regression-analysis | Topic | Ecosyste.ms: Repos

Topic: "regression-analysis"

code-pushup/cli

A CLI to run all kinds of code quality measurements to align your team with company goals

Language: TypeScript - Size: 14.5 MB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 325 - Forks: 15

TatevKaren/mathematics-statistics-for-data-science

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

Language: R - Size: 15.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 138 - Forks: 46

google/dana

Test/benchmark regression and comparison system with dashboard

Language: JavaScript - Size: 7.35 MB - Last synced at: 21 days ago - Pushed at: 11 months ago - Stars: 115 - Forks: 23

philippe-ostiguy/PyBacktesting

🚀 Optimizing the Elliott Wave Theory using genetic algorithms to forecast the financial markets.

Language: Python - Size: 6.26 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 99 - Forks: 41

andy489/Empirical_Methods_and_Statistics

Probability and Statistics, Events, Random variables, Distributions, Moments, Main Limit Theorems, Hypothesis, Regression and more. Statistical Computing and Graphics with R.

Language: R - Size: 732 MB - Last synced at: 28 days ago - Pushed at: 3 months ago - Stars: 64 - Forks: 7

applied-geodesy/jag3d

Java·Applied·Geodesy·3D - Least-Squares Adjustment Software for Geodetic Sciences

Language: Java - Size: 30.4 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 63 - Forks: 17

cyberscribe/d20datascience

Data science investigations into the mechanics of the world's greatest role playing game

Language: Jupyter Notebook - Size: 3.42 MB - Last synced at: about 1 month ago - Pushed at: almost 5 years ago - Stars: 55 - Forks: 8

hunar4321/RLS-neural-net

Recursive Leasting Squares (RLS) with Neural Network for fast learning

Language: Jupyter Notebook - Size: 510 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 53 - Forks: 9

Koushikphy/Interactive_Data_Editor

A Software to interactively edit data in a graphical manner

Language: JavaScript - Size: 41.6 MB - Last synced at: 29 days ago - Pushed at: 8 months ago - Stars: 46 - Forks: 10

Hyperfoil/Horreum

Benchmark results repository service

Language: Java - Size: 11.9 MB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 44 - Forks: 31

mrtkp9993/Statistical-Modeling-Examples

Basic statistical modelling examples.

Language: R - Size: 5.16 MB - Last synced at: 3 days ago - Pushed at: 11 months ago - Stars: 42 - Forks: 17

lalvim/PartialLeastSquaresRegressor.jl

Implementation of a Partial Least Squares Regressor

Language: Julia - Size: 172 KB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 40 - Forks: 6

junhwanjang/whoscored

Football player rating analysis and position recommendation

Language: Jupyter Notebook - Size: 491 KB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 39 - Forks: 14

meiyulee/MathAI

免費數字驅動的數學模型人工智能 | 為你的數字規律建立數學模型 | C語言免安裝軟體

Language: Batchfile - Size: 44.5 MB - Last synced at: 11 days ago - Pushed at: 12 months ago - Stars: 38 - Forks: 1

m-zakeri/CodART

Source Code Automated Refactoring Toolkit

Language: Python - Size: 63.1 MB - Last synced at: 29 days ago - Pushed at: 2 months ago - Stars: 36 - Forks: 59

jmboehm/GLFixedEffectModels.jl

Fast estimation of generalized linear models with high dimensional categorical variables in Julia

Language: Julia - Size: 456 KB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 33 - Forks: 5

ooples/AiDotNet

A new library for all of the newest ai algorithms

Language: C# - Size: 5.66 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 29 - Forks: 7

geekquad/Fraud-Detection

A Person Of Interest identifier based on ENRON CORPUS data.

Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: 17 days ago - Pushed at: almost 5 years ago - Stars: 28 - Forks: 8

JavierCastilloGuillen/Quantitative_Toolbox

On this repository you'll find tools used for Quantitative Analysis and some examples such: MonteCarlo Simulations, Linear Regression, General Data Visualiztions, Time-Series Analysis, etc.

