Avinraj01/SHL-Grammar-Scoring-Engine-for-Voice-Samples

This model predicts grammar scores (1–5) from audio files. It uses Whisper to transcribe speech to text, cleans the text, and extracts features with TF-IDF. A Random Forest Regressor is trained to learn grammar score patterns. Evaluation via Pearson Correlation showed good results.

Language: Jupyter Notebook - Size: 62.5 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 0

meantrix/corrp

Compute multiple types of correlations analysis (Pearson correlation, R^2 coefficient of linear regression, Cramer's V measure of association, Distance Correlation,The Maximal Information Coefficient, Uncertainty coefficient and Predictive Power Score) in large dataframes with mixed columns classes(integer, numeric, factor and character) in parallel backend.

Language: R - Size: 18.3 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 8 - Forks: 3

maxgfr/similarities

This package contains functions to find similarities between arrays

Language: TypeScript - Size: 1.69 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 2 - Forks: 1

nadeyyah/PEMILIHAN-JENIS-KORELASI-TERBAIK-BERDASARKAN-ASUMSI-NORMALITAS-PADA-INDIKATOR-PERTUMBUHAN-SEMANGKA

Pemilihan Jenis Korelasi Terbaik Berdasarkan Asumsi Normalitas Pada Indikator Pertumbuhan Semangka.

Language: R - Size: 16.6 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 1

Ibraddah/SHL-Grammar-Scoring-Engine-for-Voice-Samples

This model predicts grammar scores (1–5) from audio files. It uses Whisper to transcribe speech to text, cleans the text, and extracts features with TF-IDF. A Random Forest Regressor is trained to learn grammar score patterns. Evaluation via Pearson Correlation showed good results.

Language: Jupyter Notebook - Size: 34.2 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

YenLinWu/Daily_Work_of_Data_Science

資料科學的日常研究議題

Language: Jupyter Notebook - Size: 19.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 1

Ackson507/Macroeconomic-Modeling-with-VAR-and-VECM-Models-on-Zambian-Macroenomics-

Analyzing multiple relationships between macroeconomic variables and their impact on inflation in Zambia from 2013 to 2024.

Size: 773 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Vikascd/Netflix-Recommender-System

Sistema de recomendación de títulos de Netflix basado en contenido. Incluye filtros por título, género y tipo de contenido (películas o series) con interfaz interactiva en Jupyter Notebook.

Language: Jupyter Notebook - Size: 2.84 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

natgluons/WRF-planetary-boundary-layer-parameters

Analysis and visualization of WRF planetary boundary layer parameters using Pearson correlation, Cartopy mapping, and radiation/runoff/waveflux modeling

Language: Python - Size: 508 KB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

GiatrasKon/Clustering-Countries-Socioeconomic-Health-Analysis

Exploration and analysis of socio-economic and health data from 167 countries using MATLAB. Application of clustering algorithms to identify development patterns, visualize disparities, and understand global trends.

Language: MATLAB - Size: 2.72 MB - Last synced at: 6 days ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

Willie-Conway/Boston-Housing-Market-Analysis

This repository contains an 📈analysis of the 🏘️Boston Housing Data focusing on the factors influencing housing prices. Using statistical tests and data visualizations, we explore key relationships, including the impact of proximity to the Charles River 🌊, the age of homes 🏡, the NOX concentrations 🧪, and employment center distances 🚗.

Language: Jupyter Notebook - Size: 145 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Artmann/correlations

Command line utility for calculating Pearson Correlation Coefficients

Language: Ruby - Size: 5.86 KB - Last synced at: 12 days ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0

PogloLopez/nesarc_research

Analyzing the relationship between Social Anxiety Disorder (SAD) and family history of behavioral problems using NESARC data. Includes statistical hypothesis testing (ANOVA, Chi-Square, Pearson Correlation, Moderation Analysis). Developed as part of the Data Analysis and Interpretation Specialization from Wesleyan University (Coursera).

Language: Jupyter Notebook - Size: 427 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Niteshchawla/Movie-Recommender-System

To create a Recommender System to show personalized movie recommendations based on ratings given by a user and other users similar to them in order to improve user experience.

Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

pngo1997/Joke-Recommender-System-Image-Segmentation-Clustering

Create an Item based collaborative filtering Recommender System and Image Segmentation Clustering.

