Data

Tools

Indexes

Applications

Experiments

Awesome

An open API service indexing awesome lists of open source software.

NumPy

NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.

https://github.com/hitthecodelabs/weatherforecast-lstm

TensorFlow and Python for analyzing and forecasting weather data

cnn keras lstm matplotlib numpy pandas python tensorflow weather weather-forecast

Last synced: 11 Apr 2026

https://github.com/vishal-verma-96/pre-owned-car-price-prediction-using-streamlit-app

Capstone Project by skill Academy- Exploratory Analysis, Visualization and Prediction of Used Car Prices. Deploying the highest-scoring model with Streamlit web app

data-analysis data-science jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy pandas python3 regression-algorithms scikit-learn seaborn streamlit

Last synced: 11 Apr 2026

https://github.com/aciluca/credit-approval-system

A machine learning application to predict credit card approval using Python, TensorFlow, and Docker.

data-science keras machine-learning numpy pandas python sklearn tensorflow

Last synced: 11 Apr 2026

https://github.com/f-ssemwanga/advanced-programming-york

This repository holds the extensive python programming completed during the advanced programming unit of my master's programme

comprehension csv-parser json lambda-functions list matplotlib mongodb numpy oops-in-python pandas-dataframe postgresql python3 tkinter-gui

Last synced: 11 Apr 2026

https://github.com/sohan181204/airline-ticket-price-analysis

The analysis of airline ticket prices explores the dynamic and competitive nature of the aviation industry in India. With rapid economic growth and increasing air travel demand, understanding ticket price trends is crucial for airlines, passengers, and policymakers.

numpy pandas python selenium

Last synced: 11 Apr 2026

https://github.com/dmarks84/coursework_project_text-mining-spam-analysis

Project for University of Michigan Applied Data Science Specialization -- Performed NLP in order to build features of email messages; trained various classification models to help predict if a message was spam.

classification databases eda nlp numpy pandas python scikit seaborn sentiment-analysis statistics supervised-ml text-mining unsupervised-ml visualization

Last synced: 11 Apr 2026

https://github.com/broodhoney/titanic-ml-from-disaster

This repository contains my analysis and solutions for the Titanic: Machine Learning from Disaster competition on Kaggle. The notebook explores the dataset, performs extensive Exploratory Data Analysis (EDA), applies feature engineering techniques, and builds predictive models to determine survival outcomes based on passenger data

machine-learning numpy pandas python scikit-learn scikitlearn-machine-learning

Last synced: 11 Apr 2026

https://github.com/arnauog/ironhack_data_analytics

Weekly labs to practice everything taught in class during the Data Analytics bootcamp of Ironhack in Barcelona of Sept 2024 - March 2025.

machine-learning mongodb mysql numpy pandas python seaborn tableau webscraping

Last synced: 11 Apr 2026

https://github.com/adamouization/python-machine-learning-data-science-notes

:orange_book: Jupyter notebooks containing useful Python code and notes for general Machine Learning and Data Science projects.

data data-science data-visualization guide jupyter jupyter-notebook machine-learning matplotlib notes numpy pandas pandas-dataframe python seaborn

Last synced: 11 Apr 2026

https://github.com/ansh-info/industrial-scale-penicillin-simulation

Optimizing industrial-scale penicillin production using machine learning and data analysis.

jupyter-notebook machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 11 Apr 2026

https://github.com/anshpg/vectorwave

The Jupyter Notebook (ipynb file) contained within this repository serves as the primary codebase for this project. It demonstrates how to preprocess the input data, train the logistic regression classifier, evaluate its performance, and save the trained model for future use.

collab jupyter-notebook matplotlib-pyplot numpy pandas python sklearn

Last synced: 11 Apr 2026

https://github.com/rakibhhridoy/differentprojects

Some of my learning projects that I practice to launch in data science. Not all, but some of few that was stored in my local repository. It can be useful for beginner data science enthusiast. Explore and learn!

data-science deep-learning machine-learning mathematics matplotlib numpy pandas python scikit-learn seaborn statistics

Last synced: 11 Apr 2026

https://github.com/shubhamahobia/lstm-hamlet

The LSTM Next Word Prediction project trains a model on Hamlet to predict the next word in a sequence. After preprocessing the text, an LSTM network learns patterns in the language. The trained model can then generate text by predicting the next word in a given sequence, with its accuracy evaluated to ensure it effectively models the language.

deep-learning github hamlet lstm lstm-neural-network lstm-neural-networks machine-learning neural-network nltk numpy pandas pickle python

