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GitHub topics: kaggle-dataset

shakeel-data/educational-and-career-outcomes-python

Analyzes data from 5,000 students to uncover how academics, extracurriculars, and skills affect career outcomes like salary and job offers. Using Python (NumPy, Pandas, Seaborn ), it includes data cleaning, EDA, and visualizations to reveal meaningful career trends.

Language: Jupyter Notebook - Size: 1.06 MB - Last synced at: about 1 hour ago - Pushed at: about 3 hours ago - Stars: 0 - Forks: 0

adil-faiyaz98/titanic-competition

Predicting survival outcomes from the Titanic disaster using machine learning techniques. Includes exploratory data analysis (EDA), feature engineering, data preprocessing, modeling (classification), and Kaggle submission pipeline.

Language: Python - Size: 37.1 KB - Last synced at: about 8 hours ago - Pushed at: about 9 hours ago - Stars: 0 - Forks: 0

davidwarrior22/machine-translation-for-african-languages

This repository focuses on developing machine translation and NLP tools specifically for African languages. Join us in addressing the challenges and opportunities in this vital area of language technology! 🛠️🌍

Language: TeX - Size: 177 KB - Last synced at: about 12 hours ago - Pushed at: about 13 hours ago - Stars: 0 - Forks: 0

gotoConversion/goto_conversion

goto_conversion - Powered over 10 Gold Medals and 100 Medals on Kaggle

Language: Python - Size: 7.27 MB - Last synced at: about 12 hours ago - Pushed at: about 13 hours ago - Stars: 89 - Forks: 11

skibididanieldds1/Complete-Health-Diagnostic-Hub

🩺 Complete Health Diagnostic Hub – A 🌐 web-based platform using 🤖 machine learning to predict potential health risks for ❤️ heart, 🩸 kidney, 🏥 liver, and 🩹 diabetes conditions.

Language: HTML - Size: 5.39 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

PeeteKeesel/kaggle-verse

✨My kaggle notebooks

Language: Jupyter Notebook - Size: 74.2 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 3 - Forks: 0

shakeel-data/walmart-analysis-sql-python

This project leverages SQL and Python to analyze Walmart sales data, uncovering trends, inefficiencies, and regional performance gaps. The goal is to deliver actionable insights that support data-driven strategies for boosting sales and business growth.

Language: Jupyter Notebook - Size: 901 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

ajaymin28/HumanActionRecognition

CLIP based human action recognition, alignment of text and image using Prompt engineering.

Language: Python - Size: 2.48 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

RockENZO/Road_Semantic_Segmentation_CV

This repository contains code and results for a semantic segmentation competition using a small autonomous driving dataset. The project explores various data augmentation, network architectures, and training strategies to improve segmentation accuracy and efficiency.

Language: Jupyter Notebook - Size: 158 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - Forks: 0

shakeel-data/revenue-trends-analysis-dashboard

Built an Interactive Revenue Trends Dashboard using Tableau & SQL Server. Applied data cleaning, EDA & advanced SQL on Kaggle sales data to highlight KPIs, YoY performance, category trends & regional insights. Showcases full data analysis workflow.

Size: 2.24 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

Ayus1103/Feature-Engineering-Handling-Missing-Data

Feature engineering on the Titanic dataset using Python. Demonstrates handling missing values by imputing age (mean/median) and embarked (mode), and creates new features to improve data quality for machine learning. Includes code and examples for data preprocessing.

Language: Jupyter Notebook - Size: 236 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

CosmoOnYT/CustomerDataClustering_KaggleDataset

Repository that contains the full process of a Clustering models creation based on a Kaggle Dataset. Different models of KMeans, DBScan and AHC were created during the process.

Size: 1000 Bytes - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

QAQMMW/Music-Recommendation-Based-on-Facial-Expression

Recommending music based on your facial expressions using FER 2013 dataset and Sporify app

Size: 1.95 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

kakaum2k/Music-Recommendation-Based-on-Facial-Expression

Recommending music based on your facial expressions using FER 2013 dataset and Sporify app

Size: 1.95 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

NishantkSingh0/Twitter-Sentiment-Analysis

A ML/DL based Twitter sentiment analysis model based on Transformer based pretrained Encoding on sentence

Language: Jupyter Notebook - Size: 270 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

aranyaadheu/IMDB-Movie-Analysis

an insightful pandas data analysis & visualization project on IMDB movie dataset

Language: Jupyter Notebook - Size: 1.87 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

ghfjd/youtube-veri-analizi-sunum

Veri analizi hakkında hazırladığım sunum

Size: 1000 Bytes - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

avnigupta14/MOACO-sentiment-analysis

Implementation of MOACO‑based sentiment analysis with LSTM on 1.6M tweets (Sentiment140 dataset).

