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.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-06-26 00:18:09 UTC
- JSON Representation
https://github.com/djdhairya/car-accident-detection
csv cv2 geocoder geolocation keras math matplotlib numpy opencv pandas scikit-learn system tiwilo transformer
Last synced: 12 Apr 2026
https://github.com/saopicc/ddfacet-kernels
Modular implementation of the DDFacet Gridding Kernels
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https://github.com/shhiivvaam/traffic_prediction
This project explores the application of advanced neural network architectures, including Multi-Layer Perceptron (MLP), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU), to forecast traffic volume. 👍👍✅
conv1d conv2d keras lstm matplotlib numpy pandas seaborn sklearn statsmodels tensorflow
Last synced: 12 Apr 2026
https://github.com/sanjanahombal/sentiment-analysis-using-neural-networks
This project explores sentiment analysis using neural networks
convolutional-neural-networks countvectorizer deep-learning keras matplotlib neural-network numpy python tensorflow tfidf-vectorizer
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https://github.com/prakshal0809/machine_learning_algorithms
This project showcases basic machine learning programs I developed during my studies, written in Python, intended for educational use or as a foundation for more advanced projects.
machine-learning matplotlib numpy pandas python
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/gurpreet0022/unveiling-pcos
Data Driven approach to get insights about PCOS
analysis eda insights matplotlib numpy pandas python3 scipy-stats seaborn visualisation
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https://github.com/id-andyyy/alfahack
📈💰 Investment propensity prediction model
catboost hackathon-project jupyter lightgbm numpy optuna pandas python scikit-learn
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https://github.com/tebogoyungmercykay/mathematical_modelling_in_python
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.
clock counter differential-equations equations-and-plotting growth-factor is-sorted lamda-expressions linearization logistic-difference-equations mathplotlib numpy pell-recursive polyfit python recursion rieman-sums sympy
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https://github.com/shahsuvarli/election-voters-data-analysis-pandas
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cleaning data grouping matplotlib numpy pandas python visualization
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https://github.com/khushi130404/echobot
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keras nlp nltk numpy pickle tensorflow
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https://github.com/mariam-zaidi/credit_risk_analytics
Performing Exploratory Data analysis for loan application approvals and understanding Risk analytics
exploratory-data-analysis matplotlib numpy pandas risk-analytics seaborn
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https://github.com/nazwright/daria
Real-time fraud detection architecture powered by AWS Kinesis, KaggleHub, and SMOTE-augmented data — the foundation of DARIA, the Detection And Risk-Intelligence Agent.
aws evm fraud fraud-detection-using-machine-learning kaggle kinesis machine-learning math numpy pandas python random web3
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https://github.com/yousefalaaali/video-game-sales
Data Analysis Project - Video Game Sales
k-means-clustering matplotlib numpy pandas principal-component-analysis python scikit-learn seaborn
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https://github.com/shibam120302/indian_sign_language_translator
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imageai keras numpy opencv pillow tensorflow
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matplotlib numpy pandas python seaborn
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https://github.com/sujalk777/signal_systems_lab
This repository contains the assignments for the Signal Systems Laboratory course offered at IIT Jammu Autumn 24
jupyter-notebook librosa linux matplotlib numpy python raspberry-pi
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End To End Machine Learning Project guided by Krish Naik from Ineuron.
catboost dill flask-application numpy pandas python scikit-learn xgboost
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flask jsonify matplotlib numpy pandas pickle python requests
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https://github.com/kunalshelke90/students_marks_prediction_in_exams
Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization .Later on deployed on AWS with help of docker
dokcerfile flask githubactions machine-learning matplotlib mlops numpy pandas python seaborn
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https://github.com/varuntotakura/face-recognition
My own code for Face Recognition using Python
face-recognition numpy opencv python tensorflow
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https://github.com/c-mohammed-zaid/python
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jupyter-notebook matplotlib numpy pandas python scipy turtle
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https://github.com/kareem74x/data-mining-uni-project
A project focused on applying data mining techniques to extract insights from datasets
data-mining matplotlib numpy pandas python
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https://github.com/byteshiva/getmaplocation
Automate Dummy data from the open data source. Parse International Address, Geopy to automate map locations using lat and lon, Cache geopy map location calls using sqlite3, Use Pandas to parse and convert CSV to JSON
csv-parser geopy json numpy pandas pandas-dataframe parser pickle python3 sqlite3
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https://github.com/sayan520/titanic-data-insights
Conducting data analysis on Kaggle's Titanic: Machine Learning from Disaster dataset using essential data wrangling, exploratory data analysis (EDA), and visualization techniques to uncover insights, identify patterns, and explore factors influencing passenger survival.