Language: Jupyter Notebook - Size: 396 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

noluyorAbi/Bravais-Pearson-Interactive

Bravais-Pearson Interactive – A web app for visualizing Pearson correlation. Generate datasets, analyze correlations, and explore regression lines, r², and p-values interactively.

Language: Python - Size: 147 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

kivanc57/feature_comparison

This project explores the relationship between features and diagnosis in cancer data. Using methods like boxplots, scatterplots, PCA, k-means clustering, and logistic regression, we analyze and visualize data to understand health indicators.

Language: R - Size: 3.33 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Savaw/Insighter

Quick implementations of some concepts to gain insight! :)

Language: Jupyter Notebook - Size: 241 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

edlansiaux/muinther

R package to compute Pearson correlation and mutual information theory outputs for multiple variables association study. Final outputs include a Pearson contingence heatmap, a theory information entropy outputs table and a theory information entropy heatmap.

Language: R - Size: 2.04 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

Schrausser/SCR-CLR7r

Microsoft Windows screensaver, simulating and displaying the principle of bivariate regression or correlation as part of the SCHRAUSSER-MAT tool compilation. 

Language: C++ - Size: 93.8 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

hariprasath-v/Solafune_Aerosol_Optical_Depth_Estimation

Estimate AOD using Sentinel-2 data, leveraging its spectral bands and spatial resolution to improve accuracy.

Language: Jupyter Notebook - Size: 14.3 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

myself-aas/Quantium_Data_Analytics_Forage

This project analyzes retail customer chip purchasing behavior using Python, focusing on customer segmentation and key spending drivers to provide data-driven insights for strategic category management recommendations.

Language: Jupyter Notebook - Size: 17.7 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

zohrabgulushev/Data-Science-Project

Language: Jupyter Notebook - Size: 1.08 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

mbar0075/Object-Detection-Correlation-Saliency-vs-Depth

Correlation of Object Detection Performance with Visual Saliency and Depth Estimation

Language: Jupyter Notebook - Size: 95.8 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

akthammomani/AI_powered_heart_disease_risk_assessment_app

Build a Web App called AI-Powered Heart Disease Risk Assessment App

Language: Jupyter Notebook - Size: 31.1 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 4 - Forks: 0

Bharathi123208/Python_Diwali_Sales_EDA_analysis

Python Exploratory Data Analysis

Language: Jupyter Notebook - Size: 543 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

AliAmini93/Fault-Detection-in-DC-microgrids

Using DIgSILENT, a smart-grid case study was designed for data collection, followed by feature extraction using FFT and DWT. Post-extraction, feature selection. CNN-based and extensive machine learning techniques were then applied for fault detection.

Language: Jupyter Notebook - Size: 20 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 58 - Forks: 3

aryanrzn/GIS

I used R programming language and Pearson correlation coefficient test in order to analyze the parameters to check if the water is appropriate for either drinking or agricultural usage.

Language: R - Size: 35.2 KB - Last synced at: 10 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Manisha2612/Recommendation_engine

Recommendation for new movies to watch on netflix based on given dataset using Pearsons Correlation and SVD

Language: Jupyter Notebook - Size: 1.54 MB - Last synced at: 10 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Senich17/educational-impact-analysis

A series of analyses to investigate the impact of parental education level on students' math scores.

Language: Jupyter Notebook - Size: 52.7 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

NimraSaeed23/Statistical-Package-for-the-Social-Sciences

This repository contains various statistical analyses performed using the SPSS. The analyses include One Sample T-Test, Paired Sample, Independent Sample, ANOVA, Pearson Correlation, and Chi-Square. Each analysis is accompanied by visual representations such as histograms, box plots and more.

Size: 2.42 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

vbhvsingh0/NFLteam_corr_population

The goal of this project is to find the correlation in between NFL teams' win and loss with the population of the city.

Language: HTML - Size: 81.1 KB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

jhaayush2004/Understanding_Correlations

"Explore and understand various correlation measures such as Pearson, Spearman, and Kendall through detailed explanations, mathematical derivations, and practical examples.

