Nukaze/spotify-recommendations

Implements a content-based recommendation system for Spotify using TF-IDF (Term Frequency-Inverse Document Frequency) and Cosine Similarity. The system analyzes song features to recommend similar tracks based on user preferences.

Language: Jupyter Notebook - Size: 95.8 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

rosaaestrada/MentalHealth-Age-Analysis

Pearson's Chi-square, Analysis of Variance (ANOVA), and Correlation Matrix to analyze the relationship between mental health and age.

Language: Jupyter Notebook - Size: 67.1 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

II-STARLIGHT-II/medical-data-visualizer

This project visualizes medical data using Python. It creates a categorical plot to show distributions of health metrics and a heatmap to display correlations between medical factors like cholesterol, glucose, and BMI, analyzing their relationship with cardiovascular disease.

Language: Python - Size: 883 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

AdewoleK/Community-Health-Evaluation-

This project is based on a synthesized dataset aimed at evaluating community health services and biomechanical measures.

Language: Jupyter Notebook - Size: 189 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

jungseungoh/project_safety_road

WCRC 2023 데이터 경진대회 데이터 분석 분야 | 범죄 불안도 기반 맞춤 안심로 안내 서비스

Language: Jupyter Notebook - Size: 8.66 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

forestluo/Matlab

Algorithm based on Matlab.

Language: MATLAB - Size: 88.1 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

BayoAdejare/pipeline-sleep

Sleep Data Pipeline with Azure Data Factory

Size: 21.5 KB - Last synced at: 8 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

rishi-singh15/US-Airlines-Decision-Trees

This project was for the 2024 Carolina Data Challenge. The theme for this challenge was travel.

Language: Jupyter Notebook - Size: 6.63 MB - Last synced at: 6 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 3

wikixen/Breast-Cancer-ID-Model

An ML model a team & I made in R that predicts whether or not a person has breast cancer.

Language: R - Size: 1.3 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

mahnoorsheikh16/Estimating-Aggregate-Import-Demand-Function

To test whether the economic theory for imports, real GDP and relative prices holds in real life scenario, this study analyses the extent of association between the variables through regression analysis. The paper can be used to assess the difference in impact of global events on GDP and import volume.

Size: 459 KB - Last synced at: 29 days ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

chrisduvillard/PortfolioCorrelationSimulator

A synthetic asset portfolio simulator to explore the benefits of uncorrelated asset returns.

Language: Python - Size: 606 KB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Megaemce/correlations.world

Correlations between various world data

Language: JavaScript - Size: 3.22 MB - Last synced at: 14 days ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

TaschnerMandlGroup/MapMetSC

MAPping METastases in Neuroblastoma - spatially and temporally

Language: R - Size: 92.2 MB - Last synced at: 9 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

rdebullain/ML-Wholesale_Data_Analysis

Language: Jupyter Notebook - Size: 9.34 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

lkfink/pupilTutorial

A code tutorial to accompany https://link.springer.com/article/10.3758/s13428-023-02098-1

Language: HTML - Size: 34 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 4 - Forks: 2

filip-kustura/statistics-olympics-analysis

A group seminar analyzing the relationship between citizens' average height and a country's Olympic success. The project involved data collection, descriptive statistics and statistical testing. Created and presented as part of the mandatory undergraduate Statistics course in spring 2021.

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Chrixsx/LDSC_genetic_corr_sleep_vs_epi

Genetic correlation analysis using LDSC command-line + visualize with R

Language: R - Size: 659 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

RoshniRanaDS27/Matplotlib_PymaceuticalsData_Visualization

Pymaceuticals Data Analysis and Visualization

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Hannah-Aji/Sales-Performance-PowerBI

A Power BI dashboard focused on sales analysis, providing comprehensive insights into sales performance, revenue trends, and key metrics.

Size: 8.09 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Profbla2020/Hedonic-Price-Model-project

The project focuses on a critical and timely theme: assessing the impact of micromobility infrastructure on property values in London. This study sits at the intersection of urban planning, real estate economics, and sustainable transportation, reflecting a growing interest in how emerging mobility solutions contribute to urban life quality.