jupyter-notebook kaggle matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/asier-ortiz/ai-course-notebooks
AI course Notebooks and Exercises
keras matplotlib numpy pandas python seaborn skit-learn tensorflow
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https://github.com/prashhhant213/customer-behavior-analysis-for-walmart-black-friday-sales
This project is a Walmart case study analyzing customer purchase behavior by gender and demographics to inform business decisions, especially around spending habits during events like Black Friday.
matplotlib numpy pandas python scipy seaborn
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https://github.com/techcsispit/algorithmic-trading
This project focuses on algorithmic training using Python in Jupyter Notebooks. It covers various data structures and algorithms, providing a hands-on approach to solving algorithmic challenges. The notebooks are designed to be interactive and educational for learners of all levels.
matplotlib numpy pandas python sklearn
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https://github.com/sumitkundu102022/ecobuddy
EcoBuddy: Personalized Carbon Footprint Tracker
bcrypt numpy pandas plotly pymongo python-dotenv requests streamlit
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https://github.com/mahmoudnamnam/superstore-analysis
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https://github.com/gyselle-marques/reconhecimentofacial-desafiodio
Machine Learning: Sistema de Reconhecimento Facial criado com OpenCV e YOLO11.
colab-notebook dataset dio-bootcamp face-detection face-recognition image-classification machine-learning numpy object-detection opencv opencv-python portuguese-brazilian python transfer-learning yolo yolov11
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https://github.com/afnanenayet/kaggle-titanic
The classic Kaggle Titanic data science challenge
backprop backpropagation classification classifier data forest kaggle layer learn mlp multi numpy pandas perceptron random science scikit sklearn titanic
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https://github.com/bearddan2000/python-web-3d-matplotlib-distribution-cumulative-graph
A demo of creating a 3d distribution cumulative graph.
3d cumulative distribution graph matplotlib numpy pandas python web
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https://github.com/jpcano/boston_housing
Predicting Boston Housing Prices using supervised Machine Learning algorithms
cross-validation machine-learning numpy pandas python regression-models scikit-learn
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https://github.com/armahdavi/mlops
Productionizing ML Models using a variety of tools including FastAPI, Flask, Doocker, AWS, GCP, TensorFlow Extended (TFX), and TF.js.
apache-beam docker fastapi logistic-regression mlops mlops-workflow numpy random-forest sklearn tensorflow-extended unicorn xgboost
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https://github.com/alisonmitchell/countries-of-the-world
Exploratory Data Analysis of US Government data from the World Factbook to investigate GDP ($ per capita), Literacy (%) and Phones (per 1000).
data-science machine-learning matplotlib numpy pandas python seaborn
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https://github.com/visu512/spotify-music-recommender
Built Spotify Music recommendation system using Machine learning
csv-files dataset jupyter-notebook kmeans-clustering machine-learning matplotlib numpy panda python scikit-learn spotify-api stream vscode
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jupiter-notebook numpy pandas python
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https://github.com/armahdavi/data_pipeline_analytics_statistics_ml_pm_psd_residential_qff
Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782
data-science data-visualization dust hvac indoor-air-quality jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn scipy-stats spyder spyder-python-ide statistics
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https://github.com/src3453/fluentscope
An oscilloscope that makes listening waveform more fun
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https://github.com/akashkg03/feynn-labs-internship
This repository contains the projects I did as a Data Science intern with Feynn Labs.
data-science machine-learning matplotlib numpy pandas python scipy seaborn
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https://github.com/Sadegh-Khedry/Pneumonia-Detection-Using-CNN
Classifying chest X-ray images into two categories: Pneumonia or Normal using a Convolutional Neural Network (CNN).
cnn convolutional-neural-networks cv2 deep-learning harris-corners joblib jupyter-notebook keras kmeans-clustering matplotlib numpy orb pandas python seaborn shutil sifit tensorflow
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https://github.com/reckonsys/datascience-docker
A docker image with numpy, scipy, nltk and pandas pre-installed with pip
docker docker-image dockerfile nltk numpy pandas scipy
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https://github.com/the-developer-306/fake-review-detector
This project is a machine learning-based review classification system that predicts whether a product review is GENUINE or FAKE. It preprocesses review text, analyzes sentiment, and uses numerical features like ratings and helpfulness to make predictions. The model is deployed via a Flask web application for user interaction.