Last synced: 11 Apr 2026

https://github.com/amiriiw/text_classification

Welcome to the Text Classification Project! This project is designed to train a model for classifying texts based on their emotional content and then using it to categorize new texts into corresponding emotional categories.

keras numpy pandas pickle scikit-learn tensorflow text-classification

Last synced: 20 Jan 2026

https://github.com/iaroslavbelavskii/statkemapp

Here's the code for my 'StatKemApp' app, that can be used to calculate statistics for the experimental laboratory data (e.g. titration). Feel free to use it and report any bugs!

chemical-engineering chemistry matplotlib-pyplot numpy pandas python scipy

Last synced: 11 Apr 2026

https://github.com/ebadshabbir/logistic_regression-binomial-

Logistic Regression on Social Network Ads Dataset This project applies Logistic Regression to predict whether a user will purchase a product based on their age and estimated salary, using the Social Network Ads dataset. The data is split into training and test sets, with feature scaling applied for normalization.

classification jupyter-notebook logistic-regression machine-learning matplotlib-pyplot numpy pandas python sklearn

Last synced: 11 Apr 2026

https://github.com/vyjayanthipolapragada/fraud_detection_creditcard

Detecting the fraudulent credit card transactions by training Decision Tree model using Scikit-learn and SnapML

classification-model data-preprocessing decision-tree-classifier kaggle-dataset machine-learning numpy pandas python scikit-learn snapml time tree-model

Last synced: 11 Apr 2026

https://github.com/imdeepmind/knn_from_scratch

KNN classifier in pure Numpy and Python

knn knn-classification machine-learning numpy python

Last synced: 11 Apr 2026

https://github.com/dharma-acha/resnet18_imageclassification_cnn

In this part of the project, we implement ResNet-18 from scratch using PyTorch and train it on an image dataset to achieve over 75% accuracy. We apply techniques to prevent overfitting and optimize performance, aiming for an accuracy of 80% or higher.

matplotlib numpy python3 pytorch scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/shwetajanwekar/hr-data-analytics

Analyze the HR data through exploratory data analysis, we identified key factors influencing employee attrition, satisfaction levels, and performance. Machine learning models enabled us to predict employee churn and classify potential candidates for promotion.

matplotlib numpy pandas seaborn

Last synced: 19 Apr 2026

https://github.com/zhanziyuan/pixelpuzzle-web

Encode/decode images using Base64 or shuffle/recover the pixels of images.

anime encryption image image-processing numpy python

Last synced: 11 Apr 2026

https://github.com/nirmaldeepponnada/codeclauseinternshipproject1

This project involves Customer Segmentation using K-Means clustering to group customers based on Recency, Frequency, and Monetary (RFM) analysis from the Online Retail dataset. It also performs Sentiment Analysis on Amazon Product Reviews using Natural Language Processing techniques & Logistic Regression to classify reviews as positive or negative.

kmeans logistic-regression numpy pandas python3 regular-expressions scikit-learn tf-idf-vectorizer

Last synced: 11 Apr 2026

https://github.com/elmezianech/email-spam-ham-classifier-nb-hard

Naive Bayes Email Classifier: An implementation of a 'hard' Naive Bayes classifier in Python to categorize emails as spam or ham. This code performs extensive data preprocessing, probability calculations, and model training for email classification using the raw Naive Bayes algorithm.

ai emails jupyter-notebook machine-learning ml naive-bayes naive-bayes-classifier numpy pandas python spam-detection spam-filtering

Last synced: 11 Apr 2026

https://github.com/pvlbzn/datascience

Learning data science 🤓

data-science numpy pandas

Last synced: 09 May 2026

https://github.com/batthulavinay/which-anime-dominates-the-world

This Kaggle notebook analyzes the global popularity of anime across different countries. Using data visualization and statistical insights, we explore which anime dominate in various regions and uncover trends in global anime consumption.

data-visualization exploratory-data-analysis matplotlib numpy pandas python seaborn

Last synced: 24 Mar 2025

https://github.com/aaaastark/textclassification-nlp-project

Dataset preparation, Feature Engineering, Model Building, Summary Statistics, Data Exploration by Visualizations, and Save File CSV

matplotlib nltk numpy pandas python seaborn sklearn textblob wordcloud

Last synced: 11 Apr 2026

https://github.com/nikhil-donthusaram/heartdiseaseprediction

Heart Disease Prediction App is a machine learning web application that predicts the likelihood of heart disease based on user medical inputs. Built using a Decision Tree Classifier and deployed with Streamlit for an interactive, user-friendly interface.