Language: Jupyter Notebook - Size: 7.79 MB - Last synced at: 12 days ago - Pushed at: about 2 years ago - Stars: 27 - Forks: 8

sharmaroshan/Big-Mart-Sales-Prediction

Using Machine Learning Algorithms for Regression Analysis to predict the sales pattern and Using Data Analysis and Data Visualizations to Support it.

Language: Jupyter Notebook - Size: 648 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 27 - Forks: 10

CarsonScott/CALM

Conditional Associative Logic Memory

Language: Python - Size: 1.28 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 26 - Forks: 3

bradjasper/Mixpanel-Statistics

Perform statistics on Mixpanel API data

Language: Python - Size: 119 KB - Last synced at: about 2 years ago - Pushed at: about 11 years ago - Stars: 26 - Forks: 2

benthecoder/JohnHopkinsDataScience

My Code Repository for Coursera Data Science Specialization by John Hopkins University

Language: HTML - Size: 133 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 22 - Forks: 13

francescopisu/UsedCarPricePrediction 📦

🚗 Solving the problem of predicting the price of a used car using Sklearn's supervised machine learning techniques.

Language: Jupyter Notebook - Size: 31.9 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 20 - Forks: 7

RenatoMaynard/Statistical-Modeling-and-Regression-Analysis-Life-Expectancy

Statistical Modeling and Regression Analysis for Life Expentancy

Language: R - Size: 139 KB - Last synced at: 6 days ago - Pushed at: about 2 months ago - Stars: 19 - Forks: 0

ParallelGSReg/GlobalSearchRegression.jl

Julia's HPC command for automatic feature/model selection using all-subset-regression approaches

Language: Julia - Size: 19.1 MB - Last synced at: 28 days ago - Pushed at: 3 months ago - Stars: 18 - Forks: 4

ShuaiGuo16/Gaussian-Process

Implementing a Gaussian Process regression model from scratch

Language: Jupyter Notebook - Size: 616 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 18 - Forks: 12

NikhilaThota/CapstoneProject_House_Prices_Prediction

Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and suggested a best model to predict the final sale price of a house. Seaborn is used to plot graphs and scikit learn package is used for statistical analysis.

Language: Jupyter Notebook - Size: 7.91 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 18 - Forks: 13

sharmaroshan/Stock-Market-Predictions

Predicting the stock market opening values using Deep learning's Model Recurrent Neural Networks which is a very powerful model.

Language: Jupyter Notebook - Size: 121 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 17 - Forks: 13

alex-moreno/glitcherbot

Visual regression testing made easy. Automating the boring stuff

Language: PHP - Size: 298 KB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 15 - Forks: 10

kennedyCzar/ALGORITHM-TRADING-AND-STOCK-PREDICTION-USING-MACHINE-LEARNING

ALGORITHM TRADING AND STOCK PREDICTION USING MACHINE LEARNING

Language: Python - Size: 12.2 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 15 - Forks: 12

jxareas/Linear-Regression

Data Wrangling, Linear Models & other misc. Inferential Statistics.

Language: R - Size: 892 KB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 14 - Forks: 0

sharmaroshan/Predict-Future-Sales

It is from a kaggle competition where we have to predict the future sales using Machine Learning or Deep Learning. It is a Advanced Regression Problem where Statistics and time series analysis is also required. This problem can be very well done by Deep Learning's Model Recurrent Neural Networks.

Language: Jupyter Notebook - Size: 3.12 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 14 - Forks: 5

atifkarim/Time-Series-Forecasting-Using-Machine-Learning-Algorithm

Sensor data of a renowned power plant has given by a reliable source to forecast some feature. Initially the work has done with KNIME software. Now the goal is to do the prediction/forecasting with machine learning. The idea is to check the result of forecast with univariate and multivariate time series data. Regression method, Statistical method.

