KyroKwok2021/Study-Bitcoin-Gold-Correlation

This repository focuses on studying the correlation between Bitcoin and Gold commodity prices.

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Afrid1045/MBA-Job-Placement-Analysis-Using-Generalized-Linear-Model

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BalajiN743/Multi-Linear-Regression-examples

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wonderakwei/marketing-sales-data-analytics-using-python

This project utilizes Python, employing regression and correlation analysis to optimize marketing campaigns. By analyzing sales impact across different hospital account types, it unveils key strategies, culminating in actionable recommendations and a comprehensive ROI table for effective decision-making.

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Siddartha09/parkinsons_prediction

This repo is an attempt to diagnose Parkinson's disease using voice measurements of patients using machine learning algorithms.

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sunoh-kim/statistical-data-analysis

This repository contains my assignment solutions for the Statistical Data Analysis.

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manjit-baishya-2023/Gun_Deaths_in_America

What are the predominant factors influencing the trends in gun-related deaths in the United States from 2012 to 2014?

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Maheshwari1990/-Prediction-with-Multiple-Regression-

Multiple Linear Regression Dataset Name - 50_startups data.

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ReaganGen/GEAnaly

An R package for analysis of gene expression matrix with differential expression analysis, enrichment analysis and correlation analysis.

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MoinDalvs/Learn_EDA_for_Data_Science

Univariate, Bivariate and Multi-variate Analysis

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pgrondein/nutrition_app_feasibility

Feasibility of a nutritional assessment application

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pgrondein/customer_segmentation_e-commerce

Customer segmentation through their behavior, their habits and their personal data.

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SheezaShabbir/Exploratory-Data-Analysis

Exploratory Data Analysis on Complex Data with Different plots Visualization

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andrewgrahampowell/miscellaneous-projects

A collection of miscellaneous coding projects, spanning across various programming languages, frameworks, and domains.

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BiKC/MAniR

Maldi and ANI correlation plot visualizer shiny app

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oakhamis/Climate_Change_Statistics

Analysis on rising of sea levels and melting of ice sheets.

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jalvesm/fundamental-statistics

Exercises and examples proposed by the Statistics discipline.#data-analysis #data-visualization, #hypothesis-testing #inference, #regression #correlation-analysis, #statistical-methods

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liekevandehaar/Dev_Hb_mouse

Transcriptomic analysis of the developing mouse habenula

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vaitybharati/P26.-Supervised-ML---Multiple-Linear-Regression---Cars-dataset

Supervised-ML---Multiple-Linear-Regression---Cars-dataset. Model MPG of a car based on other variables. EDA, Correlation Analysis, Model Building, Model Testing, Model Validation Techniques, Collinearity Problem Check, Residual Analysis, Model Deletion Diagnostics (checking Outliers or Influencers) Two Techniques : 1. Cook's Distance & 2. Leverage value, Improving the Model, Model - Re-build, Re-check and Re-improve - 2, Model - Re-build, Re-check and Re-improve - 3, Final Model, Model Predictions.

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vaitybharati/P25.-Supervised-ML---Simple-Linear-Regression---Waist-Circumference-Adipose-Tissue-Data

Supervised-ML---Simple-Linear-Regression---Waist-Circumference-Adipose-Tissue-Data. EDA and data visualization, Correlation Analysis, Model Building, Model Testing, Model Prediction.

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vaitybharati/P24.-Supervised-ML---Simple-Linear-Regression---Newspaper-data

Supervised-ML---Simple-Linear-Regression---Newspaper-data. EDA and Visualization, Correlation Analysis, Model Building, Model Testing, Model predictions.

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vaitybharati/P23.-EDA-1

EDA (Exploratory Data Analysis) -1: Loading the Datasets, Data type conversions,Removing duplicate entries, Dropping the column, Renaming the column, Outlier Detection, Missing Values and Imputation (Numerical and Categorical), Scatter plot and Correlation analysis, Transformations, Automatic EDA Methods (Pandas Profiling and Sweetviz).