data-analysis descision-tree joblib jupyter-notebook machine-learning matplotlib numpy pandas python3 seaborn sklearn streamlit vscode

Last synced: 11 Apr 2026

https://github.com/jagroop2001/learning-numpy

Learning NumPy complete the exercise

numpy pandas python

Last synced: 16 May 2025

https://github.com/pb319/california_house-price-prediction

This is going to be my first end to end ML project implementation covering all required stages taking guidence from book called "Hands On Machine Learning".

evaluation-metrics hyperparameter-tuning jupyter-notebook kfold-cross-validation machine-learning matplotlib numpy pandas python scikit-learn seaborn train-test-split

Last synced: 11 Apr 2026

https://github.com/junaidsumsaal/advanceparkingsystem

Its a web application that integrates AI-powered parking spot predictions, real-time notifications, and role-based dashboards for Drivers, Attendants, and Providers. This system is designed to streamline parking operations, enhance user experience, and leverage machine learning for future availability predictions.

axios-react chakra-ui-react data-science met metrics ml numpy pand python3 react sklearn tailwindcss typescript

Last synced: 11 Apr 2026

https://github.com/reubenmathew/docscanner

📸 Document Scanner using an OpenCV Edge Detection Engine

flask numpy opencv python

Last synced: 11 Apr 2026

https://github.com/nauxqouh/python-for-data-science-labs

This repo contains weekly practical codes for my Python for Data Science course at university.

data-science jupyter-notebook numpy pandas python pytorch scikit-learn

Last synced: 11 Apr 2026

https://github.com/dyarleniber/hands-on-machine-learning

This repository contains code examples, exercises, and projects related to the concepts covered in the book "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition" by Aurélien Géron.

ai artificial-intelligence keras machine-learning matpolotlib numpy pandas scikit-learn tensorflow

Last synced: 11 Apr 2026

https://github.com/sudarsann27/basic_machine_learning_algorithms

Basic Machine learning algorithms using scikit-learn and other fundamental libraries

data-science data-visualization ensemble-model kaggle numpy pandas scikit-learn supervised-machine-learning

Last synced: 20 Jan 2026

https://github.com/rutujaingole/jailbreaking-deep-models

This repository contains the codebase for Jailbreaking Deep Models, which investigates the vulnerability of deep convolutional neural networks to adversarial attacks. The project systematically implements and analyzes Fast Gradient Sign Method (FGSM), Projected Gradient Descent (PGD), and localized patch-based attacks on the pretrained

adversarial-attacks deep-learning densenet121 fgsm-attack imagenet-classifier jailbreak machine-learning numpy patch-based-attack pgd-adversarial-attacks torch

Last synced: 14 May 2026

https://github.com/omarsaad21/shopping-cart-eda

An EDA python project focusing on getting the most out of a movies dataset (- 1- combine this data together - 2- check messing values - 3- show summary statistics - 4- deal with date time and extract features from dates - 5- answer at least three questions from this data)

eda jupyter-notebook numpy pandas plotly python

Last synced: 13 Apr 2026

https://github.com/adi3042/sensor-fault-detection

🔍⚙️ Ensure Reliable Operations! Detect anomalies and prevent disruptions with our Sensor Fault Detection system. Explore advanced classification and regression techniques to identify and address sensor faults effectively. Your path to robust and accurate sensor data begins here! 🚨🔧 SensorFaultTech

classification css datetime fault-detection flask functools html ipykernel jupternotebook machine-learning numpy pandas python3 readme regression scikit-learn sensor setuptools venv

Last synced: 11 Apr 2026

https://github.com/lorenzorottigni/ml-spam-filter

Machine Learning python bootcamp: natural language processing with spam filter purposes

machine-learning npl numpy pandas python scikit-learn seaborn spam-filtering

Last synced: 11 Apr 2026

https://github.com/alphan26/breastcancerclassification

This project involves a binary classification problem where we applied PyTorch to detect breast cancer.

matplotlib numpy pandas python pytorch

Last synced: 11 Apr 2026

https://github.com/muhammad-rebaal/eda-with-python-and-pandas

Explore, Analyze, and Visualize Data with Python and Pandas: Dive into the world of data analysis and visualization using Python and Pandas with this repository. Discover valuable insights, clean and preprocess your data, and create stunning visualizations to make data-driven decisions.

calmap matplotlib numpy pandas python python3 seaborn

Last synced: 07 May 2026

https://github.com/nickklos10/league-of-legends-match-predictor

Predicting League of Legends Match Outcomes Using Logistic Regression and PyTorch.

jupyter-notebook matplotlib numpy pandas pytorch scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/yahiazakaria445/sentiment-analysis-using-lstm