Language: Jupyter Notebook - Size: 1.61 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

Sharzzz001/Machine-Learning-Applications-and-Kaggle-Competitions

Involves all my kaggle competitions + Some ML applications

Language: Jupyter Notebook - Size: 310 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

sillyash/untappd-viz

A data visualisation page using public datasets and HTML/CSS/JS with D3.js.

Language: JavaScript - Size: 352 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

azgra/Brazilian-E-commerce-KPI-Dashboard-

Lightweight e-commerce KPI dashboard that converts the open‑source Brazilian Olist dataset into a one‑page dashboard. MySQL 8 SQL handles ETL, feature derivation, and window‑function KPIs; Tableau delivers drill‑downs across revenue, orders, returns, categories, and states. Reproducible with two shell commands and 20 MB of CSVs.

Size: 4.71 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

shakeel-data/customer-segmentation-clustering

This un-supervised machine learning project applies unsupervised clustering to customer records from a grocery firm's database to segment customers based on their behavior. It includes data preprocessing, exploratory data analysis, and K-Means clustering to uncover meaningful insights.

Language: Jupyter Notebook - Size: 3.9 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

m4rz910/NYISOToolkit

Access data, statistics, and visualizations for New York's electricity grid.

Language: Jupyter Notebook - Size: 52.4 MB - Last synced at: 5 days ago - Pushed at: 18 days ago - Stars: 58 - Forks: 3

Shoronbasak/SuperStore-Power-Bi-Dashboard

A dashboard to analyze profit and sales of a superstore using Power Bi

Size: 0 Bytes - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

sabin74/ARIMA_time_series_forecasting

This project demonstrates time series forecasting using AR, ARIMA, and SARIMA models to predict monthly airline passenger counts from 1949 to 1960. The project follows a complete pipeline including data preprocessing, stationarity checks, model fitting, diagnostics, and future forecasting using Python's statsmodels library.

Language: Jupyter Notebook - Size: 3.59 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

shakeel-data/breast-cancer-prediction-neural-network-pytorch

This deep learning project for breast cancer detection using PyTorch. It performs exploratory data analysis to understand patterns and distributions, followed by preprocessing and feature scaling. A neural network is then trained (with GPU support) to predict diagnoses from clinical data.

Language: Python - Size: 127 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

jarif87/neuro-voice-predictor

A FastAPI app for Parkinson’s disease prediction using a pre-trained model. Offers a sleek, animated UI for inputting five voice metrics (spread1, PPE, spread2, MDVP:Fo(Hz), MDVP:Flo(Hz)). Git-ready with venv excluded and GitHub screenshots.

Language: CSS - Size: 741 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

RushiChinagounolla/layoffs-data-cleaning-sql

SQL-based project focused on cleaning and analyzing real-world layoffs data.

Size: 0 Bytes - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

sabin74/credit_card_fraud_detection

Detect fraudulent credit card transactions using both supervised and unsupervised machine learning techniques.

Size: 0 Bytes - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

Szymon-Czuszek/Machine-Learning-Algorithms

In this repository, I will share the materials related to machine learning algorithms, as I enrich my knowledge in this field.

Language: Jupyter Notebook - Size: 2.61 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

Thogaruchesti-hemanth/guessing_numbers

An AI-powered number guessing game built with Python and Keras. The model is trained on a Kaggle dataset using a neural network with categorical_crossentropy loss and the Adam optimizer to classify and predict the correct number. A fun and educational project showcasing basic deep learning for multi-class classification.

Language: Jupyter Notebook - Size: 5.86 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 1 - Forks: 0

fazeelibtesam/BagPackPrediction

My kaggle competition playground series model

Size: 6.12 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

nvhnam/TrafficShop

Online Grocery Platform with food data from OpenFoodFacts dataset using ReactJS, ExpressJS, MySQL, LangChainJS

Language: JavaScript - Size: 5.52 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 1

Amirreza81/Applied-Data-Science-Course

Comprehensive notes, practical exercises, and problem-solving solutions from the Applied Data Science course, covering data preprocessing, machine learning algorithms, statistical analysis, data visualization, and real-world applications.