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vaitybharati/Assignment-11-Text-Mining-01-Elon-Musk

Assignment-11-Text-Mining-01-Elon-Musk, Perform sentimental analysis on the Elon-musk tweets (Exlon-musk.csv), Text Preprocessing: remove both the leading and the trailing characters, removes empty strings, because they are considered in Python as False, Joining the list into one string/text, Remove Twitter username handles from a given twitter text. (Removes @usernames), Again Joining the list into one string/text, Remove Punctuation, Remove https or url within text, Converting into Text Tokens, Tokenization, Remove Stopwords, Normalize the data, Stemming (Optional), Lemmatization, Feature Extraction, Using BoW CountVectorizer, CountVectorizer with N-grams (Bigrams & Trigrams), TF-IDF Vectorizer, Generate Word Cloud, Named Entity Recognition (NER), Emotion Mining - Sentiment Analysis.

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vaitybharati/Assignment-05-Multiple-Linear-Regression-2

Assignment-05-Multiple-Linear-Regression-2. Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in the past few years State -- states from which data is collected Profit -- profit of each state in the past few years.

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vaitybharati/Assignment-04-Simple-Linear-Regression-1

Assignment-04-Simple-Linear-Regression-1. Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Model Predictions using simple linear regression.

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vaitybharati/P27.-Supervised-ML---Multiple-Linear-Regression---Toyoto-Cars

Supervised-ML---Multiple-Linear-Regression---Toyota-Cars. EDA, Correlation Analysis, Model Building, Model Testing, Model Validation Techniques, Collinearity Problem Check, Residual Analysis, Model Deletion Diagnostics (checking Outliers or Influencers) Two Techniques : 1. Cook's Distance & 2. Leverage value, Improving the Model, Model - Re-build, Re-check and Re-improve - 2, Model - Re-build, Re-check and Re-improve - 3, Final Model, Model Predictions.

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susanachambel/AnomalyDetectionInWaterDistributionNetworks

Source code used to support the Master's thesis "Descriptive and Predictive Modeling of Water Distribution Network Dynamics using Multivariate Time Series Data"

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shima-aflatounian/Credit-Score

By performing feature engineering, visualization, and data cleaning, analysts can gain valuable insights into credit score data. These steps help in understanding the factors influencing credit scores, and identifying potential data quality issues,

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random-git/Drug-adverse-events-correlation

part of the analyses of paper "Investigating safety profiles of human papillomavirus vaccine across group differences using VAERS data and MedDRA."

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Terrisine/Machine-Learning-module-codes Fork of profvc/mllab

Charles Vincent's code

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Vihang-Chandra/DS_Car_loan_linear_regression

The aim of the project was to develop a linear regression model to predict if the loan could be approved or not.

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apsinghAnalytics/Business_EDA_Python

Exploratory Data Analysis of a Business Using Python and its Libraries: Numpy, Pandas, Seaborn, and Matplotlib

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vaitybharati/Assignment-04-Simple-Linear-Regression-2

Assignment-04-Simple-Linear-Regression-2. Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.

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Adettoun/Understanding-Statistical-Techniques

This project demonstrates appropriate use of statistical techniques to analyse data, and extract meaningful insights.

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rrambhia22/Regression-Predictive-Modeling-and-Analysis-of-Bitcoin-Hashrate

The primary objective of this study is to develop a dependable and precise prediction model to forecast alterations in Bitcoin's hash rate.

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T3kan0/bootstrap_resample_with_replacement

A combination of codes developed for the calculation of the cross-correlation confidence intervals, making use of a pair of light-curves. The code conducts a bootstrap random sampling with replacement method to generate artificial light-curves. The code determines the cross-correlation of the artificial light-curves, and uses them for significance.

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aaron-evans-cruz/Python-Portfolio-Projects

Python Portfolio Projects. Highlighting skills in Python, Pandas, data cleaning, correlation...

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ShreyaPatil1199/Big_Mart_Sales_Prediction

Big Mart Sales Prediction is a data-driven project aiming to forecast product sales accurately across Big Mart outlets. Leveraging machine learning and comprehensive datasets, our project empowers retailers to optimize inventory, enhance profitability, and make informed decisions in the dynamic world of retail.

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sugbk18/Sectoral-Analysis-for-Indian-Economy

Top-Down Investment Strategy Optimization with Time Series Forecasting

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Boboye-x/Movie-Analysis-In-Python

A correlation analysis of movie dataset using python

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jaafarkh/spectcorr

c++ implement spectral correlation

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kelvinnn25/gunviolenceproject

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AImmanuel/Correlation-Analysis-using-R

Correlation between the life expectancy and the percentage of urban population in countries during the period of 2010-2017 using R.

