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/khushi130404/catnet
CatNet is a simple machine learning project that classifies images as either a cat or not a cat using logistic regression. The dataset consists of labeled images of cats and non-cats, preprocessed and used to train a binary classification model.
h5py matplotlib numpy pillow scipy
Last synced: 12 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.
Last synced: 21 Jul 2025
https://github.com/ayushpatel2026/stock_predictor
Neural Networks to Predict Stock Prices
data-science flask-api machine-learning neural-network numpy python pytorch
Last synced: 07 May 2026
https://github.com/2kabhishek/ml-primer
Basic Machine Learning & Data Science in Python/ 📈🐍
jupyter-notebook machine-learning matplotlib numpy pandas python
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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/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/tugot17/linear-regression-from-scratch
Linear Regression concepts and intuitions presented using Jupyter Notebooks
from-scratch linear-regression numpy python
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https://github.com/dostuffthatmatters/jax-capability-analysis
demo repository containing the experiments for my master's seminar @ TUM
autograd click deep-learning huggingface jax jit-compilation mnist numpy python pytorch
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https://github.com/azaz9026/car_price_prediction_model
This repository contains a machine learning model designed to predict car prices based on various features. Using historical data on car attributes such as make, model, year, mileage, and other relevant factors, the model aims to provide accurate and reliable price estimates for used cars.
data-analysis data-engineering liner-regestion machine-learning modeling numpy pandas python3 rendering
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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/sudarshanc00/mnist-digit-classification
This project uses a machine learning model to classify handwritten digits (0-9) from the MNIST dataset, a popular collection of grayscale images for image classification benchmarking. It includes a Jupyter Notebook to train a neural network, enabling accurate recognition and classification of digits.
jupyter-notebook matplotlib numpy python tensorflow
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https://github.com/abdulsamie10/convolutionneuralnetworkcifar-10
CNN applied on Cifar-10 database.
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https://github.com/mayankanand007/betago
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java matlab matplotlib numpy opencv-python python3
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https://github.com/ailsonguedes/iris-flower-ml-project
Machine learning model using logistic regression to classify the Iris-Flower of dataset.
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https://github.com/ahmedabdalkreem/skin-cancer
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https://github.com/sofiaalmaz/fanfictionproject
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analysis fanfics fanfiction harry-potter jypyternotebook matplotlib ml networkx numpy pandas python scipy seaborn streamlit wordcloud
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https://github.com/criscorreas/ad-prediction-classification-models
Alzheimer's Disease (AD) prediction using the OASIS-2 dataset
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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
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https://github.com/RedInfinityPro/AI_projects
Rating (7/10) The code is a chatbot that interacts with users based on article content. However, issues include incorrect sorting, typos, incorrect indentation, and lack of explanations for each part, potentially affecting the bot's robustness and understanding of context.
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https://github.com/riya2624/heart-disease-diagnostic-analysis
Analyzed heart disease diagnostic data through an ETL process, ensuring data accuracy and readiness for analysis using Python (Pandas, NumPy, Matplotlib, Seaborn). Conducted comprehensive exploratory data analysis (EDA) to uncover trends related to heart disease rates by gender and age. Developed interactive dashboards with Power BI and Tableau
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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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In this repository I have Added my handwritten python codes to master the language and includes all the basic concepts of python.
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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
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Bank Beta Company focus on retain existing customers, our task is to create a model that predicts whether or not a customer will leave the bank soon.