A Sentiment analysis NLP project using LSTM model

matplotlib nltk numpy pandas scikit-learn seaborn tensorflow

Last synced: 11 Apr 2026

https://github.com/alaazameldev/text-based-search-engine

Implementation of a search engine using TF-IDF and Word Embedding-based vectorization techniques for efficient document retrieval

chromadb fastapi gensim-word2vec nltk numpy precision-recall python scikit-learn tf-idf-vectorizer

Last synced: 20 Jan 2026

https://github.com/collins-kimotho/wrangle-and-analyze-project

Data Wrangling and Analysis Project: Analyzing WeRateDogs Twitter Account Data

explanatory-data-analysis exploratory-data-analysis matplotlib numpy pandas python twitter twitter-api

Last synced: 11 May 2026

https://github.com/vishal-verma-96/Honey_Production_Analysis_using_Python

In this project, I analyzed U.S. honey production from 1998 to 2021 across different U.S. cities, explored yields, and examined production values using Matplotlib and Seaborn visualizations.

matplotlib numpy pandas python-3 python-visualization seaborn

Last synced: 19 Apr 2025

https://github.com/hansalemaos/fortran2cc2fortran

Fortran to C / C to Fortran (nested) index converter

c converter fortran index numpy

Last synced: 11 Apr 2026

https://github.com/hafaio/hilbert-bytes

A python library for converting between d-dimensional points and indices on a hilbert curve

hilbert-curve numba numpy python

Last synced: 12 Feb 2026

https://github.com/bilalm04/autonomous-lane-detection

An autonomous lane detection system leveraging OpenCV to process images and videos, accurately identifying lanes and providing key visualizations.

artificial-intelligence computer-vision lane-detection machine-learning matplotlib numpy opencv python

Last synced: 20 Jan 2026

https://github.com/pymivn/vinastats

Khám phá các sự thật ở Việt Nam với thống kê và số liệu từ tổng cục thống kê Việt Nam

numpy pandas statistics vietnam

Last synced: 02 Apr 2026

https://github.com/rnuv/artificial-neural-network

A Simple 2 layered Artificial Neural Network library made from scratch in Python and NumPy. Fitted with a feed forward method and backpropagation.

neural-network numpy python tensorflow

Last synced: 18 Mar 2025

https://github.com/pthmhatre/smart-attendance-system-using-face-recognition

This project aims to create a smart attendance system using face recognition technology. The system captures and recognizes faces in real-time and marks attendance automatically, providing a seamless and efficient way to manage attendance records.

adafruit computervision css face-recognition iot iot-application javascript mysql numpy opencv php pickle python raspeberry-pi rfid

Last synced: 12 Apr 2026

https://github.com/mohith-2002/plotchart

PlotChart is a web application created by the Python library Streamlit.

matplotlib numpy pandas python streamlit

Last synced: 12 Apr 2026

https://github.com/iadtya/hate-text-classification

Training RNN(LSTM) on Hate speech with tensorflow and keras

fastapi keras lstm nltk numpy pandas tenserflow

Last synced: 12 Apr 2026

https://github.com/sadegh15khedry/creditcard-transaction-anomaly-detection-using-isolationforest

detecting fraudulent transactions in credit card data using anomaly detection techniques.

anomaly-detection matplotlib numpy pandas python seaborn sklearn

Last synced: 27 Feb 2025

https://github.com/offthetab/matcha_code_generation

Fine-tunning MatCha model for better python matplot lib code generation by given chart.

fine-tuning huggingface matcha matplotlib numpy pandas pil sklearn torch

Last synced: 20 Jan 2026

https://github.com/jvictor011/analise_de_dados_pokemon

Este projeto se concentra na análise dos dados da Pokedex, que incluem informações sobre vários Pokémon. O código em Python realiza várias etapas de análise exploratória de dados (AED) e gera visualizações para entender melhor as características dos Pokémon.

matplotlib numpy pandas python scipy

Last synced: 07 May 2025

https://github.com/alwaysvivek/next-word-prediction

🔮 Predicts the next word in a text sequence using either an N-gram statistical model or an LSTM-based neural network.

argparse laplace-smoothing machine-learning neural-network ngrams nlp nltk numpy python3 tensorflow

Last synced: 12 Apr 2026

https://github.com/kr1shnasomani/DeepDetect

Traffic light, vehicle and human detection from aerial images using YOLOv8 model and Computer Vision

computer-vision deep-learning neural-network numpy opencv yolov8

Last synced: 03 Sep 2025

https://github.com/nisch-mhrzn/book-recommender-system

A Flask-based application that suggests books tailored to user preferences, leveraging collaborative filtering and a curated dataset.