Language: Jupyter Notebook - Size: 5.58 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 4 - Forks: 0

shakeel-data/sales-insights-dashboard

This Sales Analysis Dashboard offers insights into regional sales, category performance, and order trends through interactive visualizations. Developed using Microsoft Excel, it supports data-driven decision-making. Future enhancements may involve Power BI integration and predictive analytics for deeper insights.

Size: 2.67 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

sabin74/boston_house_prediction

This project aims to predict the median value of owner-occupied homes in Boston suburbs using various machine learning regression models. Multiple regression techniques were applied, including Linear Regression, Decision Tree, Random Forest, Gradient Boosting and dimensionality reduction with PCA. Hyperparameter tuning was performed.

Language: Jupyter Notebook - Size: 689 KB - Last synced at: 6 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

armanjscript/Yolo11_PestDataset_FineTuning

This repository contains a Jupyter notebook that demonstrates how to fine-tune the YOLOv11 object detection model on the Agricultural Pests Dataset using Google Colab.

Language: Jupyter Notebook - Size: 196 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

sabin74/retail_sales_forecast

This project focuses on predicting retail sales using historical sales data and time-series regression techniques. It leverages Python, Scikit-learn, and XGBoost to build predictive models capable of forecasting sales trends. The goal is to provide actionable insights to retailers for inventory and sales strategy planning.

Language: Jupyter Notebook - Size: 1.82 MB - Last synced at: 6 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

giseletoledo/case-study-wellness-smart

Project from the coursera course Google Data Analytics

Size: 493 KB - Last synced at: 5 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

sabin74/fake_news_detection

This project implements a Fake News Detection system using Python, Natural Language Processing (NLP), and machine learning. It classifies news articles as Real or Fake based on their textual content.

Language: Jupyter Notebook - Size: 42.3 MB - Last synced at: 6 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

souvikrana17/Indoor-Plant-Health-Growth-Dataset

Predict plant health and identify care-based clusters using a dataset of indoor plants

Language: Jupyter Notebook - Size: 2.44 MB - Last synced at: 12 days ago - Pushed at: 20 days ago - Stars: 3 - Forks: 0

rajdeeeps/AI-Pneumonia-Daignosis-Assistant

This project is an AI-powered medical diagnosis assistant that identifies pneumonia from chest X-ray images using deep learning. Built with PyTorch and trained on a Kaggle dataset, the model leverages the ResNet18 architecture to accurately classify whether a patient has pneumonia or not.

Language: Python - Size: 6.84 KB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

sabin74/heart_disease_prediction

A machine learning project to predict the presence of heart disease using the Kaggle Heart Disease Dataset. The project uses data preprocessing, exploratory data analysis (EDA), feature engineering, and a Random Forest Classifier to achieve high prediction accuracy.

Language: Jupyter Notebook - Size: 1.16 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

EchoSingh/ml-deeplearning-projects

A curated collection of machine learning projects focused on foundational and advanced deep learning models, including Convolutional Neural Networks (CNN), Generative Adversarial Networks (GAN), and GoogLeNet. Perfect for students and enthusiasts exploring the core principles of ML and DL.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

farout101/diabetes-prediction-model

Machine Learning model

Language: Jupyter Notebook - Size: 54.7 KB - Last synced at: 7 days ago - Pushed at: 11 months ago - Stars: 3 - Forks: 0

sabin74/customer_churn_prediction

Predict whether a customer will churn (leave the service) based on their usage and demographic data using machine learning.

Language: Jupyter Notebook - Size: 461 KB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

taljindergill78/book-recommender-system

A personalized book recommender system that suggests books to users based on their reading preferences and past ratings, using collaborative filtering techniques on the Book Crossing dataset.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

sabin74/IPL_performance_analysis

This project performs Exploratory Data Analysis (EDA) on the Indian Premier League (IPL) cricket dataset to uncover insights about players, teams, and match trends.

Language: Jupyter Notebook - Size: 2.66 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

Analyse-Bud/Walmart-Sales-Forecast

Portfolio to showcase visualization, forecasting knowledge and methodology. Can we predict how many units of each product will sell next week to optimize inventory and reduce overstock or stockouts?

Size: 2.61 MB - Last synced at: 24 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

andreighinea1/BDV-Project

Exploratory analysis of the Global Terrorism Database (GTD) using Python and Jupyter. This project visualizes global terrorist activity trends from 1970 to 2017, highlighting patterns across time, regions, and groups using ML techniques.

Language: Jupyter Notebook - Size: 5.06 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

n7vpham/Hit-or-Miss-ML

Predicting video game success with ML models trained on Kaggle data. Logistic regression and neural network comparison.