classification flask logistic-regression machine-learning numpy pandas python renderdeploy scikit-learn sentiment-analysis
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https://github.com/abideen-olawuwo/house-prediction
A house prediction model
matplotlib numpy pandas seaborn sklearn
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https://github.com/hariprasath-v/av_job-a-thon-august-2022
Build a Machine Learning model to predict the CTR(click through rate) of an email campaign based on the email campaigning information.
exploratory-data-analysis klib machine-learning matplotlib numpy pandas pycaret-library regression seaborn sklearn
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https://github.com/ieCecchetti/Python_ML_DL_examples
A variety of Machine Learning and Deep Learning scripts in Python. Included some theorical info about that in the Readme
bayes-classifier bayesian-statistics deep-learning kernel machine-learning matplotlib neural-network numpy pandas pca pca-analysis python scikitlearn-machine-learning scipy shi
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https://github.com/abideen-olawuwo/logistic-regression-house-prediction
Using logistic Regression Model to predict house price
logistic-regression matplotlib numpy pandas python seaborn sklearn
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https://github.com/linggarm/priority-task-selection-using-evolutionary-programming
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artificial-intelligence css evolutionary-algorithms evolutionary-programming flask html javascript machine-learning numpy python
Last synced: 12 Apr 2026
https://github.com/aqueeqazam/numpy-for-mathematical-computing
You're at the perfect spot if you're interested in developing your career in data science or machine learning, or if you just enjoy having fun with mathematical operations.
mathematics numpy numpy-arrays
Last synced: 19 Apr 2026
https://github.com/AsuquoAA/CDC_2017_Immunization_Data_Analysis
This project analyzes data from the CDC's 2017 National Immunization Survey Public Use File (NISPUF17) to answer research questions about immunization, child health, and vaccine-related behaviors.
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https://github.com/rubada/machine-learning-with-ruba-dabbas
Advance your skills and start your career here, by taking the online courses on Intuidemy.
course learning machine machine-learning matplotlib matplotlib-pyplot models numpy pandas python scikit-learn
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https://github.com/abdulsamie10/convolutionneuralnetworkcifar-10
CNN applied on Cifar-10 database.
cifar-10 cifar-10-dataset cifar10 cnn colab-notebook convolutional-neural-network deep-learning jupyter jupyter-notebook machine-learning notebook numpy python python-3 python3 pytorch
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https://github.com/purcellcjp/credit-risk-classification
This project utilized Python and scikit-learn libraries to train and evalute a Machinge Learning model based on loan risk.
machine-learning numpy pandas-dataframe python scikit-learn
Last synced: 12 Apr 2026
https://github.com/llwusill/firepredictioncnn
CNN kullanarak Orman Yangını Tahmin/Tespit Sistemi
matplotlib numpy opencv-python pandas sckiit-learn seaborn tensorflow
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https://github.com/necraul/perlin-noise-py
Some examples of generating perling noise using Python
noise numpy perlin-noise python python3 vector
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https://github.com/francislauriano/chatsoftex
Plataforma desenvolvida em Python que visa automatizar e agilizar o processo de avaliação de projetos de inovação tecnológica, utilizando inteligência artificial e critérios padronizados com base na Lei do Bem.
cryptography fernet firebase flask flask-jwt-extended hugging-face-transformers numpy openai pdfplumber postgresql pyjwt pymupdf-fitz pypdf2 python pytorch scikit-learn scipy spacy sqlalchemy tensorflow
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https://github.com/testetson22/abelian_sandpiles
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https://github.com/daksh777/expressando
Expressando is a rock, paper, scissors game made using Python (TensorFlow, Keras and OpenCV)
keras keras-tensorflow machine-learning numpy opencv opencv-python tensorflow
Last synced: 13 Apr 2026
https://github.com/bachboy0/montecarlo
Python-based Monte Carlo simulations for statistical analysis and modeling.
monte-carlo-methods numpy python
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https://github.com/alphacrypto246/stock-price-movement-prediction
A project leveraging Polynomial Regression to predict stock price movements based on historical data. Includes data preprocessing, feature engineering, visualization, and model evaluation to provide insights for informed trading decisions.
machine-learning numpy pandas polynomial-regression scikit-learn yfinance
Last synced: 13 Apr 2026
https://github.com/nabilshadman/python-uk-weather-analytics
An end-to-end data science workflow of UK weather data
data-engineering data-science data-visualization machine-learning matplotlib numpy pandas scikit-learn
Last synced: 13 Apr 2026
https://github.com/williamfridh/umu_5tf078_paper_keyboard_tracker
Project exploring how a CNN alongside computer vision can be used to detect drawn keys and track finger input,.
