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: 2026-07-08 00:21:59 UTC
- JSON Representation
https://github.com/mhmudfzli/loan-approval-prediction
This project demonstrates a comprehensive approach to solving a regression problem using various machine learning models. The notebook includes: Data Preprocessing, Exploratory Data Analysis (EDA), Model Training, Hyperparameter Tuning, Model Evaluation, Feature Importance
automl catboost numpy pandas python scikit-learn seaborn
Last synced: 08 Apr 2026
https://github.com/praju-1/data_science_projects
It contains the necessary code, datasets, and documentation to understand, replicate, and build upon the project's findings and methodologies.
data-science datasets deep-learning exploratory-data-analysis machine-learning matplotlib numpy pandas predictive-analytics python seaborn sklearn statistics visualization
Last synced: 08 Apr 2026
https://github.com/lorenzorottigni/ml-yelp-reviews
Machine Learning python bootcamp: natural language processing on Yelp reviews
machine-learning nlp numpy pandas python scikit-learn seaborn
Last synced: 08 Apr 2026
https://github.com/dennis-mureti/final-data-analysis-data-science
African financial crisis data analysis
machine-learning matplotlib numpy pandas python seaborn
Last synced: 08 Apr 2026
https://github.com/abhishekbagdiya01/movies-recommendation-system
This repository contains the code for a movie recommendation system built using Jupyter Notebook.
aiml jupyter-notebook numpy pandas python scikit-learn
Last synced: 08 Apr 2026
https://github.com/ahmedabdalkreem/sentiment-analysis
This project performs sentiment analysis on a Twitter dataset, aiming to classify tweets into positive, negative, or neutral sentiments. Sentiment analysis is crucial for understanding public opinion on various topics, brands, or events based on social media data.
bert-model lematization matplotlib nlp nltk numpy pandas python3 sentiment-analysis stopwords streamlit
Last synced: 08 Apr 2026
https://github.com/mr-chang95/datascience_airbnb
Data Science Project for Udacity's Data Scientist Program. Using Python in Jupyter Notebook.
airbnb data-analysis data-science data-visualization jupyter-notebook numpy pandas python sklearn
Last synced: 08 Apr 2026
https://github.com/abhishek-k-git/feature-engineering-using-stock-exchange-data
Creating quantitative trading strategies requires historical and real-time data and involves comparing models against future returns post-training.
lightgbm matplotlib numpy pandas plotly seaborn
Last synced: 12 Apr 2026
https://github.com/omarsaad21/credit-train-data-science-project
This a full web application to predict the credit score of clients plus I did many visulizations to express many insights in chart
eda matplotlib ml numpy pandas python sklearn streamlit-webapp
Last synced: 09 Apr 2026
https://github.com/salamanderxing/jax-gaussian-bayes
A Multivariate Gaussian Bayes classifier written using JAX
cifar10 gaussian-bayesian-processes gaussian-naive-bayes jax multivariate-gaussian naive-bayes-classifier numpy xla
Last synced: 27 Apr 2026
https://github.com/caioandrian/data-analyst-procon
Análise dos dados do Procon, período de 2013 à 2016.
Last synced: 11 Apr 2026
https://github.com/shrutiii1109/diwali-sales-analysis-through-python
Data analysis project on Diwali sales using Python (Pandas, NumPy, Matplotlib, Seaborn). The goal is to analyze customer behavior, identify sales trends, and provide insights to improve marketing and business strategies.
data-analysis jupyer-notebook matplotlib numpy pandas python seaborn
Last synced: 30 Apr 2026
https://github.com/om-kanabar/sciencefair2025
This is my project for Chicago Public School's student science fair 2025.
chicago-public-schools matplotlib-pyplot neural-networks numpy python science-fair tensorflow
Last synced: 03 Nov 2025
https://github.com/nskamaleshmani/exoseeker
🌌 Discover and analyze exoplanets with ExoSeeker, a tool designed for efficient world-hunting using Python and data visualization techniques.