Language: Jupyter Notebook - Size: 740 KB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

farhad-here/Student_Performance_Analyzer

Student Performance Analyzer with python, it is on of my data analysis course project. I teach you about filter(),lambda,map() in python

Language: Python - Size: 13.7 KB - Last synced at: about 18 hours ago - Pushed at: 30 days ago - Stars: 0 - Forks: 0

bkusuma/kaggle-competition-template

A template to simplify getting started with each Kaggle Competition you choose to enter

Size: 45.9 KB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 0 - Forks: 0

sunidhijain13/Breast-Cancer-Detection-using-Deep-Learning

Final Year B.E. project on breast cancer detection using deep learning and histopathology images. Published in JETIR.

Language: Jupyter Notebook - Size: 21.1 MB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 0 - Forks: 0

anum94/text-classification-word2vec

This a project I did with a university colleague for our seminar "Applied Deep Learning for Natural Language Processing" at TUM.

Language: Python - Size: 4.81 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

JiteshShelke/Complete-Health-Diagnostic-Hub

🩺 Complete Health Diagnostic Hub – A 🌐 web-based platform using 🤖 machine learning to predict potential health risks for ❤️ heart, 🩸 kidney, 🏥 liver, and 🩹 diabetes conditions.

Language: HTML - Size: 6.18 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Tynoee/movies-data-anlysis

This project explores a dataset of movies sourced from IMDb (via Kaggle) to uncover trends and insights about movie production, popularity, ratings, and more.

Language: Jupyter Notebook - Size: 1.12 MB - Last synced at: 21 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

7-4-7/SoilViTv1_annam

This is the repository for kaggle competion conducted by Annam Hackathnon. Contains set of 2 challenges.

Language: Jupyter Notebook - Size: 17 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

juxnluu/student-depression

This repository contains a comprehensive analysis of how dietary habits, financial stress, and study hours impact depression levels in students. Explore the methods and findings through R scripts and visualizations to gain insights into student well-being. 🐙📈

Language: R - Size: 428 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

MMansy19/cdss-xray-app

AI-powered Clinical Decision Support System (CDSS) for chest X-ray analysis, detecting pneumonia (89.9% accuracy) using CNN on Kaggle's Chest X-ray Dataset. Full-stack app with Next.js, Django, TensorFlow. Features drag-and-drop uploads, vitals input, and diagnostic reports.

Language: TypeScript - Size: 22.3 MB - Last synced at: 11 days ago - Pushed at: about 1 month ago - Stars: 7 - Forks: 1

WideSu/Data-science-and-mechine-learning-projects

Some R, Python files to analyze data on Kaggle

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

heyitsj-git/AgriSol-WebApp

The Agricultural Webapp aims to solve farmers problem and to be "A Farmer's Bestfriend".

Language: Jupyter Notebook - Size: 6.16 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

Faisal-khann/OlympicAnalysis-WebApp

This project explores 120 years of Olympic history — from Athens 1896 to Rio 2016 — to uncover trends in athlete performance, national dominance, gender participation, and the impact of hosting the Games. Using exploratory data analysis (EDA) and interactive visualizations, this analysis provides key insights for sports analysts and federations.

Language: Python - Size: 5.22 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

RaviSoni804426/Kaggle-Work-Profile

This repository contains all my Kaggle projects, notebooks, and datasets that I have worked on while exploring various data science, machine learning, and deep learning problems. It serves as a comprehensive collection of my analytical work, insights, and code implementations for different competitions, datasets, and research projects on Kaggle.

Language: Jupyter Notebook - Size: 561 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

El-djaBlo/MangoDefectDetection-

Machine learning-based classification and analysis of mango fruit defects using models like KNN, SVM, and Logistic Regression, evaluated with AUC-ROC, precision-recall, and confusion matrix.

Language: Jupyter Notebook - Size: 1.07 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

nandan-byte/EDUNET-WEEK1

🌾 Crop & Fertilizer Recommendation using ML - This project uses machine learning to suggest the best crop and fertilizer based on soil and weather data like pH, temperature, and rainfall. Built using Python and Google Colab.

Language: Jupyter Notebook - Size: 628 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

xinyooo/deepfake-detection

DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.