Size: 5.25 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

kmedian/korr

collection of utility functions for correlation analysis

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

Akshat122/Movie-Recommendation-System

Movie-Recommendation-System

Language: Python - Size: 7.33 MB - Last synced at: 12 months ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 1

allenvox/pearson-correlation 📦

Calculating the Pearson Correlation Coefficient for big data

Language: C++ - Size: 623 KB - Last synced at: 14 days ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

john-fotis/Movie-Recommender

A movie recommender written in Go that suggests movies considering various factors within a particular dataset, encompassing users, movies, and movie ratings.

Language: Go - Size: 1.45 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

jayashreeraman/RecommenderSystemPrototype

A prototype of a recommender system based on Euclidean Similarity/Pearson Similarity Coefficient

Language: Python - Size: 9.77 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0

Gkontopodis/Data-Analysis-Tools

Wesleyan University

Language: Python - Size: 604 KB - Last synced at: about 1 year ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 3

sorodocosmin/feedbackHHC

This project focuses on analyzing patient feedback regarding the treatment provided by home healthcare service agencies.

Language: Python - Size: 5.52 MB - Last synced at: 11 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

amitkp57/dbms-correlated-columns-detection

Detecting correlated columns in DBMS systems using techniques like Pearson Correlation, LSH Minhashing and Random Sampling.

Language: Jupyter Notebook - Size: 594 KB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

adarshpalaskar1/Movie-Recommender-System

Recommendation system built using multiple ML models that aim to predict users' interests based on their past behavior and preferences.

Language: Python - Size: 3.65 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1

fblupi/recommender-system-cf-java

Recommender System based on Collaborative Filtering using Java

Language: Java - Size: 860 KB - Last synced at: about 1 month ago - Pushed at: about 7 years ago - Stars: 3 - Forks: 3

juninhoojl/pearson_correlation_coefficient

This Rust program reads values from a CSV file, calculates various statistics, and computes the Pearson Correlation Coefficient.

Language: Rust - Size: 3.91 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

KwokHing/YandexCatBoost-Python-Demo

Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data exploration, cleaning, preprocessing and model tuning are performed on the dataset

Language: Jupyter Notebook - Size: 743 KB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 30 - Forks: 16

jamestiotio/pns

SUTD ISTD 2021 50.034 Introduction to Probability & Statistics 1D Project

Language: Python - Size: 6.79 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

luceldasilva/covid_19_italia

Una entidad gubernamental responsable de la gestión de la salud en Italia enfrenta el desafío de comprender y analizar la propagación del COVID-19 para tomar decisiones informadas y eficaces en la gestión de la pandemia. Como científico de datos nuestra tarea es presentar insights que responden a las inquietudes de la entidad

Language: Jupyter Notebook - Size: 1.38 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

aungkaungpyaepaing/Book-Recommendation-System

Book recommendation system using user base collaborative filter Algorithm and testing the accuracy result by comparing with different algorithms

Language: Jupyter Notebook - Size: 331 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

rubenvar/calculate-correlation

A package that calculates correlation between two arrays. Simple, with no dependencies

Language: JavaScript - Size: 154 KB - Last synced at: 7 days ago - Pushed at: 11 months ago - Stars: 8 - Forks: 0

apoorvadudani/Forecasting-House-Prices-using-Multivariate-Causal-Regression

I use Microsoft Excel to forecast house prices for Damian Realty, identify factors affecting house prices using causal analysis, and provide inferences for realty stakeholders

Size: 52.7 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

swastipriya/Agglomerative-hierarchical-clustering-on-pearson-correlation

Language: R - Size: 13.7 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 2

CasperJaa/Analysing-e-commerce-book-sales

E-commerce site data preparation and sales analysis to answer customer profile and sales questions

Language: Jupyter Notebook - Size: 13.4 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

harryyizihan/predict_champions

League of Legends Champion Recommender System

Language: Jupyter Notebook - Size: 27.1 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

focyte/Stats

These scripts perform statistical analyses on input data

Language: Python - Size: 132 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

doguilmak/Book-Recommendation-with-Collaborative-Filtering

In this project, with Pearson correlation, book recommendation algorithm builded to make recommendation between users by their ratings.

Language: Jupyter Notebook - Size: 35.2 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

tlatkowski/tf-feature-selection

Implementation of various feature selection methods using TensorFlow library.

