform various visualizations and provide various insights from the considered Indian automobile dataset by performing data analysis that utilizing machine learning algorithms in R programming language.

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Samirnunes/eda_sql_univariate_tech_layoffs

Análise Univariada em SQL: o objetivo deste projeto é utilizar os dados atuais acerca das demissões nas áreas de tecnologia de várias empresas para praticar o uso da linguagem SQL (Standard Query Language) para análise de dados.

Language: Jupyter Notebook - Size: 847 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 2 - Forks: 0

manishkr1754/Loan_Eligibility_Prediction_Python

Predict Loan Eligibility for a Finance company

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shreyas-singhal/Lead-Scoring-Case-Study

X Education Organization wants to identify if a customer registered on their website for enquiry is a potential customer or not. Using past data to build a machine learning algorithm

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PacktWorkshops/The-Data-Analysis-Workshop

A New Interactive Approach to Learning Data Analysis

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Maruthi18/World-Economic-Indicator-Data-analysis

How Country's GDP/Capita depends

Size: 7.8 MB - Last synced: 12 months ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

hajarmerbouh/Heart-Disease-Prediction

Application web R Shiny : Heart Disease Prediction

Language: R - Size: 17.6 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

nasr-edine/univariate_analysis_python

Univariate Data Analysis in Python about Tree Distribution in Paris

Language: Jupyter Notebook - Size: 14.1 MB - Last synced: 12 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

nitishkthakur/selfplot

A python package with standard data visualization functions with reasonable defaults for use in Exploratory Data Analysis and Model Diagnostics.

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pradeepdev-1995/Feature-Selection-Techniques

Feature selection techniques in machine learning is a process of automatically or manually selecting the subset of most appropriate and relevant features to be used in model building. Here we are taking a machine learning regression problem and shows the different steps in feature selection process

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marcello-calabrese/edatemplates

Exploratory Data Analysis standard templated in markdown and txt format

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darshil2848/Bike-Shraing-Demand-Prediction

Booming Bike Sharing Analysis and Demand Prediction

Language: Jupyter Notebook - Size: 6.1 MB - Last synced: 4 months ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

MoinDalvs/Learn_Visualization_on_Matplotlib

Matplotlib The Figure is the overall window or page that everything is drawn on. It’s the top-level component of all. To the figure you add Axes. The Axes is the area on which the data is plotted. A figure can have multiple axes. Note: when you see, for example, plt.xlim, you’ll call ax.set_xlim() behind the covers. All methods of an Axes object exist as a function in the pyplot module and vice versa. Mostly, you’ll use the functions of the pyplot module because they’re much cleaner, at least for simple plots!

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MoinDalvs/Learn_EDA_for_Data_Science

Univariate, Bivariate and Multi-variate Analysis

Language: Jupyter Notebook - Size: 443 KB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 1 - Forks: 0

sandipanpaul21/EDA-in-Python

Exploratory Data Analysis Theory and Python Code

Language: Jupyter Notebook - Size: 11.1 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 1 - Forks: 1

kedarghule/Statistical-Analysis-of-Insurance-Claims

This project explores the data of medical insurance claims. Descriptive Analysis, Exploratory data analysis, Univariate, Bivariate and multivariate analysis is performed to explore the data and how different features are correlated to each other. Finally, hypothesis testing is performed by employing t-test, Chi-squared test and One-way ANOVA.

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bushra-ansari/Predicting-Term-Deposit-Subscription-by-a-Client-by-SVM-Classifier

Support Vector Machine Classification model is applied on bank dataset containing 41188 rows and 21 columns. The data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. Often, more than one contact to the same client was required, in order to assess if the product (bank term deposit) would be ('yes') or not ('no') subscribed.

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MaheenAnees/Exploratory-Data-Analysis

This repository is created as part of the course Data Science. Have conducted exploratory data analysis on the given dataset using univariate, bivariate as well as multivariate analysis

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darshil2848/Loan-Lending-Club-Case-Study

Loan Lending Club Case Study by Darshil Ajay Parekh

Language: Jupyter Notebook - Size: 11.9 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

ash-deol/EDA-Mini-Project

Dataset recording people to invest in each other in a way that is financially and socially rewarding. On loans, borrowers list loan requests between $ 2,000 and $ 35,000, and individual investors invest as little as $ 25 in each loan listing they select. Prosper handles the servicing of the loan on behalf of the matched borrowers and investors. Few more different questions were also included in that mini-project not based on a summary.

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NabilahSharfina/Ruangguru-Bootcamp

Final project program DBA mitra Ruangguru X Studi Independen Bersertifikat Kampus Merdeka batch 2

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ajuRavi/EDA-IPL

About Exploratory Data Analysis on IPL data (2008 - 2020).

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nani757/univariate-analysis_eda

eda

Language: Jupyter Notebook - Size: 116 KB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

MIchelAshraf/Ford-Bike-data-set-analysis

Explanatory/Exploratory Data Analysis on Ford-bike data-set

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MIchelAshraf/Telecom-Customer-Churn-dataset-analysis

Explanatory/Exploratory Data Analysis on Telecom-Customer-churn.

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LoneN3rd/Statistical-Data-Analysis

Perform univariate and bivariate analysis to prepare data for modelling in later stages

Language: Jupyter Notebook - Size: 220 KB - Last synced: about 1 month ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

chinmayeeguru/Loan-Default-Risk-Analysis

To identify customers who are more likely to default loan repayment

Language: Jupyter Notebook - Size: 1.46 MB - Last synced: 4 months ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

keenan-cooper/Marketing-Analytics-for-a-Food-Delivery-Platform

Udacity - Data Analyst Nanodegree - Project 5 - Data Visualization

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rrchaubey/Statistical-Analysis-on-PIMA-DIABETES

This repo will introduce you end to end use case of Statistics and Machine Learning together.

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Abhishek20182/Communicate-Data-Findings

Udacity Data Analyst Nanodegree - Project V

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