cnn-classification computer-vision keras-tensorflow numpy python tensorflow
Last synced: 07 Jan 2026
https://github.com/ananyajain2004/fake-news-detection
A python project for detecting fake news using machine learning algorithms.
decision-tree-classifier gradient-boosting-classifier logistic-regression machine-learning numpy pandas python3 random-forest-classifier testing
Last synced: 13 Apr 2026
https://github.com/kucera-lukas/imagesecrets
RESTful API for encoding/decoding messages into/from images.
api asyncio docker fastapi heroku mypy numpy pillow poetry postgresql pydantic pytest pytest-cov pytest-mock python python-typing restful-api steganography swagger tortoise-orm
Last synced: 28 Feb 2025
https://github.com/veb-101/deeplearning-specialization-coursera
My Solutions to the course Deeplearning.ai
deep-learning jupyter-notebook keras matplotlib numpy pandas python3 tensorflow
Last synced: 13 Apr 2026
https://github.com/goessl/adjugate
A package for calculating submatricies, minors, adjugate- and cofactor matrices.
adjugate cofactor determinant inverse linear-algebra matrix minor numpy python submatrix
Last synced: 07 Jan 2026
https://github.com/debjyotisaha/web-application-projects
Web Applications developed with the help Python libraries and ML algorithms
algorithms cufflinks machine-learning matplotlib numpy pandas prediction python scikit-learn seaborn sklearn streamlit
Last synced: 13 Apr 2026
https://github.com/prateekrajsrivastav/financial-transition-classification
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matplotlib numpy pandas-python scikitlearn-machine-learning seaborn
Last synced: 07 Sep 2025
https://github.com/cezlul/analyse-ventes-immobilier
Solution ML d'analyse immobilière parisienne : classification automatique appartements vs commerces (K-means, 91%) et prédiction prix (régression, R²=0.98) sur 26K transactions. Valorise portefeuille 169M€ avec recommandations stratégiques data-driven.
data-analysis jupyter-notebook machine-learning matplotlib numpy pandas python sklearn
Last synced: 13 Apr 2026
https://github.com/lexiortiz/ibm-data-engineering-fundamentals
Notes, exercises, and projects from the IBM Data Engineering Fundamentals path via Verizon Skill Forward.
data-engineering numpy pandas postegresql python sql
Last synced: 13 Apr 2026
https://github.com/bbhargavpanchal/brain-tumor-segmentation-unet
U-Net based Convolutional Neural Network for brain tumor segmentation using MRI images. Implemented in Python with TensorFlow, OpenCV, and Scikit-learn.
keras-tensorflow numpy opencv pandas python scikit-learn sklearn tensorflow
Last synced: 13 Apr 2026
https://github.com/danhenriquex/data_science_and_machine_learning
A.I, Data Science & Machine Learning and Deep Learning with Tensorflow
deep-learning deep-neural-networks machine-learning matplotlib numpy pandas tensorflow
Last synced: 13 Apr 2026
https://github.com/hilarionengarejr/movie-recommender-app
Sentiment analysis on user reviews for movie recommendations using Content Based Filtering.
docker flask nltk numpy pandas python3 scikit-learn selenium
Last synced: 10 Apr 2026
https://github.com/pratyush905/farecast-nyc-taxifare-predictor
Machine learning models to predict nyc taxi fare based on given dataset
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Last synced: 13 Apr 2026
https://github.com/sanjaiveeran44/shopping-intent-analasys
This project predicts whether a visitor to an e-commerce website will make a purchase based on their browsing behavior. It includes data analysis, preprocessing, and machine learning modeling to understand online shopping patterns.
matplotlib matplotlib-pyplot numpy pandas python3 sklearn tensorflow
Last synced: 13 Apr 2026
https://github.com/dmarks84/coursework_project_text-mining-topic-modeling
Project for University of Michigan Applied Data Science Specialization -- Developed functions to score similarity between text passages.
data-modeling data-reporting data-visualization databases eda nlp numpy pandas python statistics text-mining
Last synced: 12 Apr 2026
https://github.com/evan-dg31/data-science
Exploratory Data Analysis (EDA), Predictive Modeling (Supervised and Unsupervised), Regression, Classification, Clustering
classification clustering data-analysis data-science data-visualization machine-learning matplotlib numpy pandas python regression-analysis seaborn
Last synced: 13 Apr 2026
https://github.com/darshanpakhale250-gif/customer-churn-prediction-ml
A machine learning project to predict customer churn using regression and classification models including logistic regression, decision tree, and random forest. Performed EDA, visualizations, and model evaluation. The dataset is taken from Kaggle and implemented in Google Colab.
colab-notebook customer-churn-analysis data-science decision-trees kaggle logistic-regression machine ml numpy pandas python random-forest
Last synced: 13 Apr 2026
https://github.com/blairnangle/python3-numpy-ta-lib
Docker image with NumPy and TA-Lib installed. Built and uploaded to Docker Hub using GitHub Actions.