Language: HTML - Size: 19.5 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

ie8701va/data_analysis_practical_task

Entry task for the internship at Lithuanian Statistics Department

Language: R - Size: 9.77 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

AlvaroVillamizar/Impact-of-Burnout-Syndrome-on-the-Performance-of-Care-Workers-in-Colombia

Impacto del Sindrome de Burnout y Factores de Riesgo Psicosociales asociados al desempeño del Control Inhibitorio en trabajadores asistenciales en Colombia

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Ansuman21/Start-up-Funding-Forecast-HPTV-

This project aims to analyze and forecast the total funding amounts of startups using various regression and time series modeling techniques. Initially, we preprocess the dataset, which includes features such as funding amounts, company size, and number of funding rounds. The data is then scaled and split into training and testing sets.

Language: Jupyter Notebook - Size: 5.67 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Loveleen-DS/patient_show_analysis

This project analyzed hospital appointment data to explore factors influencing patient show-up rates. Key findings include no strong correlation between demographic or health characteristics and attendance, with complex, multifaceted behavior likely driving no-shows. Recommendations are added at the end of the notebook based on the findings.

Language: Jupyter Notebook - Size: 3.08 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Mahsa-Ehsanifard/WGCNA

Weighted Gene Co-expression Network Analysis;

Language: R - Size: 10.3 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

fardinabbasi/Image_Processing

Implementation of a 2D correlation method for locating an electrical element (BA3240) on a PCB.

Language: MATLAB - Size: 2.17 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

Devanshi-Bavaria/Predictive-Modeling-for-Stock-Market-Trends

📈 Comprehensive stock price analysis, including preprocessing, clustering, correlation, and predictive modeling, to enhance investment insights and accuracy. 💡

Language: Jupyter Notebook - Size: 1.22 MB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 3 - Forks: 1

ashemsu/statistical-programming-R

This repo includes the beginning of my more advance project work during my undergraduate program at UPenn, wherein we to applied statistical concepts into our analysis in R.

Size: 44.9 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

danielna70/pokemon_project

Data Science Assignment : Digitals Skill Fair 25.0 - Dibimbing.ID

Language: Jupyter Notebook - Size: 617 KB - Last synced at: 10 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Jimmymugendi/LuxDev-week-2-boot-camp

Language: Jupyter Notebook - Size: 738 KB - Last synced at: 19 days ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

SalonenAntti/LSTM-Modeling

Predicting stock performance with LSTM

Language: Jupyter Notebook - Size: 7.32 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

ElphysAlvarez01/prophet-challenge

Mercado Search Trends & Stock Analysis with Prophet

Language: Jupyter Notebook - Size: 1.33 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

VanHes1ng/Correlation-Trend

Correlation Trend Application This Streamlit-based web application allows users to analyze the correlation trends of the top 10 cryptocurrencies in relation to Bitcoin (BTC) and visualize these trends in a table.

Language: Python - Size: 713 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 2 - Forks: 0

HaadiRazaTDK/Predictive-Modelling-for-Housing-Prices

Predictive modelling for Housing Prices using Random Forrest Regression

Language: Jupyter Notebook - Size: 3.21 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

VandyCatLab/idvor

Manipulating and Measuring Variation in Deep Neural Network (DNN) Representations of Objects.

Language: Jupyter Notebook - Size: 3.85 GB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 3

LeftCoastNerdGirl/Matplotlib_and_NumPy

This project applies lessons using Matplotlib and Numpy

Language: Jupyter Notebook - Size: 304 KB - Last synced at: 4 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

anik475/Kaggle-Challenge-Campaign-Contributions-in-the-United-States

This assignment contain information on the contributions to the campaigns of the US politicians at the state and the federal level. The contribution data has been collected from various sources and covers the 1989-2017 period

Language: Jupyter Notebook - Size: 1.19 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

mittelmark/snha

St. Nicolas House Algorithm implementation in R - predicting correlation networks using association chains

Language: R - Size: 161 KB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 6 - Forks: 0

BhadraNivedita/Computing-correlation-among-distance-metrics

Computing correlation among distance metrices

Language: Jupyter Notebook - Size: 766 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

vbhvsingh0/deforestation_rainfall_correlation

The aim of this project is to check if there is any correlation of rainfall with deforestation in Pennsylvania state of USA.