Language: Jupyter Notebook - Size: 121 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 2

bhattbhavesh91/multivariate-adaptive-regression-splines-demo

A small tutorial on MARS: Multivariate Adaptive Regression Splines in Python

Language: Jupyter Notebook - Size: 16.6 KB - Last synced at: 22 days ago - Pushed at: almost 4 years ago - Stars: 13 - Forks: 8

sharmaroshan/Black-Friday-Regression-Analysis

Predicting Prices for the products to be sold on Black Friday in US using Regression Analysis, Feature Engineering, Feature Selection, Feature Extraction and Data analysis - Data Visualizations.

Language: Jupyter Notebook - Size: 6.85 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 13 - Forks: 7

kennethleungty/Principal-Component-Regression

Principal Component Regression - Clearly Explained and Implemented

Language: Jupyter Notebook - Size: 1.04 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 12 - Forks: 5

ahmetozlu/nonlinear_regression_keras

Training of a neural network for nonlinear regression prediction with TensorFlow and Keras API.

Language: Jupyter Notebook - Size: 365 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 12 - Forks: 6

mattmasten/regsensitivity

A Stata Package for Regression Sensitivity Analysis

Language: Stata - Size: 1.66 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 11 - Forks: 4

ammarlodhi255/student_performance_indicator_end-to-end_implementation

An end-to-end machine learning project, student performance indicator. The goal of this project is to understand the influence of the parents background, test preparation, and various other variables on the students performance.

Language: Jupyter Notebook - Size: 2 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 11 - Forks: 1

OlegRyzhkov2020/oil-project

Oil Data Analytics

Language: Jupyter Notebook - Size: 60.3 MB - Last synced at: 8 months ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 5

sharmaroshan/Abalone-Age-Prediction

Predicting Algae's age using different attributes and Machine Learning Algorithms for Regression Analysis.

Language: Jupyter Notebook - Size: 1.41 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 10 - Forks: 4

Abhishekmamidi123/Regression-Analysis

Linear Regression Analysis on Wine data - Pre-processing data, Exploratory Data Analysis, Building a model, Check assumptions, Goodness of fit and Compare with different methods.

Size: 1.69 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 10 - Forks: 9

rafjaa/KDD-BR-2018

Winning solution of the Kaggle KDD BR 2018 machine learning competition

Language: Jupyter Notebook - Size: 920 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 10 - Forks: 3

hoangsonww/Amazon-Reviews-Analysis

🧐 This project analyzes Amazon Fine Food Reviews to investigate whether negative reviews are more emotionally intense and lexically repetitive than positive ones. Using R, we apply sentiment analysis and lexical diversity metrics to uncover patterns in consumer review language.

Language: R - Size: 297 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 9 - Forks: 5

amirhessam88/Regression-Error-Characteristic-Curve

Regression Error Characteristic (REC) Curves in Python

Language: Python - Size: 2.9 MB - Last synced at: 9 months ago - Pushed at: 10 months ago - Stars: 8 - Forks: 4

ManikantaSanjay/crop_yield_prediction_regression

Crop Yield Prediction using various ML approaches - Random-Forest Regressor, Gradient-Boosting Regressor, Decision-Tree Regressor, Support-Vector Regressor

Language: Jupyter Notebook - Size: 1.74 MB - Last synced at: 29 days ago - Pushed at: almost 2 years ago - Stars: 8 - Forks: 2

nishitpatel01/predicting-age-of-abalone-using-regression

Predicting the age of abalone using multiple regression in R

Size: 24.4 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 10

sharmaroshan/Avito-Demand-Prediction-Challenge

It is a Competition for Regression Challenge held by Kaggle, It is based on a Avito Dataset whose size is 123GB which can be accessed from Kaggle, I have done Data Pre-processing, feature engineering, feature extraction, data visualization, machine learning, stacking and boosting

Language: Jupyter Notebook - Size: 3.56 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 8 - Forks: 3

JoannaBroniarek/House-Prices-Advanced-Regression-Techniques

This project consists in competing in the following Kaggle competition: https://www.kaggle.com/c/house-prices-advanced-regression-techniques

Language: Jupyter Notebook - Size: 6.6 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 8 - Forks: 5

guoqi228/amazon_reviews_app_flask

A Flask web application to scrape and analysis Amazon Reviews

Language: Python - Size: 5.76 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 3

emily1618/Google-Data-Analytics-Bellabeat-Case-Study

Bellabeat Case Study - Google Data Analytics Capstone

Size: 1.33 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 7 - Forks: 8

Shuyib/data-version-ctrl

Data version control with Makefile and DVC for a regression task to estimate insurance costs for certain individuals.