flask numpy pandas python

Last synced: 12 Apr 2026

https://github.com/shibam120302/indian_sign_language_translator

This repository consists of the code utilized for creation of an Indian Sign Language Translator satisfying the following criteria : Near-Real-Time Application Achieve background independence Attain Illumination independence

imageai keras numpy opencv pillow tensorflow

Last synced: 12 Apr 2026

https://github.com/mzayles/report_consolidado_analise-descritiva

💻📊✅ Curso de Programação em Python para Data Science | Mensuramento de dados com Matplotlib.

matplotlib numpy pandas python

Last synced: 24 Mar 2025

https://github.com/jvictor011/big-five-personality-test

Usando machine learning para fazer o agrupamento de um sistema de traço de personalidade

matplotlib numpy os pandas python seaborn

Last synced: 07 May 2025

https://github.com/shandilya1998/neurorobotics

Python tools for robotics, deep reinforcement learning and neuroscience research.

computational-neuroscience mujoco mujoco-py numpy openai-gym pytorch reinforcement-learning robotics

Last synced: 12 Apr 2026

https://github.com/hansalemaos/cycolorcrop

Crops an image based on allowed colors

color crop cython image numpy opencv

Last synced: 01 May 2026

https://github.com/alphan26/humidityregressor

This project involves developing a model to predict relative humidity using PyTorch. The model was trained on a dataset containing monthly data, with the goal of forecasting the relative humidity for the subsequent month.

matplotlib numpy pandas python pytorch

Last synced: 11 Apr 2026

https://github.com/darkusphantom/newton-method

7 ejercicios practicos del método de Newton en la programación computacional

computational-maths numpy python

Last synced: 25 Mar 2025

https://github.com/chmohit91/Introduction-to-Python

A comprehensive collection of Python programming resources, from basics to advanced concepts. Built for learners, by learners

matplotlib numpy pandas plotly python python-library python3 seaborn

Last synced: 21 Jul 2025

https://github.com/urvee1810/market_basket_analysis

A data mining project analyzing Instacart's 3 million grocery orders to uncover customer shopping patterns and product associations. Using market basket analysis and the Apriori algorithm, the project reveals key insights about shopping behavior, product combinations, and temporal patterns, providing valuable recommendations for retail strategy

apriori-algorithm data-mining data-visualization machine-learning market-basket-analysis matplotlib mlxtend numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/tnleite/credit-card-customer-clustering

Este repositório apresenta um projeto de segmentação e predição de clientes de cartões de crédito. Utilizando EDA, clusterização (K-Means) e machine learning, o objetivo é prever o grupo de novos clientes, apoiando estratégias de marketing personalizadas.

classification-algorithm clustering-algorithm clustering-analysis data-science exploratory-data-analysis kmeans-clustering logistic-regression machine-learning-algorithms machine-learning-models matplotlib numpy scikit-learn seaborn

Last synced: 07 May 2026

https://github.com/sumitkundu102022/ecobuddy

EcoBuddy: Personalized Carbon Footprint Tracker

bcrypt numpy pandas plotly pymongo python-dotenv requests streamlit

Last synced: 12 Apr 2026

https://github.com/mahmoudnamnam/superstore-analysis

This project explores the SuperStore dataset to uncover insights into sales, profit, and customer behavior. It identifies key trends, regional variations, and product performance, using data analysis and machine learning techniques to guide business strategy and optimize performance.

clustering data-analysis data-science data-visualization geopandas jupyter-notebook machine-learning numpy pandas plotly regression seaborn sklearn

Last synced: 12 Apr 2026

NumPy Awesome Lists
awesome-jax 218 awesome-data-analysis 936 awesome-ebooks 106 awesome-jax 149 awesome-mojo-max-mlir 181 awesome-numpy 32 practice-data-science-programming-projects 90
NumPy Categories
Blogs 404 Libraries 239 ⚡ Productivity 101 🧠 AI Applications & Platforms 96 🐍 Python 91 Exercises 87 Models and Projects 74 📚 Skill Development & Career 67 🗃️ SQL & Databases 53 Tutorials and Blog Posts 53 🤖 Machine Learning & AI 52 📦 Additional Python Libraries 51 📝 More Awesome Lists 50 ☁️ Cloud Platforms & Infrastructure 46 📋 Cheatsheets 44 📊 Data Visualization 38 📈 Dashboards & BI 35 Videos 34 🎲 Statistics & Probability 34 Web 33