exoplanet-transits exoplanets gradient-boosting machine-learning matplotlib nasa nasa-data nasa-spaceapps-challenge numpy pandas perceptron-neural-networks random-forest streamlit
Last synced: 03 Nov 2025
https://github.com/isk-daniar/-contrast-improvements-on-pil
Contrast improvements on PIL
Last synced: 10 Jun 2026
https://github.com/shibbir-ahmad24/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: 05 Apr 2025
https://github.com/nishthasharma-22/binary-black-hole-merger-gravitational-waves-simulation
Repository of all astronomy related projects, including: Gravitational Waves graph from binary black hole merger
astrophysics blackhole-merger gravity-simulator matplotlib numpy python scipy
Last synced: 05 May 2026
https://github.com/apuravdivekar2032/real-estate-price-prediction
A real estate price prediction website developed using Python with Numpy and Pandas for data cleaning Matplotlib for data visualization and scikit-learn for model building, featuring a Flask server to handle HTTP requests and integrates a user-friendly UI built with HTML, CSS, and JavaScript
flask html-css-javascript jupyter-notebook matplotlib numpy pandas pycharm python3 sklearn vscode
Last synced: 20 Jan 2026
https://github.com/hawkharsh1/house-price-pridiction-model-using-ann
A deep learning-based regression model built using Artificial Neural Networks (ANN) in PyTorch to predict house prices from structured data. This project demonstrates the application of machine learning and deep learning techniques for solving real-world problems in the housing domain.
artificial-neural-networks deep-neural-networks machine-learning numpy pandas python3 pytorch scikit-learn
Last synced: 08 Apr 2026
https://github.com/ijproject/calculate-absorption-rate
大気を構成する分子ごとの赤外線吸収割合を計算するプログラム。
Last synced: 11 May 2026
https://github.com/dwija12903/mentorness-internship
Developed and applied technical skills in areas such as programming languages, data analysis, and machine learning methodologies.
matplotlib numpy pandas python scikit-learn
Last synced: 08 Apr 2026
https://github.com/priyasingh26/financial_document-data_extraction
This project extracts key information from financial documents like invoices and receipts using text recognition. It processes images, classifies documents, and extracts data, which is then stored in a CSV file. The aim is to automate data collection from scanned documents, reducing manual work and increasing accuracy.
data-extraction numpy ocr pandas pillow preprocessing pytesseract-ocr python sklearn torch transformers
Last synced: 08 Apr 2026
https://github.com/babagata/praktikum-4-data-analysis
Data analysis for course "Physics laboratory IV"
Last synced: 28 Apr 2026
https://github.com/haydencordeiro/terafeed
Terafeed - Addressing Zero Hunger in Africa (Sustainability Goal SDG 2)
javscript numpy pandas powerbi python scikit-learn tableau vuejs
Last synced: 08 Apr 2026
https://github.com/chandkund/image-classification-using-the-mnist-dataset
Image Classification using the MNIST dataset. This project leverages a Convolutional Neural Network (CNN) to recognize and classify handwritten digits with high accuracy. Includes data preprocessing, model architecture, and evaluation. Explore the code and results here!
computer-vision data-science machine-learning matplotlib numpy pandas python
Last synced: 08 Apr 2026
https://github.com/0eix/deepclassifier
DeepClassify - A Versatile Command Line Image Classifier
classification classifier cli cnn command-line-app deep-learning numpy pandas pillow python pytorch torchvision transfer-learning
Last synced: 08 Apr 2026
https://github.com/allenvox/neural
Workspace for Neural Networks class
jupyter-notebook neural-networks numpy python pytorch tensorflow
Last synced: 02 Jan 2026
https://github.com/zborovskaanna/grosery_store_sales_analysis
Python data analysis project. Analysis of grocery store sales using visualizations and reporting in Tableau
data-analysis data-visualization matplotlib numpy pandas python seaborn tableau
Last synced: 08 Apr 2026
https://github.com/raghavendranhp/airbnb-data-analysis
The Airbnb Data Analysis project focuses on analyzing Airbnb data using MongoDB Atlas, Python scripting, data preprocessing, visualization, and interactive geospatial insights. We delve into the world of property management and tourism to uncover trends, pricing variations, and location-based analysis.