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lucrieffel/NBA-Player-Analysis-Alex-Caruso-2019-2020

A comprehensive analysis of Alex Caruso's performance in the 2019-2020 season focusing on the relationship and correlation between playing time and game score.

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twguest/tiepy

Solutions to the Transport-of-Intensity Equation (Speckle-Tracking, Paganin Algorithm etc.,)

Language: Python - Size: 14.2 MB - Last synced at: 12 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

PavithraVijaykumaar/Data-Visualization-Python

This project revolves around in-depth analysis and visualization of Spotify data. The project encompasses various data preprocessing tasks to clean and prepare the dataset for meaningful insights. Utilizing visualization tools such as Matplotlib and Seaborn, the project presents compelling visual representations of Spotify's music data trends

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pholur/stock-market

Codebase: Novel scaling law governing stock price dynamics

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sidattam/red-wine-quality

Exploratory Data Analysis and Classification Modeling using the Red Wine dataset from Kaggle

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DayoSamuel/A-Statistical-Approach-to-Understanding-the-Unemployment-Situation-Among-European-Countries-from-the

A Statistical Approach to Understanding the Unemployment Situation Among European Countries from the Reformation and Development Perspective

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lucia15/Image-Quality-Assessment

Image Quality Indices implementation. This is my thesis project to opt for a Master in Applied Statistics and it was published in a scientific journal.

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0xd3lbow/Bitcoin-Rolling-Correlation

Time-Series Modeling of Bitcoin for Equities, Commodities & Forex Markets

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SBouchard01/CorrHOD

A code that populates dark matter halos and computes correlation functions

Language: Python - Size: 3.59 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

Masihsoniya/House-price-prediction

Predicting house price

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galenseilis/ConAction

A package for studying how things change together.

Language: Python - Size: 97.7 MB - Last synced at: 30 days ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

KaramiMostafa/cns_project_dashboard Fork of SahandHamzehei/cnsdashboard

The project provides a comprehensive Dashboard that presents the findings of the data analysis related to analyzing pollution data and CNS disease statistics in the Italian province.

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shraddhapattnaik/EDA-On-KDrama

An analysis on top Korean dramas till now, based on a Kaggle dataset.

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Benazir023/QVI_CustomerAnalytics2

Continuation of QVI_customer_analytics. This analysis seeks to find out the effect of product layouts on purchase behavior and sales

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Sheminho/Exploratory_Data_Analysis-Retail

Analyzing Retail data to explore the dataset and answer a main question which is how we can make more money by improving weak areas and represent the data in an interactive way.

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Steveximo/Linear-Regression-in-R

Linear Regression

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vaitybharati/Assignment-05-Multiple-Linear-Regression-1

Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.

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yuruotao/Graduate-School-Equity-Analysis

Measure the equity of a graduate school/衡量研究生招生公平性

Language: R - Size: 176 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

IbrahimElzahaby/MSc_Thesis

Computational protemics analysis of cancer cell-lines at the level of single-cells

Language: R - Size: 104 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

cbsteh/SolarCorrMap

Visualize correlations as a solar map

Language: Julia - Size: 140 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

peter-kozarec/fincorr

Command line tool to calculate correlation between two or more financial assets.

Language: C++ - Size: 2.75 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

samhithams/R-Basics

Basic code for loading in-built murder dataset and some functions in R Studio. Functions such as - head, tail, class, factor, levels, str, seq, dataframe. We take a CollegeGrad dataset and perform data manipulation, correlation coefficients are calculated and dataset is compared with each other and Linear regression.

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den1ceee/poland_survey_2020

Poland social-political consumption research

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keyhong/nonghyup-food-grain-bigdata-consulitng

농협양곡 빅데이터 컨설팅 경진대회

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mijailo/timeSeriesCorrelations

Colección de notebooks tutoriales para bajar series de tiempo financieras y analizarlas sus correlaciones.

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arghyawning/wb-election-analysis

Project to retrieve electoral data by scraping and then sociologically analyse the data.