Language: Python - Size: 67.4 KB - Last synced at: 4 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

sanyachandnikhattar/HPVResearch

USC CURVE Fall 2023-Spring 2024 — Suen Lab, Sanya Chandni Khattar

Language: Python - Size: 577 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

aangelone2/das

A simple Data Analysis Suite

Language: Python - Size: 1.53 MB - Last synced at: 4 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

MoeinGazestanii/Life-Expectancy

Life Expectancy Analysis (WHO)

Language: Jupyter Notebook - Size: 3 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

kmedian/korr

collection of utility functions for correlation analysis

Language: Python - Size: 1.77 MB - Last synced at: 1 day ago - Pushed at: almost 3 years ago - Stars: 7 - Forks: 3

Anish935/Project_Portfolio

Welcome to my portfolio—a showcase where data, design, and strategy unite to tell compelling stories through statistics.

Language: Python - Size: 5.83 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

paliAli/Nuptake_project

Analyzing the correlation between nitrogen uptake and remotely sensed vegetation indices

Language: R - Size: 34.8 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

KeerthanaPalanikumar/Health-Analysis

This project analyzes a health monitoring dataset to explore relationships between various health metrics, including age, gender, heart rate, blood pressure, respiratory rate, body temperature, activity level, oxygen saturation, sleep quality, stress level, and timestamps.

Language: Jupyter Notebook - Size: 461 KB - Last synced at: 24 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

bursasha/flask-react-spearman-recsys

Movie Recommendation System based on the Spearman's rank correlation 🎞️

Language: Python - Size: 1.75 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

halepino/Covid19Vaccine_Hesitancy_Correlational_Analysis

Hesitancy data from CDC was explored for correlational relationships to US Census Bureau Covid19 impact data, and 2020 election data.

Language: HTML - Size: 1.46 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

GuilhermeProenca/Correlations-Study

Correlations Study Project

Language: Jupyter Notebook - Size: 166 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Manjurkreddy/EndtoendML

Using this ML file can anyone develop any machine learning alogitham in regression. almost 99.99 percent all regression models has been used. We need to pick the best machine learning algoritham using this file. Cheers Manju.

Language: Jupyter Notebook - Size: 446 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

mpaltsai/scRNA-Explorer

scRNA-Explorer pipeline allows users to interrogate in an interactive manner scRNA-sequencing data sets to explore via gene expression correlations possible function(s) of a gene of interest

Language: R - Size: 51 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

apsinghAnalytics/WikiViewsCryptoPriceTrendAnalysis

Crypto Sentiment Analysis via Wikipedia Page View Trends and Bitcoin Price and Volume Trends

Language: Jupyter Notebook - Size: 2.92 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

JamesMathitha/Data-Analysis-Portfolio

This is a repository that I have created to showcase skills, share projects and track my progress in Data Analytics / Data Science related topics.

Language: Jupyter Notebook - Size: 33.4 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

AwesomeMc101/beta-commodity-checker

An unfinished C++ backend application to correlate company stock prices & balance sheet data with that company's commodity(s) prices.

Language: C++ - Size: 59.6 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Zpetrea/Sentiment-Analysis

This dataset was derived from Kaggles MoviesOnStreamingServices dataset. I utilized Exploratory Analysis, Sentiment Analysis, Topic Modeling, and visualizations to conduct my research.

Size: 1.76 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

shwetapardhi/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 t

Language: Jupyter Notebook - Size: 670 KB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

shwetapardhi/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.p

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shwetapardhi/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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shwetapardhi/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 regressi

Language: Jupyter Notebook - Size: 43 KB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.41 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

SohhamSeal/Help-me-with-my-data

A website to help users view, verify and modify data for preprocessing and apply various classical ML algorrithms

Language: HTML - Size: 182 KB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Praddysingh568/Prediction-of-Student-Alcoholism-and-Academic-Performance

This repository presents a study on predicting student alcoholism and academic performance using machine learning. By analyzing a dataset of student attributes, we develop models to forecast academic outcomes and alcohol usage.