eda jupyter-notebook mongodb numpy pandas powerbi preprocessing
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https://github.com/rakibhhridoy/covid19analysisindashboard-tableau
Covid19 dashboard analysis of world,north america,south east Asia and their characteristics upon pandemic. Some interesting statistics is shown by the data. The increase rate make effect on death and recover rate quite periodic. Simulating those changes make more interactive.
covid-19 dashboard data-processing dataviz numpy pandas python statistics tableau tableau-dashboards
Last synced: 06 May 2026
https://github.com/gperdrizet/datascience-devcontainer
Containerized development environment for data science projects
data-science jupyter matplotlib numpy pandas plotly python scikit-learn scipy seaborn statsmodels xgboost
Last synced: 06 Jul 2026
https://github.com/rdvdev2/tf-test
Mostres de ML i IA amb TensorFlow basades en els tutorials oficials per al PR
numpy python research-project tensorflow tensorflow-tutorials
Last synced: 22 Mar 2025
https://github.com/omraj0/covid19-data-analysis
Analysis of COVID-19 infection rates in various countries, correlating them with factors such as GDP per capita and social support.
covid-19 google-colab matplotlib numpy pandas python
Last synced: 19 Apr 2026
https://github.com/pranjalshivhare06/medical-ensurance-charge-predictor
The Insurance Price Predictor is a machine learning project designed to predict insurance costs based on various input features. The project leverages four different algorithms, with XGBoost emerging as the most accurate and efficient model.
fastapi machine-learning numpy pandas xgboost-classifier
Last synced: 19 Apr 2026
https://github.com/pabs-code/face-detection-using-haar-cascade-classifier
This is a Streamlit-based face detection application that uses the Haar Cascade classifier to detect faces in uploaded images.
face-detection haar-cascade-classifier numpy opencv python streamlit
Last synced: 08 Apr 2026
https://github.com/bala-1409/peerloankart-loan-fraud-detection-datascience-project
This project uses machine learning to predict whether a loan applicant will repay their loan. The project uses a dataset of historical loan data from PeerLoanKart, a peer-to-peer lending platform.
correlation data-analysis data-cleaning data-science data-visualization dimensional-analysis eda exploratory-data-analysis feature-engineering gradient-boosting-classifier hyperparameter-tuning juypter-notebook machine-learning machine-learning-algorithms numpy pandas predictive-modeling python3 scikitlearn-machine-learning supervised-learning
Last synced: 08 Apr 2026
https://github.com/muhkartal/e-forecast
machine learning-powered energy consumption prediction system that analyzes historical data to forecast future energy usage trends, optimizing efficiency and sustainability.
fastapi joblib matplotlib numpy pandas pydantic pytest sckit-learn seaborn tensorflow tqdm uvicorn xgboost yaml
Last synced: 08 Apr 2026
https://github.com/iliailmer/numpy_learn
A small machine learning mock-library written entirely in numpy and shamelessly imitating PyTorch.
deep-learning machine-learning mnist numpy scipy
Last synced: 09 May 2026
https://github.com/loaiwalid07/portfolio
Loai Nazeer portfolio
classification clustering computer-vision data-science deep-learning deep-neural-networks machine-learning matplotlib matplotlib-pyplot nlp nlp-machine-learning nltk numpy pandas plotly sklearn streamlit tensorflow-tutorials
Last synced: 08 Mar 2026
https://github.com/tabotcharlesbessong/python-errors
This repository will contain all python errors i will encounter in my life as a python plus their solutions
matplotlib-animation matplotlib-pyplot numpy pandas python-script python3 scikit-learn seaborn
Last synced: 16 Apr 2026
https://github.com/rosacarla/projetodio_covid19
Projeto desenvolve modelos com Python e Machine Learning para prever a evolução do COVID-19 no Brasil
etl machine-learning numpy pandas python
Last synced: 08 Apr 2026
https://github.com/shdrn2402/budget-analytics
Analyze a family's two-year spending in Israel to uncover trends, optimize budgets, and compare consumption patterns using Python, Pandas, and visualization tools.
jupyter-notebook matplotlib numpy pandas python seaborn visualization
Last synced: 08 Apr 2026
https://github.com/mondalbidisha/landmark-recognition
A solution for identifying and recognizing landmarks from images, addressing key challenges and leveraging both algorithmic and human expertise to achieve high accuracy and reliability.
