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/iliailmer/numpy_learn
A small machine learning mock-library written entirely in numpy and shamelessly imitating PyTorch.
deep-learning machine-learning mnist numpy scipy
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https://github.com/sanjana-bongale/cancer_survival_data_analysis_and_prediction_using_logistic_regression
This project performs data analysis using Python to predict cancer patient survival outcomes. It involves data cleaning, exploratory analysis, and visualizations to explore factors like cancer type, stage, and treatments. A logistic regression model is built to predict patient survival based on demographic and medical data.
data-analysis data-cleaning data-science data-visualization eda jupyter-notebook kaggle logistic-regression machine-learning matplotlib numpy pandas predictive-modeling python scikit-learn seaborn
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https://github.com/abdullahkhurshid/lung-cancer-prediction
Exploring predictive machine learning for cancer prevention
data-visualisation keras-neural-networks machinelearning matplotlib numpy pandas python scikit-learn seaborn seaborn-python
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Loai Nazeer portfolio
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https://github.com/tabotcharlesbessong/python-errors
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matplotlib-animation matplotlib-pyplot numpy pandas python-script python3 scikit-learn seaborn
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numpy opencv-python pytorch qt5-gui threading ultralytics yolo
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Briefly describe the objective of the project—e.g., analyzing website performance metrics over time, uncovering trends in user engagement, or evaluating channel-wise traffic quality.
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https://github.com/4ngelojr/ai-ml-cheatsheets
🗂️ Access essential AI and ML concepts with quick-reference cheatsheets for effective learning and project implementation.
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https://github.com/labex-labs/numpy-for-beginners
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https://github.com/vitor-ace/sunspots-data-analysis
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data-analysis data-visualization debbuging error-handling file-handling matplotlib-pyplot numpy pandas python
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https://github.com/jaketherealone/machinelearningtoolset
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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.
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https://github.com/radithsandeepa/robot-path-visualizer
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animation numpy pygame python robot-simulation robotics trajectory-visualization
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https://github.com/shotadft/vecposlib
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math math-library numpy python python-lib python-library python3
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https://github.com/akash-207/ecommerce-monetization-analysis
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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.
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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/tomaslopera/fifa_analysis
exploratory-data-analysis matplotlib numpy pandas preprocessing-data
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/nathadriele/transaction_fraud_prevention_pipeline
Uma solução de detecção e prevenção de fraudes em transações financeiras, combinando Machine Learning, regras de negócio e análises estatísticas avançadas. O sistema oferece um dashboard interativo para monitoramento em tempo real, análise de dados e gestão de alertas de fraude.
data-analysis data-visualization docker fraud-prevention machine-learning matplotlib numpy pandas pipeline pytest python scikit-learn scipy seaborn streamlit tensorflow transaction xgboost
Last synced: 10 Apr 2026
https://github.com/zeeshan4002911/data-analysis-hub
Quality control, data processing, data cleaning, data ploting
jupyter-notebook jupyterlab matplotlib numpy pandas seaborn
Last synced: 03 May 2026