Language: Jupyter Notebook - Size: 131 KB - Last synced at: about 1 month ago - Pushed at: almost 5 years ago - Stars: 108 - Forks: 35

darshandesai1095/plant-pathology-ml

Kaggle competition to identify diseased plants using ML

Language: Jupyter Notebook - Size: 107 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0

mayankmittal29/PrediFly-YOLO-Kalman-GRU-Pipeline-for-Drone-Detection-Prediction

PrediFly: Cutting-edge drone trajectory prediction merging YOLOv8 detection, Kalman filtering, and GRU-CNN neural nets for high-precision aerial tracking across complex flight patterns—computer vision meets deep learning.

Language: Jupyter Notebook - Size: 67 MB - Last synced at: 7 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Oluwakoya-ao/google-playstore-data-cleaning

A data cleaning project focused on preparing the Google Play Store app dataset by handling missing values, fixing data types, and formatting issues for accurate analysis.

Language: Jupyter Notebook - Size: 9.34 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ComputerVision804/Lung-Cancer-Prediction

This repository hosts a machine learning project designed to predict the likelihood of lung cancer in patients based on clinical and demographic data. The goal is to aid early diagnosis by analyzing risk factors such as age, smoking history, genetic markers, and lifestyle habits. Built with Python and scikit-learn,.

Language: Python - Size: 560 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

Haonan-100/Brazilian-E-commerce-KPI-Dashboard-

Lightweight e-commerce KPI dashboard that converts the open‑source Brazilian Olist dataset into a one‑page dashboard. MySQL 8 SQL handles ETL, feature derivation, and window‑function KPIs; Tableau delivers drill‑downs across revenue, orders, returns, categories, and states. Reproducible with two shell commands and 20 MB of CSVs.

Size: 0 Bytes - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

cabustillo13/Charla-procesamiento-de-imagenes

Procesamiento de imágenes de distintas clases de uvas a partir de visión por computadora.

Language: Python - Size: 18.5 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 7 - Forks: 0

Mingggggggggggggg/SIIM-ISIC-Melanoma-Classification-Student-Project

SIIM-ISIC Melanoma Classification

Language: Jupyter Notebook - Size: 36 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

phuongvu0206/Loan-Acceptance-Prediction

Predicts loan approval using machine learning. Includes data cleaning, feature engineering, model training, and a web app for deployment.

Language: Jupyter Notebook - Size: 20.5 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

Sudhanshu-Ambastha/Multiple-Disease-Prediction-Bot

This a multiple disease prediction based on user input which can predict upto 40 disease and trained on 131 parameters

Language: Jupyter Notebook - Size: 1.06 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 5 - Forks: 0

shreedata/Data-analysis-using-python-libraries-

The COVID-19 pandemic has significantly impacted India, necessitating a detailed analysis of the virus’s spread within the country. In this project, we explore an India-specific COVID-19 dataset, leveraging Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.

Language: Jupyter Notebook - Size: 1.03 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

ARASwithH/Covid_Data_Analysis

This project implements a custom Decision Tree classifier in Python to analyze a COVID-19 dataset.

Language: Python - Size: 4.04 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

sanggusti/final_bangkit

Fresh and Rotten Fruit Classifier

Language: Jupyter Notebook - Size: 87.5 MB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 8

RicardoRobledo/WeldingDefectDetection

Welding Defect Detection

Language: HTML - Size: 6 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

Prakhar-FF13/Toxic-Comments-Classification

Predict the toxicity rating of comment made by the user.

Language: HTML - Size: 1.03 MB - Last synced at: about 2 months ago - Pushed at: about 6 years ago - Stars: 43 - Forks: 33

regisbarbosa/sales

Dashboard de Vendas Power BI

Language: Jupyter Notebook - Size: 7.63 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

busradeveci/spotify-popularity-danceability

Analyzing the relationship between song popularity and danceability using Spotify's music dataset, with visualizations and insights into features like energy, tempo, and more.

Language: Jupyter Notebook - Size: 3.74 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

ruan-narici/brazilian-ecommerce-analytics

Analytics Brazilian E-Commerce Public Dataset by Olist

Language: Jupyter Notebook - Size: 8.79 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

VictoriousWealth/Avocado-Analytics

An interactive web application built with Dash to visualize avocado sales data in the U.S. (2015-2018). Features dynamic filtering by region, type, and date, with real-time graphs for average price and volume. Includes custom styling for an intuitive and user-friendly experience.

Language: Python - Size: 60.3 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

busradeveci/Odev2-Branching

This project is prepared for Artificial Intelligence and Technology Academy Git GitHub Assignment 2. Using the “Wine Reviews” dataset from Kaggle, it converts wine ratings into star ratings and analyzes them.