jupyter-notebook kaggle kaggle-datasets numpy pandas python3
Last synced: 08 Apr 2026
https://github.com/gmork2/covid-19
A mathematical analysis of the infection growth
coronavirus covid-19 jupyter-notebook numpy pandas python scikit-learn
Last synced: 08 Apr 2026
https://github.com/lorenzorottigni/ml-lending-club
Machine Learning python bootcamp: random forest classifier on LendingClub dataset
ipynb machine-learning numpy pandas python random-forest-classifier scikit-learn seaborn
Last synced: 08 Apr 2026
https://github.com/shahbazshaddy/explainable-multimodal-ai-for-breast-cancer-and-pneumonia-prediction
A deep learning-based framework integrating explainable multimodal AI for accurate prediction and transparent diagnosis of breast cancer and pneumonia.
deep-learning explainable-ai grad-cam groq-api llm machine-learning matplotlib multimodal numpy pandas python pytorch scikit-learn seaborn streamlit
Last synced: 08 Apr 2026
https://github.com/dmarks84/coursework_project_boston-data-project
Project for IBM Data Science course on Statistics -- Read in a large data set and performed several statistical analyses and hypothesis testing
communication data-modeling data-reporting dataframes eda hypothesis-testing matplotlib numpy pandas probability python scipy seaborn statistics visualization
Last synced: 08 Apr 2026
https://github.com/seymencanates/pythonn
Here is my all personal educations , notes , basic apps I did. Here will be my backside for all supportive information about python I am gonna need.
django flask numpy pandas python3 scikitlearn-machine-learning tensorflow tkinter
Last synced: 08 Apr 2026
https://github.com/ashithapallath/comparison-of-ssd-sad-in-motion-estimation-of-video-coding
Course assignment for Algorithm and Massive Datasets comparing SAD and SSD for motion estimation. Includes analysis of accuracy, speed (Python/NumPy), and error sensitivity. Highlights trade-offs for speed-critical vs. precision-focused applications.
l1-normalization l2-norm numpy pytho video-cod
Last synced: 04 Apr 2025
https://github.com/sarthakm402/rabbi
A Ml library that can be used ot clean,and use models to predict on data
numpy optuna pandas pypi-package python sklearn
Last synced: 20 Apr 2026
https://github.com/barraharrison/seoul-bike-sharing
Performing EDA on a kaggle dataset to look at the distribution of Seoul's bike-sharing system
jupyterlab matplotlib numpy pandas python scikit-learn seaborn
Last synced: 23 Jul 2025
https://github.com/alphacrypto246/insurance-charges-prediction
The Predicting Insurance Charges project uses Decision Tree Regression to predict insurance charges based on features like age, sex, BMI, and smoking habits. It involves data preprocessing, feature scaling, and model evaluation with metrics like MAE and R².
machine-learning numpy pandas scikit-learn scikitlearn-machine-learning
Last synced: 03 May 2026
https://github.com/elijah-1994/modelling-airbnbs-property-listing-dataset
Training and Evaluating classification and regression model use cases on the Airbnb dataset.
data-science machine-learning numpy pandas plotly python pytorch sklearn
Last synced: 10 Apr 2026
https://github.com/bassemhalim/webrtc-demo
webrtc demo using aiortc library
Last synced: 09 Apr 2026
https://github.com/eljandoubi/disasterresponsepipeline
Project aim is to build a Natural Language Processing (NLP) model to categorize messages on a real time basis.
flask nltk numpy pandas plotly scikit-learn scipy sqlalchemy
Last synced: 09 Apr 2026
https://github.com/priyankapriyadarshini50/autos_data_analysis
Data Analysis of auto dataset
matplotlib numpy pandas psycopg2 scikit-learn scipy seaborn
Last synced: 09 Apr 2026
https://github.com/dakshsammi/arkaid
Arkaid is a game performance analytics platform developed for the Information Integration Architecture Course - CSE656 (IIIT Delhi). It uses a data warehouse approach to analyze gaming data from multiple sources and provides insights via an AI-driven interface.