Language: Python - Size: 33.2 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 3

FrankLSilva/all-countries-dataviz

Data vizualitation and several graphs, based on the dataset: AllCountries.csv

Language: Python - Size: 54.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

GNDEC-Minor-Project-KGJ/book-recommendation-system

A recommendation system for books. Built by following two filtering methods that are Collaborative Filtering and Content Based Filtering. Algorithms used are KNN, Pearson Correlation, and TF-IDF. Every dataset used can be easily found in the data folder of the respository.

Language: Jupyter Notebook - Size: 29.8 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

swilliamc/SAS_StatisticalBusinessAnalyst

SAS Professional Certificate in Statistical Business Analyst using SAS

Size: 57 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 1

ravexina/python-recommender-system

A simple recommender system in python implementing: ItemKNN, UserKNN, ItemAverage, UserAverage, UserItemAverage, etc.

Language: Python - Size: 32.2 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 4

pancr9/Netflix-Recommender-System

ITCS 6190 : Cloud Computing for Data Analysis project. Movie Recommendation Engine for Netflix Data with custom functions implementation and library usage.

Language: Python - Size: 1.75 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 24 - Forks: 6

jalvesm/fundamental-statistics

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

Language: Python - Size: 18.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

mdshihabullah/federated-predicted-euclidean-distance

Calculating pairwise euclidean distance matrix for horizontally partitioned data in federated learning environment

Language: Python - Size: 30.4 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

sohilsshah91/Spatio-Temporal-Crime-Analysis-Time-Series-NYC

This project gives an overview of crime time analysis in New York City . We have created Python Jupyter notebooks for spatial analysis of different crime types in the city using Pandas, Numpy, Plotly and Leaflet packages. As a second part to this analysis, we worked on ARIMA model on R for predicting the crime counts across various localities in the city based on correlations of various demographics correlation in each locality.

Language: Jupyter Notebook - Size: 2.07 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 13 - Forks: 4

shubhamchouksey/Movie-Recommendation

Recommedation of movies to a user based on user rating data.

Language: Jupyter Notebook - Size: 2.53 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 4

ddellagiacoma/datamining-2016-project

Four different ways to predict reviews' rating through text analysis

Language: Java - Size: 5.65 MB - Last synced at: over 1 year ago - Pushed at: over 8 years ago - Stars: 0 - Forks: 0

bmunn99/Clemson-Grad-R-scripts

All the R scripts I used during my time as a grad student at Clemson University

Language: R - Size: 60.5 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

chiapeilin/Recommender-Systems

There are three parts in total.First, use cosine (cos) and pearson correlation coefficient (pcc) as two different similarity metrics to compute the similarity.Second, use matrix factorization (MF) to predict user‐movie ratings.

Language: Jupyter Notebook - Size: 636 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

dartwinshu/dibimbing-python-for-data-analysis

Course of business intelligence bootcamp by Dibimbing

Language: Jupyter Notebook - Size: 1.19 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

IshtyM/Books-Recommender-System-

Books recommendation system by collaborative filtering and certain visualization are done on data.

Language: Jupyter Notebook - Size: 2.88 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0

jonatan-parra/sistema-de-reconocimiento-de-voz

Se construyo un sistema de reconocimiento de voz que permite al usuario identificarse por medio de su voz para entrar a una aplicación.

Language: Matlab - Size: 775 KB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0

karttiik/Recommender-System

Movie Recommendation System

Language: Java - Size: 7.3 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

JPedroPy/Data_Analysis_Wine_Quality

A data analysis project aimed at enhancing the quality of the provided wines through an in-depth analysis of the underlying chemical parameters.

Language: Jupyter Notebook - Size: 4.07 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Sharanpai/MLshortfunctions

Language: Jupyter Notebook - Size: 29.3 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 1

SarahAyaz/Mid_Atlantic_Wage_Analysis

Quantitative Analysis of Mid-Atlantic Wage Data using R

Language: R - Size: 1.4 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Hafez2004/Pearson-Calculator

The Pearson correlation coefficient program is a C++ program that takes input from the user in the form of two vectors of float values, representing two variables X and Y.

Language: C++ - Size: 35.5 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

nitinjosephrepo/Feature-Selection-Exploratory-Data-Analysis

Effort here is to identify important features in relation to our target variable using multiple Correlation methods based on data type. Feature selection is important for ML models to avoid 'curse of dimensionality' but for this dataset we will be using it build our intution that benefits our later EDA effort

Language: Jupyter Notebook - Size: 445 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

elshaabigail/Trending-Youtube-Analysis

A project to explore various aspects and factors associated with Youtube videos to gain valuable insights.