Language: Jupyter Notebook - Size: 2.28 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

G-D-e-e-p-a-k/Project-on-Terro-Real-Estate-agency

To finding out the most relevant features for pricing of a house in a certain locality.

Size: 146 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

zangzelin/Correlation-Analysis-between-Consumer-Price-Index-and-Service-Price-Index

This project uses the statistical data of Hebei Province from 2011 to 2017 to analyze the consumer consumption index and the service price index and the consumer price index. Using python3.6 as a development tool, the correlation coefficient is calculated on a monthly basis, and the correlation curve is drawn.

Language: Python - Size: 6.04 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 2

wasserhaus/fg_project

I have created a R package to check for correlation between the Fear & Greed index and daily returns of different asset classes.

Language: R - Size: 692 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

frapic98/Minutes-played-by-under-21-players-in-Serie-a

Minutes played by under 21 players in Serie A

Language: Jupyter Notebook - Size: 21.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ucheynna/ML-cancer-remission

Developed regularization and tree-based machine learning models to predict remission status in a cohort of 5059 patients. Elastic net and Random Forest models were compared on F1 scores accuracy, sensitivity, specificity, and AUC ROC.

Size: 259 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

m-rishab/Job-recruitment-prediction-and-HR-Dashboard-using-plotly

This project features make it ideal for dynamic HR dashboards, offering insights into candidate profiles and recruitment processes.

Language: HTML - Size: 14.2 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

shikhararyan/Online-Payment-Fraud-Detection-Model-EDA-Classification

This project implements an online payment fraud detection system, combining exploratory data analysis (EDA) and classification using a decision tree classifier. The model achieves high accuracy in identifying fraudulent transactions, providing valuable insights for secure online transactions.

Language: Jupyter Notebook - Size: 1.34 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

saikiranpennam/sugarbeet_analysis

To aid with the prototyping of AI and machine learning models to augment process operations at the Western Sugar Scotts Bluff manufacturing facility and to further investigate several predictive models for fault detection, optimizing sensor placement, and minimizing plant disruption.

Language: HTML - Size: 48.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

suhaibmukhtar/Human-Activity-Recognition-With-Smart-Phone

This project is to build a model that *predicts the human activities* such as __Walking, Walking_Upstairs, Walking_Downstairs, Sitting, Standing__ and __Laying__ as done in Smart-Watches.

Language: Jupyter Notebook - Size: 8.07 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Ademsco10/legendary-goggles

Data analysis on youtube, detecting views, streamers, most subscribed channel and checking for correlation between Subscribers and Likes, Subscribers and Streamers and more.....

Language: Jupyter Notebook - Size: 5.32 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

TehminaKhan91/Fraud-Detection-Linear-Regression

Detecting fraud in credit card transactions using a linear regression model on PCA-transformed features. Highly imbalanced data with 492 frauds out of 284,807 transactions.

Language: HTML - Size: 398 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

nataliatsi/correlation-analysis

Exploração da correlação entre idade de mães adolescentes (13-19 anos) e peso médio de recém-nascidos nos EUA usando dados do CDC. Análise em Python com pandas, matplotlib, seaborn e threading.

Language: Jupyter Notebook - Size: 104 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Himnish/churn-prediction-analysis

Using a telecom company's data of services provided to customers and observing how customers use it to predict if they will decide to continue or cease to be a customer of the company.

Language: R - Size: 0 Bytes - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

siraug/Health-Insurance-Analysis-using-R

This summary captures the application of statistical techniques on a dataset for accurate insights and inferences. The statistical technique used are Normality tests, non-parametric test, correlation.

Size: 46.9 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

juliataborek/The-best-voivodeship-to-start-a-family

Multidimensional analysis to search for the best voivodeship for families with children

Language: R - Size: 3.68 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

KSwaviman/Cracking-The-Personality-Code-A-Behavioral-Research

Our study focused on using the Big Five personality inventory to predict traits from students' smartphone sensor data collected over 2 months under the Horizon Europe project. Through correlation analyses and machine learning with cross-validation, we showed that predictions are reliable and accurate enough for practical use.