ai airflow aws database-management datawarehouse docker etl flask information-integration numpy openai postgresql python togetherai
Last synced: 09 Apr 2026
https://github.com/roluochke/real-estate-price-prediction-app
This is a data science project for a real estate price prediction website.
flask html-css-javascript jupyter-notebook matplotlib numpy python sklearn
Last synced: 09 Apr 2026
https://github.com/riyajain255/customer-segmentation-for-e-commerce
This project analyzes online retail data to segment customers using K-Means clustering and build classification models to predict those segments based on purchasing behavior.
customer-segmentation data-analysis kmeans-clustering logistic-regression machine-learning matplotlib numpy pandas python random-forest scikit-learn seaborn-plots
Last synced: 02 Apr 2026
https://github.com/zakintaliban/indonesia-train-passenger-forecasting
A project to analyze and forecast train passenger numbers in Indonesia using Python, Pandas, and Scikit-learn.
bps data-analysis data-science dataanalysis datascience forecasting indonesia kereta-api machine-learning machinelearning numpy pandas python scikit-learn scikitlearn seaborn time-series
Last synced: 29 Apr 2026
https://github.com/kushalagarwalla/netflix-movie-data-analysis
🚀 Netflix Data Analytics Project 🎬📊 | Analyzed 9K+ movies to uncover insights on genres, popularity, votes & release trends. Includes EDA, KPIs & visualizations using Python (Pandas, NumPy, Matplotlib, Seaborn). Supports data-driven content & engagement strategy.
data-analysis data-visualization jupyter-notebook numpy pandas python seaborn
Last synced: 06 May 2026
https://github.com/kandil2001/lid-cavity-evolution
Lid Cavity Evolution is an open-source CFD suite for the lid-driven cavity problem, featuring MATLAB, Python, and parallel solvers with benchmark comparisons.
benchmarking cfd cfd-simulation lid-driven-cavity matlab mpi numpy open-source openfoam openmp parallel-computing python scientific-computing simple-algorithm star-ccm
Last synced: 06 May 2026
https://github.com/4ngelojr/ai-ml-cheatsheets
🗂️ Access essential AI and ML concepts with quick-reference cheatsheets for effective learning and project implementation.
bigdata cheatsheet computer-science convolutional-neural-networks data-science deep-learning dl excel hadoop keras linux neural-networks numpy pig plotly probability sql statistics
Last synced: 01 May 2026
https://github.com/vitor-ace/sunspots-data-analysis
This is a Jupyter Notebook which works with Data Analysis logic and libraries implementation with Python.
data-analysis data-visualization debbuging error-handling file-handling matplotlib-pyplot numpy pandas python
Last synced: 06 May 2026
https://github.com/rohanbanerjee1234567-cell/prediction-of-expected-salary-using-machine-learning
Here is my first Project Repository where I have made a Machine Learning Project using Python. The Problem statement was to train a model based on the given Dataset and from there we need to Predict the Expected Salary of an Employee who will have similar profiles.
exploratory-data-analysis linearregression matplotlib-pyplot numpy pandas randomforest randomforestregressor scikit-learn scikitlearn-machine-learning searborn visualization
Last synced: 27 Apr 2026
https://github.com/abhishek-patidar066/synthetic-datasets
Synthetic datasets are artificially generated data used for training machine learning models, simulating real-world data while ensuring privacy.
clustering datasets jupyter-notebook libraries matplotlib-pyplot numpy pandas-dataframe python random sklearn
Last synced: 15 Apr 2026
https://github.com/crvargasm/metnumun2021i
Universidad Nacional de Colombia - Métodos Numéricos ~ Grupo 1 2021-I
matplotlib numerical-analysis numpy pandas python quantopian
Last synced: 12 Apr 2026
https://github.com/jpcadena/cancer-classification
Breast cancer classification project.
cancer-detection classification data-analysis data-science deep-learning imblearn machine-learning neuronal-network numpy pandas pylint python scikit-learn supervised-learning tensorflow
Last synced: 09 Apr 2026
https://github.com/noxs1d/cv-emotion-classification
This project is a deep learning-based system for detecting human emotions from facial images using TensorFlow, OpenCV, and NumPy.