Language: Python - Size: 678 KB - Last synced at: 21 days ago - Pushed at: 3 months ago - Stars: 6 - Forks: 1

LastAncientOne/Technology_Investment

Analyzing and investing Technology Stocks

Language: R - Size: 2.71 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 1

victor-luu191/house_price

Language: Jupyter Notebook - Size: 10.7 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 2

shanggangli/tianchi-Sina-weibo-interactive-prediction

天池项目：新浪微博互动预测

Language: Python - Size: 13.7 KB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 6 - Forks: 3

rtimbro185/syr_mads_mar653_marketing_analytics

Syracuse University, Masters of Applied Data Science - MAR 653 Marketing Analytics

Language: HTML - Size: 50.8 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 6 - Forks: 2

Lunarestia/MAT243-Applied-Statistics-for-STEM-I

PYTHON- Projects in my MAT-243 STATS for STEM I course at SNHU (HTML files and Python files with source code and reports)

Language: HTML - Size: 5.46 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 6 - Forks: 2

marcotav/machine-learning-regression-models

This repository contains only projects using regression analysis techniques. Examples include a comprehensive analysis of retail store expansion strategies using Lasso and Ridge regressions.

Language: Jupyter Notebook - Size: 1000 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 6 - Forks: 3

Cyberoctane29/TikTok-Claims-Classification-End-to-End-Analysis-and-Modeling

This project analyzes TikTok videos to classify claims vs. opinions using Python. It includes EDA, statistical tests, logistic regression, and ML models (Random Forest, XGBoost) to support content moderation. Built with pandas, scikit-learn, and Tableau, the solution helps TikTok automate content review and enhance moderation efficiency.

Language: Jupyter Notebook - Size: 24.6 MB - Last synced at: 18 days ago - Pushed at: 24 days ago - Stars: 5 - Forks: 0

Fgazzelloni/oregonfrogs

Dataset containing radio frequencies, geo-locations, and habitat types for Oregon frogs

Language: R - Size: 4.96 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 5 - Forks: 0

KaramiMostafa/MachineLearningInHealthcare

This repository focuses on two machine learning projects in the healthcare domain.

Language: Python - Size: 3.8 MB - Last synced at: 5 months ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 0

KartTrack-lap/Kartrider-game-analysis

유저가 선호하는 트랙을 만들기 위해서는 어떤 특성을 고려해야할까요? 카트타고 출근팀의 Kartrider-game-anlysis는 신규 트랙 디자인을 고민하는 카트라이더 트랙 디자이너를 위해 유저가 선호하는 트랙의 특징을 분석하는 프로젝트입니다.

Language: Jupyter Notebook - Size: 34.3 MB - Last synced at: 7 months ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

ndleah/stat-learning

📚 Notes for ITSL

Language: CSS - Size: 18.2 MB - Last synced at: 6 days ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 1

bissessk/Regression-Analysis-of-COVID-19

The objective of this project is to study the COVID-19 outbreak using basic statistical techniques and make short term predictions using ML regression methods.

Language: Jupyter Notebook - Size: 1.14 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 2

sjmiller8182/RegressionHousingPrices

Project using multiple linear regression to model prices of houses in Ames, IA.

Language: R - Size: 17.7 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 5

KushagraChauhan/groovy

Predict the shirt size by images

Language: Jupyter Notebook - Size: 4.52 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 4

sharmaroshan/Black-Friday

This time I am doing it using R language. let's see the results. The solutions includes eda(exploratory data analysis), data visualizations, modelling with Machine learning Models such as XgBoost and AdaBooost etc and check the performance using rmse metrics etc to compare the results.