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Some examples of generating perling noise using Python
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matplotlib numpy pandas python seaborn
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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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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
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crawling machine-learning monodb mysql numpy pandas python
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adam-optimizer data-visualization encoding exploratory-data-analysis feature-engineering hidden-layers hyperparameter-tuning keras-tensorflow kerastuner metrics neural-network numpy pandas regression relu scaling sequential-models
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https://github.com/alainlebret/python-et-ia-2
Personal resources from my course "Python & IA"
artificial-intelligence deep-learning image-processing machine-learning matplotlib neural-network numpy python scikit-image scikit-learn
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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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numpy python signal-processing
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matplotlib numpy pandas python seaborn
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https://github.com/timothyjan/intro-machine-learning-classifiers
We will use the scikit-learn library, which is a higher-level machine learning library that will work with NumPy data, and Pandas, a library that makes it easier to manipulate data. We will explore a variety of classification algorithms, and compare their performance on a “real-world” dataset, which will introduce its own set of challenges.
numpy pandas python scikit-learn
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https://github.com/lipskiyp/trading_dashboard
Pandas framework to analyze financial time-series and calculate various performance metrics (e.g. Sharpe Ratio and Max Drawdown Duration).
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https://github.com/paulo-santos-ds/llm
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deeptranslate googletranslate numpy pyngrok python streamlit
Last synced: 06 May 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.
Last synced: 12 Apr 2026
https://github.com/ewdlop/computational-physcis-notes
Computational Physics written in Python
maple matlab numpy physics-simulation python qsharp scipy wolfram-mathematica
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https://github.com/cycle-sync-ai/student-score-analysis
A data-driven student performance analysis project using UCI dataset (396 students, 33 features). Implements machine learning models (K-means, PCA, Decision Tree, Random Forest, Linear Regression) to analyze academic patterns and predict student scores based on lifestyle, health, and study habits.
clustering clustering-algorithm decision-trees feature-engineering learning-management-system linear-regression machine-learning machine-learning-algorithms matplotlib numpy pandas pca pickle prediction prediction-algorithm scikit-learn score seaborn student
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Last synced: 12 Apr 2026
https://github.com/elifftosunn/data-labeling
Bu araç veri kazıma aşamasından sonra verilerin istenilen kategoriye göre etiketlenmesi ve kullanılmayacak olan verilerin database'ten silinmesi ile makine öğrenmesi modellerini kullanmak için etiketleme adımınını otomatikleştirmek amaçlı yapılmıştır.
base64 kaleido numpy os pandas plotly postgresql psycopg2 psycopg2-binary time
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https://github.com/fimbres/emotion-recognition
This is an AI project developed in Python to recognize emotions in people.
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https://github.com/testetson22/abelian_sandpiles
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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.
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Build a Streamlit App – A user-friendly interface. Use Google API – Fetch YouTube channel data. Store in SQL Database – Save channel details for easy access. Search & Join Tables – Allow users to query and view data
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https://github.com/daksh777/expressando
Expressando is a rock, paper, scissors game made using Python (TensorFlow, Keras and OpenCV)
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This project is a Loan Approval Prediction System that uses Machine Learning to determine whether a loan application should be approved or rejected based on various factors. It is deployed using Streamlit for an interactive user experience.
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Exploratory Data Analysis of the Streaming Services like Neflix, Hulu, Disney+ etc
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A Machine Learning project to create a model to predict housing prices. The project is based on the example in chapter 2 of the book Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélion Géron
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https://github.com/mark1708/neurointerfaces-of-information-systems
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CAMSAI JupyterLite is a lightweight, browser-based environment tailored for AI-driven materials science research. It integrates CAMSAI tools, schemas, and workflows, enabling users to validate data, run simulations, and explore materials science applications without requiring local installation or setup.
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https://github.com/ayhem18/tinyad
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https://github.com/jim-by/tweet-sentiment-analysis
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https://github.com/f-ssemwanga/dab-dataanalysis
DAB Radio Data Analysis Application
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https://github.com/elmezianech/classifyreviews_nlp
Revolutionize customer feedback analysis with our NLP Insights Analyzer. Utilize cutting-edge text preprocessing to transform raw reviews into a machine-friendly format. Explore sentiment models, such as Logistic Regression and Naive Bayes, employing cross-validation for model robustness.
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Last synced: 06 May 2026