cnn cnn-classification dockerfile keras numpy opencv tensorflow transfer-learning
Last synced: 09 Apr 2026
https://github.com/mayankmittal29/tensortinker_statistical_methods_in_ai
This repository contains implementations of various machine learning algorithms from scratch, including Multi-Layer Perceptron (MLP), Gaussian Mixture Models (GMM), Principal Component Analysis (PCA), Autoencoders, and Variational Autoencoders.
autoencoder-mnist cupy gmm-clustering image-segmentation matplotlib-pyplot mlp-classifier mlp-regressor mnist-dataset numpy pandas pca python3 pytorch roc-auc seaborn torch variational-autoencoder
Last synced: 09 Apr 2026
https://github.com/har8899/students-scores
Data Analysis with Python
dataanalysis dataframe matplotlib numpy python seaborn
Last synced: 09 Apr 2026
https://github.com/v-mayya/resale-revolution
Empower Hacks Hackathon Submission
html matplotlib numpy pandas python sqlite streamlit
Last synced: 09 Apr 2026
https://github.com/jcardonamde/datasets_ml
This project analyzes cab and limousine travel data in New York City. This with the goal of predicting the total duration of trips within the city. Machine learning models were used.
data-science machine-learning machine-learning-algorithms matplotlib numpy pandas pipelines python seaborn sklearn
Last synced: 09 Apr 2026
https://github.com/stefagnone/text_adventure_game
A text-based adventure game project using Python fundamentals
matplotlib numpy pandas python r scikit-learn seaborn sql
Last synced: 09 Apr 2026
https://github.com/n-t-raghava/the_sweet_16
This project detects faces in real-time from a webcam feed or an uploaded image and predicts age (in bins of 5 years) and gender (Male/Female). The model is based on OpenCV’s Deep Neural Network (DNN) module and pre-trained models for face, age, and gender detection.
caffemodel deep-learning flask numpy opencv python
Last synced: 09 Apr 2026
https://github.com/shauryashaurya/marty_mcfly
Code, text and notebooks on a tutorial for Introduction to Machine Learning using open sources
anaconda jupyter-notebooks machine-learning machine-learning-tutorials notebook numpy python regression scikit-learn scipy tutorial
Last synced: 09 Apr 2026
https://github.com/rajireddy15/employee-attrition-prediction-hr-analytics-
Employee Attrition Prediction (HR Analytics) helps organizations analyze employee data, identify factors driving turnover, and predict attrition using machine learning and visual dashboards, enabling data-driven HR decisions and retention strategies.
data-cleaning data-collection data-manipulation data-preprocessing data-science data-visualization eda feature-engineering imbalanced-data machine-learning mysql-database numpy pandas
Last synced: 04 May 2026
https://github.com/kishanlalchoudhary/be-sem-8
BE SEM 8 Assignments
cpp deep-learning hpc keras matplotlib numpy openmp pandas scikit-learn seaborn tensorflow
Last synced: 28 Jul 2025
https://github.com/epsoft/tex-classification
Tex Classification
classification classification-algorithm farsi matplotlib numpy pandas persian tensorflow tex-classification textvectorization
Last synced: 09 Apr 2026
https://github.com/shambac/shamboflow
Fierce tensorflow competitor
cuda cupy machine-learning numpy pypi-package
Last synced: 19 Feb 2026
https://github.com/arijitdas0211/live-image-capture-and-emotion-detection
colab-notebook numpy pandas python scipy
Last synced: 29 Jul 2025
https://github.com/morsalinislamshapon/diabetes-prediction-systemv3
This repository contains a machine learning model that predicts diabetes using user health data. It features an interactive web interface built with Streamlit and provides insights into model predictions through SHAP and permutation importance. 🐙🌟
jupyter-notebook machine-learning matplotlib numpy pandas plotly randomforestclassifier sckit-learn seaborn streamlit-webapp
Last synced: 29 Jul 2025
https://github.com/arjunravi26/glucose-monitoring
Glucose Monitoring system to monitor patients and notify whenever glucose goes high.