Language: Jupyter Notebook - Size: 328 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

adknudson/PearsonCorrelationMatch.jl

Compute the Pearson correlation to be used in Gaussian copulas

Language: Julia - Size: 51.8 KB - Last synced at: 23 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

cbsteh/SolarCorrMap

Visualize correlations as a solar map

Language: Julia - Size: 140 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Arpit007/alpha

Personality based Recommendation System

Language: Python - Size: 1.55 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 1

sergioviniciuss/image-analyzer

Images analyzer written in Python that uses Pearson Correlation Coefficient

Language: Python - Size: 695 KB - Last synced at: 12 months ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0

LinggarM/statistics

My personal repository where I can keep files associated with my learning of Statistics

Language: Python - Size: 2.93 KB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

robotomize/correlation-rank-php 📦

This is a simple implementation of the package to calculate correlation coefficient

Language: PHP - Size: 3.91 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 0

robotomize/correlation-rank.js 📦

This is a simple implementation of the package to calculate correlation coefficient

Language: JavaScript - Size: 7.81 KB - Last synced at: 28 days ago - Pushed at: about 7 years ago - Stars: 3 - Forks: 0

AchintaMitra23/Movie-Recommendation-System-Using-Sentiment-Analysis

System is going to filter out the best possible movies basis on some criteria in recommendation area even after analyzing and previewing the reviews of the particular movie using sentiment analysis theory.

Language: Jupyter Notebook - Size: 11.7 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

githublgc/recommendation-system

推荐系统

Size: 23.7 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

LokeshSreenathJ/Bankruptcy-Prediction---Analytics

Built XGBoost Classifier using SMOTE technique and Hyper-Parameter Tuning

Language: Jupyter Notebook - Size: 10.1 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

DrStef/Data-Analysis-with-Python

Language: Jupyter Notebook - Size: 1.98 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

DrStef/Statistics-for-Data-Science-with-Python

Language: Jupyter Notebook - Size: 3.06 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

abishek-as/Netflix-Movie-Recommendation

This repository is for Netflix movie recommendations using various content and collaborative-based methods like Word2vec, Node2vec, Sentence Transformer, MiniBatchKMeans, Cosine Similarity, Pearson's Correlation, and Singular Value Decomposition (SVD).

Language: Jupyter Notebook - Size: 1.78 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 2

remingm/covid19-correlations-forecast

Web app with interactive forecasts based on correlations

Language: Python - Size: 22.8 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 15 - Forks: 3

artisan1218/Recommendation-System

Hybrid RecSys, CF-based RecSys, Model-based RecSys, Content-based RecSys, Finding similar items using Jaccard similarity

Language: Python - Size: 63 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 1

schatzederwelt/customer-churn-prediction

Предиктивный анализ оттока клиентов

Language: Jupyter Notebook - Size: 1.05 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

mohan-aditya05/credit_card_customer_segmentation

Develop a customer segmentation to define market strategy. The sample dataset summarizes the usage behaviour of about 9000 active credit card holders during the last 6 months.

Language: Jupyter Notebook - Size: 2.16 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 4 - Forks: 7

JulianoGaspar/testesEstatisticos

Como descrever meus dados? Quais testes estatísticos devo usar? Síntese dos testes estatísticos (introdutórios) que podem ser usados em uma análise de dados em saúde.

Size: 1.83 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

gnsaddy/book-recommendation-system-webapp

Book Recommendation System Web App

Language: SCSS - Size: 21.3 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

lmizner/codecademy_nba_trends

Investigate whether there is an association between two variables

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ndcastillo/inferential-statistics-DS-AI

Contains inferential statistical practices for machine learning models and analyses. Using Python and developing statistical thinking to work with a limited sample of data and be able to generate predictions about it. Applying confidence intervals to estimate unknown values. Using bootstrapping to simulate data acquisition repeatedly. Development of hypotheses of their models. Sampling of populations to facilitate analysis.

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peter-w-bryant/MovieRecAPI

A backend API for generating movie recommendations using other peoples' ratings from a MovieLens dataset.

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