Language: Python - Size: 29.3 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Ramtin-Karbaschi/HousingPriceAdvance_KERASmodel

Advanced machine learning implementation for housing price prediction, utilizing statistical modeling to analyze property attributes and their market impacts. Features comprehensive data visualization, feature engineering, and model comparison techniques.

Language: Jupyter Notebook - Size: 494 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

3N-VOY/diabetes_ai

Predicting Diabetes in Patients

Language: Jupyter Notebook - Size: 874 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

behkamfallah/Neural-Networks

This repository contains my journey to learn Neural Networks! I will mainly learn by Neural Networks and Deep Learning: A Textbook by Charu C. Aggarwal and also courses from Codecademy.

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Hamed-Ahmadinia/Applied-Data-Science-MiniProjects

A portfolio of data analytics projects demonstrating skills in data wrangling, visualization, predictive modeling, and time-series analysis. Each project explores real-world datasets from various domains, including demographics, sales, medical data, and environmental trends. Datasets available on Kaggle.

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Sudhanshu-Ambastha/Heart-Disease-Prediction-Bot

this repository is part of multiple disease prediction system repository

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cherylisabella/Whiskey

A Flask-powered Scotch whiskey recommendation system using k-NN algorithms to provide personalized suggestions based on customer preferences, purchase history, and reviews. Features role-based access for managers and employees, CSV data management, and loyalty discount tiers to optimize customer engagement.

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princenzmw/Loan_Default_Prediction

Predicting Loan Default (Banking) is a Model to predict whether a customer will default on their loan based on their financial history and loan type.

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WindJammer6/28.-TaniBoss

My group's submission for the SUTD Freshmore Asian Cross-curricular Trip (FACT) to Petra Christian University (PCU) in Surabaya, Indonesia as part of the 10.020 Data Driven World module's hackathon. Achieved 1st Place (out of 10 teams).

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mauroslucios/kaggle-brazilian-ecommerce-versions-2

brazilian-ecommerce

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sinhasomya100/TASK-1

Data Cleaning and Preprocessing

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sinhasomya100/Task-3

SQL for Data Analysis Use SQL queries to extract and analyze data from a database

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sinhasomya100/TASK-4

Design an interactive dashboard for business stakeholders.

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sinhasomya100/Task-2

Data Visualization and Storytelling

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BarraHarrison/Spotify-Listening-Trends

Using EDA to look at song longevity, regional preferences, and streaming behavior in the charts and on Spotify.

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Related Keywords
kaggle-dataset 1,290 machine-learning 388 python 377 kaggle 315 data-science 210 pandas 159 kaggle-competition 152 python3 148 deep-learning 147 jupyter-notebook 146 data-analysis 138 data-visualization 137 numpy 89 tensorflow 87 seaborn 79 matplotlib 73 exploratory-data-analysis 70 dataset 59 classification 58 eda 54 keras 52 machine-learning-algorithms 51 random-forest 50 pytorch 47 scikit-learn 45 computer-vision 45 logistic-regression 44 nlp 43 sklearn 40 cnn 38 flask 38 image-classification 36 kaggle-titanic 36 transfer-learning 33 data 31 r 31 convolutional-neural-networks 30 neural-network 30 sql 30 natural-language-processing 29 linear-regression 28 matplotlib-pyplot 28 regression 27 visualization 26 keras-tensorflow 23 neural-networks 22 opencv 22 streamlit 22 deep-neural-networks 21 supervised-learning 21 data-cleaning 21 data-analytics 21 excel 21 ai 21 artificial-intelligence 20 cnn-classification 20 tensorflow2 20 regression-models 20 plotly 19 xgboost 19 flask-application 19 kaggle-solution 19 sentiment-analysis 19 powerbi 18 datascience 18 datasets 18 nlp-machine-learning 17 machinelearning 17 data-mining 17 analysis 16 random-forest-classifier 16 ml 16 google-colab 16 colab-notebook 16 tableau 15 javascript 15 pandas-dataframe 15 recommender-system 15 decision-tree-classifier 15 svm-classifier 15 streamlit-webapp 15 cnn-keras 15 lstm 14 covid-19 14 knn-classification 14 feature-engineering 14 python-3 14 binary-classification 14 vgg16 13 pandas-python 13 prediction 12 classification-model 12 csv 12 datavisualization 12 data-analysis-python 12 scikitlearn-machine-learning 12 titanic-kaggle 11 dashboard 11 mysql 11 classification-algorithm 11