Last synced: 13 Apr 2026
https://github.com/debjyotisaha/data-analytics-projects-phase-1
A set of projects on Data Analysis using Python and its libraries
matplotlib numpy pandas python seaborn sklearn streamlit
Last synced: 13 Apr 2026
https://github.com/annygutierrez/bank-ann
Basic Artificial Neural Network
keras matplotlib numpy pandas sklearn
Last synced: 13 Apr 2026
https://github.com/archishmansengupta/dnn
Digit Neural Network is a digit recognition network based on MNIST data set using numpy, pandas and matplotlib
matplotlib mnist neural-network numpy pandas python
Last synced: 13 Apr 2026
https://github.com/csengupta1101/rock-paper-scissor-game
Rock Paper Scissor game built with Python 3. Jupyter notebook used as IDE. Code File , Read Me attached herewith.
game if-else-statements numpy python python3 random
Last synced: 11 May 2026
https://github.com/alex1iv/asr_ru_numbers
Automatic Speech Recognition (ASR) system for Russian digits
audio-processing librosa numpy speech-recognition tensorflow
Last synced: 13 Apr 2026
https://github.com/alepm1990/nba-analytics
Análisis y trabajos en Python con BBDD deportivas
matplotlib-pyplot numpy pandas pyhon python3 seaborn
Last synced: 05 May 2026
https://github.com/paulo-santos-ds/machinelearninglogisticregression
A fraude de cartão de crédito é uma forma comum de fraude que afeta milhões de pessoas em todo o mundo. Essa fraude pode ter consequências graves, tanto para as vítimas quanto para as instituições financeiras que emitem os cartões de crédito.
math matplot numpy pandas python3 sklearn
Last synced: 13 Apr 2026
https://github.com/Verozavr/taxi-data-analytics-project
Data analytics and visualization projects in Python
challenge data-analitics data-analysis-python data-analytics data-science data-science-projects data-visualization matplotlib numpy pandas project projects python seaborn taxi-data training-project
Last synced: 31 Dec 2025
https://github.com/bhanuprakashnani/scit-tasks
Tasks for the SCIT Work Shop.
Last synced: 25 Apr 2026
https://github.com/animesh-chourey/loan-classifier
Trained machine learning algorithms (Logistic Regression, KNN, SVM, Decision Tree) specifically, after performing visualization and pre-preocessing tasks on a loan dataset. Executed the evaluation metrics such as F1-score, Log loss and jaccard-similarity score to assess the algorithms performance.
decision-tree f1-score jaccard-similarity knn logistic-regression logloss matplotlib numpy pandas preprocessing-data svm
Last synced: 06 May 2026
https://github.com/who-else-but-arjun/tourism_dashboard
dasboard data-science numpy plotly streamlit
Last synced: 13 Apr 2026
https://github.com/bhattbhavesh91/numpy-performance-test
Comparing the performance of Base Python Square root function with a numpy equivalent
Last synced: 20 Apr 2026
https://github.com/msikorski93/Linear-Regression-From-Scratch
Different solutions of linear and polynomial regression made from scratch.
from-scratch gradient-descent linear-regression numpy ordinary-least-squares polynomial-regression tensorflow
Last synced: 27 Apr 2025
https://github.com/yipjunkai/pyvolr
Modern Black-Scholes-Merton pricing, Greeks, and implied volatility for Python. Rust core. Drop-in replacement for the abandoned py_vollib.
black-scholes black-scholes-merton greeks implied-volatility maturin numpy options options-pricing py-vollib pyo3 python quant quantitative-finance rust
Last synced: 30 May 2026
https://github.com/shibbir24/a-data-driven-approach-to-food-security-and-supermarket-accessibility
A Data-Driven Approach to Food Security and Supermarket Accessibility
data-analysis matplotlib numpy pandas python3 seaborn
Last synced: 13 Apr 2026