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: 2026-07-02 00:21:34 UTC
- JSON Representation
https://github.com/akhileshthite/india-population
ML (simple linear regression) model for predicting India's population.
machine-learning numpy pandas python scikit-learn
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https://github.com/guru-bharadwaj20/saliency-maps
A saliency-guided autonomous driving system using cmSalGAN heatmaps, a custom Fusion model, and Faster R-CNN detection. It generates refined saliency maps, trains a saliency-aware detector, and simulates vehicle navigation using datasets like NJUD, NLPR, and STEREO.
cmsalgan numpy opencv python pytorch torchvision
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https://github.com/bhuvan-s-prasad/streamlit-regression
A machine learning project that predicts housing prices in California using regression techniques. This project includes comprehensive exploratory data analysis, feature engineering, linear regression modeling, and an interactive Streamlit web application for making predictions.
california-housing-price-prediction exploratory-data-analysis linear-regression machine-learning matplotlib numpy pandas python scikit-learn seaborn streamlit supervised-learning
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artificial-intelligence computer-vision deep-learning geolocation geopy keras machine-learning matplotlib numpy opencv pandas python tensorflow twilio vgg16
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Data Science and Machine Learning
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https://github.com/hmourad2023/tweets_sentiments_emotions_analysis
Les réseaux sociaux, et en particulier Twitter, sont des plateformes essentielles où les utilisateurs expriment leurs sentiments et émotions au quotidien. Analyser les tweets peut fournir des informations précieuses sur l’humeur collective et les préoccupations des gens. Ce projet utilise un dataset de tweets disponible sur Kaggle
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https://github.com/nickklos10/league-of-legends-match-predictor
Predicting League of Legends Match Outcomes Using Logistic Regression and PyTorch.
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A collaborative AI learning roadmap. I'm documenting my journey from grasping the fundamentals of Python to mastering Machine Learning. Feel free to fork and contribute — let's build our AI skills together!
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지역 축제를 기반으로 하는, 게이미피케이션을 접목시킨 지역 상권 맞춤 추천 서비스
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A Simple 2 layered Artificial Neural Network library made from scratch in Python and NumPy. Fitted with a feed forward method and backpropagation.
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Data analysis comparing the performance of Facebook and AdWords ad campaigns in 2019, Using Statical Methods such as A/B test focusing on clicks, conversions, cost-effectiveness, and seasonal trends.
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Last synced: 12 Apr 2026
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https://github.com/georgehanymilad/online-payments-fraud-detection
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https://github.com/parkjungyoon/til-data_study
✍ 데이터분석, 데이터베이스, 클라우드 컴퓨팅 등을 공부하고 기록하는 저장소 입니다.
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https://github.com/azaz9026/car_price_prediction_model
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EcoBuddy: Personalized Carbon Footprint Tracker
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Shock tube experiment planning and data analysis package.
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https://github.com/aaaastark/life_expectancy_predication
Life_Expectancy_Predication
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https://github.com/andrewzhoumq123/sci_graph_api
Generates different types of detailed plots for scientific data
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https://github.com/soumyapro/heart-disease-prediction
This project is aimed at predicting the likelihood of coronary heart disease (CHD) in individuals over the next ten years using Logistic Regression.
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https://github.com/raghavendra317/brain-tumor-detection
A deep learning-based project for classifying brain MRI images into Glioma, Meningioma, No Tumor, and Pituitary Tumor using Convolutional Neural Networks (CNNs). This project aims to assist in early tumor detection, improving diagnostic accuracy and healthcare outcomes.
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https://github.com/konynour/facedectection
This project demonstrates real-time face detection using OpenCV and a pre-trained SSD (Single Shot MultiBox Detector) model. The system captures video from a camera, processes the frames, detects faces, and displays the results with bounding boxes and confidence scores. This application showcases the use of deep learning models for object detection
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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.
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Last synced: 19 Apr 2026
https://github.com/supriya811106/twitter-sentiment-analysis
Analyzing the mood of tweets! We sort tweets on popular topics into positive, negative, or neutral categories to gauge public opinion. See what Twitter really thinks!
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Last synced: 05 Apr 2026
https://github.com/bearddan2000/python-web-3d-matplotlib-wireframe-graph
A demo of creating a 3d wireframe graph.
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https://github.com/shreyazh/respire
To deal with Respiratory Challenges
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https://github.com/marcelovilla/fire-congress-2019-tdf-talk
This repository contains the code used for the project presented in the "Fire activity on the Colombian Tropical Dry Forest: an environmental and social perspective" talk during the 8th International Fire Ecology and Management Congress.
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https://github.com/azaz9026/machine_learning_algorithms
Machine learning algorithms are computational models that allow computers to understand patterns and forecast or make judgments based on data without the need for explicit programming. These algorithms form the foundation of modern artificial intelligence and are used in a wide range of applications, including image and speech recognition.
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https://github.com/liviuxyz-ctrl/financialportofoliosimulator
FinancialPortfolio is your financial planning ally, helping you manage portfolios, calculate future values, and visualize performance, all with user-friendly ease🚀
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https://github.com/ben854719/wasde-revenue-in-2024
The project will use AI to analyze the revenue from the dataset of the World Agricultural Supply and Demands Estimates.
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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.
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https://github.com/samkazan/structural_discovery_of_macromolecules_data_analysis
This research project uses machine learning techniques and neural network to uncover key factors that contribute to successful protein structure discovery using Python and R
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This project aims to implement some machine learning basic techniques(e.g. MinMaxScaler, StandardScaler, TD-IDF, PCA, Logistic Regression, LDA, KNN, Naive Bayes Classifier) using only pyton, numpy and pandas. This will enable me to have hone my data scientist skills
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