Language: Python - Size: 0 Bytes - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Asureda/coarse_grain_polyelectrolyte

Influence of charge regulation on conformational ,ionization properties and dynamics of polyelectrolytes

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lauranonato/Business-Analytics

Esse é um repositório os Cases de Business Analytics que fiz na parte prática do curso "Foundations of strategic Business Analytics" do Coursera (2022) utilizando a linguagem R

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ankitdhadave/Predicting-Hotel-Booking-Cancellation-with-Machine-Learning

Predicting Hotel Booking Cancellation with Machine Learning

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martins-jean/Credit-Card-Approvals

Learn various ways to select your features.

Size: 384 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

zue3103/projectRD

Capstone project

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DablewCodes/Data-Correlation-Analysis

A correlation analysis done on a movies dataset to find highest correlating factors for gross revenue generated by a movie

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Sridhar922/Water-Quality-Analysis

Water Quality Analysis

Language: Jupyter Notebook - Size: 2.14 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

lengthylyova/crypto-cf

An app that allows you to calculate correlation coef between two crypto-symbols in a certain period of time.

Language: Python - Size: 7.81 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

zhicongg13/Movie-Correlations-Project

This project aims to identify factors that correlate with the gross earnings of movies using Python.

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Devazc/PY_Playground

My Python Practice Projects

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LazarosPan/A-Rosetta-Stone-for-Human-Capital

This project examines the relationship between education, income, and test performance across countries using the Human Capital Rosette Column.

Language: Jupyter Notebook - Size: 432 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Varun-N-M/strength-of-concrete_using_ML_models

Machine learning model which can predict the strength of a mixture for given composition of ingredients like cement, slag, ash, water, superplastic, coarse aggregates, fine aggregates, age.

Language: Python - Size: 8.82 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

ssharkov03/HousePricesAnalysis

House Prices data analysis using Theory of Probability course knowledge and dataset from Kaggle. Trying to understand the data and make some conclusions.

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leirimnad/data-analysis-labs

Data analysis of TikTok trending tracks, featuring correlation and regression analysis. More info in reports (in Ukrainian).

Language: R - Size: 1.7 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

griffinbran/Real-Estate-Statistical-Modeling

Predictive analysis, with feature engineering, and machine learning (ML) algorithms, such as linear regression, applied to predict the final sale price of homes in Ames, IA from 2006-2010.

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michael-hoon/Air_Cargo_Forecasting_for_ASEAN

Exploratory Data Analysis project on the Forecasting of Air Cargo Demand for Southeast Asia. Uses R, Python, and SQLite.

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rajtulluri/Olist-business-analysis

A detialed analysis on the customers, products, orders and shipments of the Brazilian E-commerce giant Olist.

Language: Jupyter Notebook - Size: 85.6 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 6

ketan1105/PortfolioProjects

This is Portfolio Project for Data Analyst , to showcase the Excel , SQL, Power BI , Python Skills.

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LeventSoykan/Churn_Prediction

churn prediction using machine learning classification models

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amatutuwaa/Pymaceuticals

Pymaceuticals Inc., is a new pharmaceutical company that specializes in anti-cancer medications. Recently, it began screening for potential treatments for squamous cell carcinoma (SCC), a commonly occurring form of skin cancer. The task of the python project is to generate all of the tables and figures needed for the technical report of the study.

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schatzederwelt/best-oil-production-region

Предсказание прибыльного региона нефтедобычи

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Cathal-OD/Movies

Analysis of Movies made between 2000 and 2015

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yunusbagriacik/Data-Insights-Gained-from-Android-Apps2

Main goal is to determine which apps have highest sentiment score.

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2004-ind/Correlation_Analysis

Protecting portfolios using Correlation Diversification

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Iron486/Country_data_clustering

Categorization of world countries using socio-economic and health factors

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sqWa/Correlation-Analysis

Analyze different types of correlations between parameters.

Language: Python - Size: 237 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

melewan/Megans-Codes

Contains R codes for processing and analyzing data for Great Lakes Cladophora work

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Richard-Sti/gpc

Generalised Partial Correlation.

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Vosbrucke/Poland_COVID_vaccination

Covid-19 vaccination rates in Poland by counties. The goal of the project is to provide insight into what drives vaccination rates on COVID-19 across Poland

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rushikeshw791/Simple-linear-regression-2

Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.

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shivtosh/Emotion_AI_using_NRC_lexicon_News_2021_UK

Emotion Analysis of News Texts for a correlational study between emotion valences and covid new cases.

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