machine-learning numpy pandas plotly python3 streamlit xgbboostregressor
Last synced: 30 Jul 2025
https://github.com/ledsouza/MedPhys-BI
Aplicativo desenvolvido para gestão e análise de dados do Serviço de Física Médica em Medicina Nuclear do HCPA
aws boto3 cloud-computing cloud-run docker dotenv gcp mongodb numpy os pandas plotly pymongo python s3 streamlit terraform vitrinedev yaml
Last synced: 22 Sep 2025
https://github.com/youssefali11997/free-style-coding
Scripts written as practice, trying new technology or just playing with the code !
bash javascript numpy python3 ruby-on-rails scripts vuejs
Last synced: 12 Apr 2026
https://github.com/abeed04/face-recognition-using-computer-vision-cv2
OpenCV (cv2) can be used for face recognition by detecting faces, extracting facial features, and comparing them to a database of known faces.
cmake cv2-library dlib-face-recognition face-recognition flask numpy pycharm-ide python
Last synced: 08 Feb 2026
https://github.com/werctfourth/python-border-autocrop2
Python script that crops borders from images v2
border crop image-processing libvips numba numpy python python3
Last synced: 17 May 2026
https://github.com/vigneshvaranasi/breast_cancer_detection
This project employs machine learning, focusing on Logistic Regression, to detect breast cancer using tumor-related features. The dataset is preprocessed, and the model achieves 100% accuracy on the test set. The goal is to gain insights into breast cancer factors and provide an effective detection solution.
jupyter machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 09 Apr 2026
https://github.com/darkdk123/handwashing-discovery-analysis
A Guided Project in a Boot camp to Analyse the Original Data used in the Discovery of Viruses & Hand Washing By Dr. Ignaz Semmelweis in Vienna General Hospital in the 1840s.
data-analysis data-science data-visualization matplotlib-pyplot numpy pandas plotly-python python seaborn-plots
Last synced: 09 Apr 2026
https://github.com/nagipragalathan/python_tutorial_for_data-science
This repository is a comprehensive guide for learning data science using Python. It covers various essential libraries and tools commonly used in the field of data science, including Jupyter Notebook, Matplotlib, NumPy, Pandas, Scikit-learn, and PyTorch.
datascience datavisualization deeplearning jupyter jupyter-notebook learning-by-doing learningresources machinelearning matplotlib numpy opensource pandas python python-script python3 pytorch pytorch-implementation scikitlearn tutorial
Last synced: 09 Apr 2026
https://github.com/sridharyadav07/machine-learning-project-bankruptcy-prevention-
The project explores multiple machine learning algorithms and evaluates their performance using various metrics, such as accuracy and confusion matrices. The models tested include Logistic Regression, K-Nearest Neighbors (KNN), Naive Bayes, and Support Vector Machine (SVM). In addition, regularization techniques (L1, L2) are used to avoid overfit.
data-preprocessing evaluation machine-learning-models matplotlib-pyplot modelbuilding modeldeployment numpy pandas python scikit-learn seaborn
Last synced: 09 Apr 2026
https://github.com/trivediayush/accident-and-drowsiness-detection
Our college minor project is a comprehensive solution aimed at enhancing road safety. The project comprises two main components: an Accident Detection Model and a Real-Time Driver Drowsiness System.
accident-detection accidents-analysis college-project cvzone dlib-face-detection dlib-face-recognition face-detection face-recognition imutils minor-project numpy opencv pandas python python3 yolov8
Last synced: 09 Apr 2026
https://github.com/dmarks84/ind_project_european-soccer-top-points-contributors--kaggle
Independent Project - Kaggle Dataset-- I worked on the European Soccer Dataset, using SQL (SQLite) to read in the data and then data wrangling before running statistical analysis and hypothesis testing on questions of who helps earn the most points for their team.
data-wrangling hypothesis-testing numpy p-values pandas python scipy-stats statistics t-test
Last synced: 09 Apr 2026
https://github.com/blinksta1ker/co2-prediction
EDA and Supervised ML model using Regression to predict Co2 Emissions from Vehicles
jupyter-notebook machine-learning numpy pandas python regression seaborn sklearn supervised-learning
Last synced: 09 Apr 2026