Language: TeX - Size: 3.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Jaswin-J/Terro-real-estate-agency

Finding out the most relevant features for pricing of a house

Size: 1.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

dmarks84/Ind_Project_Obesity-Multi-Class-Classification--Kaggle

Independent Project - Kaggle Competition -- I worked on the obesity classification data set as part of a Kaggle Competition of the same name, scoring (for accuracy) above 0.9

Language: Jupyter Notebook - Size: 1.47 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

joshroybal/fortran-hillclimb

hillclimbing attack on simple substitution ciphers

Language: Fortran - Size: 16.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

tendyzen/tendyzen.github.io

Repo for Manzano Analytics HTML website

Language: HTML - Size: 44.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Megh-Bhatt/crypto_currency-price-predictor

The project employs an automated time series forecasting approach using the autots library. This involves leveraging several machine learning algorithms internally to make predictions about future values based on historical data.

Language: Python - Size: 8.79 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Pratyush1296/Exploratory-Data-Analysis-Cardio-Fitness

Exploratory Data Analysis

Language: Jupyter Notebook - Size: 218 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

alikhawaja1/Regression-Models

Different regression models of development indicators using E Views & R

Size: 11.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

hafidaso/Comprehensive-Market-Analysis-of-Airbnb-Listings-Trends-Pricing-and-Host-Insights

This project conducts a thorough market analysis of Airbnb listings, encompassing various aspects such as market trends, property types, pricing, occupancy rates, host distribution, and regulatory impacts.

Language: HTML - Size: 4.69 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

MadhuBala11/DiabetesPrediction

In this project, I have used logistic regression, a supervised machine learning algorithm, to predict whether a person has diabetes or not based on various features such as age, blood pressure, glucose level, body mass index, etc. I have used Python and popular libraries such as Pandas, Scikit-Learn, and Matplotlib to perfom model building

Language: Jupyter Notebook - Size: 3.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Mukul-kush/Bank-Marketing-Case-Study

Bank of Corporate Case Study

Size: 23 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Francesco-Sovrano/Swiss-G2C-User-Guide-Analysis

Extensive analysis of user guides in Swiss government-to-citizen software, correlating guide features with canton socio-economic factors.

Language: Python - Size: 3.3 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Mehrab-Kalantari/Credit-Card-Fraud-Detection

Credit card transactions fraud detection using classic algorithms

Language: Jupyter Notebook - Size: 2.07 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

eismont21/correlation-discovery-seminar

A seminar paper on efficient correlation discovery in time-series streams, exploring global and local correlation detection methods.

Language: TeX - Size: 1.68 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

xinguanca/MLproject_creditcardfraud

My first machine learning project.

Language: Jupyter Notebook - Size: 33.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

RimTouny/Credit-Card-Fraud-Detection

Focused on advancing credit card fraud detection, this project employs machine learning algorithms, including neural networks and decision trees, to enhance fraud prevention in the banking sector. It serves as the final project for a Data Science course at the University of Ottawa in 2023.

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cpypasta/cods

Correlation analysis between COVID-19 and causes of death.

Language: R - Size: 1.59 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1

Scrayil/GlobClus_prop-Analysis

This aim of this project is to analyze globular star clusters in the Milky Way, in order to understand their dynamics. The conducted study examined the properties that affect the central velocity dispersion, their impact and the correlations between them.

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MarcoZazzini1989/Stock-market-analysis-for-Italian-Banks

In this project, we'll analyse data from italian stock market for bank stocks.

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YoweioY/Education_research_R

碩論-學習目標與自信心對學習情緒與成績影響分析

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OmBaval/Airline-Customer-Satisfaction

This project employs a dataset of 103,904 entries with 25 features. Utilizing the XGBoost classifier,The workflow involves data fetching, feature selection, preprocessing, correlation analysis, best feature selection, data rescaling, train-test split, and target balancing. Predicts whether a customer will experience satisfaction with a flight.

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KyroKwok2021/Study-Bitcoin-Gold-Correlation

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

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