Language: R - Size: 9.4 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 5 - Forks: 1

dsp-uga/einstein

Solar Irradiance Prediction using PySpark

Language: Python - Size: 481 KB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 5 - Forks: 3

harunurrashid97/Regression-with-python-and-R

Regression with Python & R.

Language: Jupyter Notebook - Size: 1.83 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 5 - Forks: 3

HuyTu7/NBA-BasketballStats

High Accuracy of NBA game outcome & team performance prediction and outstanding player detection.

Language: HTML - Size: 3.4 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 0

FaisalAhmed21/CSE422-Artificial-Intelligence

Language: Jupyter Notebook - Size: 16.2 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 4 - Forks: 0

SaniyaAbushakimova/Predicting-Life-Satisfaction-Rate-with-Multiple-Linear-Regression

Analyzed what factors influence the level of satisfaction of people living in developing countries. The analysis contained predictor subset selection with VIF, Mallow’s Cp and BIC scores, model validation, and remedial measures. The model performance was evaluated based on hypothesis testing. Tech: R (RStudio)

Language: Jupyter Notebook - Size: 4.57 MB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 4 - Forks: 0

guyabel/tidycat

Expand broom::tidy() output for categorical parameter estimates

Language: R - Size: 6.6 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

J-Douglas/DataScienceClubWorkshops

Materials for all my UWaterloo Data Science workshops including summaries, notebooks, slides, and video. Topics include deep learning, clustering, recommender systems, and regression analysis.

Language: Jupyter Notebook - Size: 36.2 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

varun-soni-ai/LaptopPricePredictionProject

Laptop Price Prediction with Regression Analysis and Exploratory Data Analysis (EDA)

Language: Jupyter Notebook - Size: 1.95 MB - Last synced at: 21 days ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 0

hayitsian/Gene-Editing-Guide-LM

gRNA editing efficiency predictive model: expansion on GNL scorer.

Language: Jupyter Notebook - Size: 33.5 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 0

sai-123-code/JOBATHON_FEB2022

Analytics Vidhya presents “JOB-A-THON” - India's Largest Data Science Hiring Event, where 37,000+ candidates have participated for job roles in over 80+ top companies. You can be among them too! At JOB-A-THON, all Data Science enthusiasts, freshers and professionals will get the opportunity to showcase their skills and get a chance to interview with top companies for leading job roles in Data Science, Machine Learning & Analytics.

Language: Jupyter Notebook - Size: 2.23 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 0

doubleZ0108/Mathematic-Model

Basic Mathematic Model | Study Notes & Demos

Language: Jupyter Notebook - Size: 297 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0

sulaimanvesal/CardiacQuanNet

[IEEE-JBHI 2020] TensorFlow/Keras implementation: Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification

Size: 5.46 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 1

aydinnyunus/KidemMaas

Basit Regresyon: Python ile Uygulama

Language: Python - Size: 1.95 KB - Last synced at: 12 days ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 2

masdeval/Kaggle-HousePricePrediction

Language: Jupyter Notebook - Size: 4.27 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 4

isidharthrai/Regression-and-Technical-Analysis-of-Stock-Market

The Project is related to Regression and Technical Analysis of Stock Market, The link to project report:

Language: Jupyter Notebook - Size: 46.2 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 4 - Forks: 1

ryanschaub/US-Census-Demographic-Data

Mining, Cleaning, Organizing, Visualizing, and Regressing on Kaggle provided US Census Demographic Data: Demographic and Economic Data for Tracts and Counties.

Language: Jupyter Notebook - Size: 1.17 MB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 4 - Forks: 1

kindo-tk/VIT_winter_sem

This repository contains all lab work and digital assessments from the Winter Semester of my M.Sc. Data Science program at VIT Vellore. Projects span across machine learning, data mining, statistical inference, time series analysis, data visualization, and Java programming—implemented using tools like Python, R, Power BI, Tableau, Excel, and Java

Language: Jupyter Notebook - Size: 68.4 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 3 - Forks: 0