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/najmulislamnajim/election_data_analysis
css django html javascript numpy pandas python
Last synced: 08 Apr 2026
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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/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/secary/compsci7211
Foundations of Computer Science B
algorithms git numpy pandas shell unix
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ipynb machine-learning numpy pandas python random-forest-classifier scikit-learn seaborn
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communication data-modeling data-reporting dataframes eda hypothesis-testing matplotlib numpy pandas probability python scipy seaborn statistics visualization
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machine-learning numpy pandas python scikit-learn
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machine-learning numpy pandas scikit-learn scikitlearn-machine-learning
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Read and write RAW images (or data arrays) without a headache.
image-processing imagej ndarray numpy raw-data raw-image readers writers
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data-pipelines data-science data-visualization machine-learning matplotlib-pyplot numpy pandas-dataframe python scipy-stats sklearn statistics
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data-analysis data-visualization matplotlib numpy pandas python seaborn
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This repository features Exploratory Data Analysis (EDA) projects using Python, Pandas, NumPy, Matplotlib, and Seaborn to clean, explore, and visualize data. The goal is to uncover patterns, trends, and insights through statistical analysis and clear visualizations, preparing datasets for deeper analysis or modeling.
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https://github.com/labex-labs/numpy-for-beginners
This comprehensive course covers the fundamental concepts and practical techniques of NumPy, the essential library for numerical computing in Python. Learn to create, manipulate, and analyze arrays efficiently.
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exploratory-data-analysis linearregression matplotlib-pyplot numpy pandas randomforest randomforestregressor scikit-learn scikitlearn-machine-learning searborn visualization
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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.
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data-manipulation data-science dataanalysis datavisualization eda machine-learning matplotlib numpy pandas python random-forest scikit-learn seaborn
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https://github.com/sultanazhari/the-effect-of-weather-on-travel-frequency
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matplotlib-pyplot numpy python3 scipy seaborn
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https://github.com/alyssahusna44/poai-image-classification
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artificial-intelligence image-classification machine-learning model-training-and-evaluation neural-networks numpy pandas python tensorflow
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https://github.com/christabelsakyi/employee_attrition_prediction
This project implements a machine learning pipeline for predicting employee attrition using HR data. The system analyzes various factors that contribute to employee turnover and provides predictions to help HR departments take preventive measures.
machine-learning numpy pandas plotly python sklearn streamlit
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https://github.com/danish-jamil-01/image-dehazer
Remove the haze from the image using dark channel prior and guided filter
dark-channel-prior guided-filter guided-filtering ndimage numpy open-cv opencv opencv-python pillow python scipy skimage tkinter
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https://github.com/dulajkavinda/handwritten-recognition
🛢Handwritten Digit Recognition using OpenCV
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https://github.com/fazal-coder/data-science-business-analytics-tsf
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matplotlib numpy pandas python scipy
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https://github.com/RedInfinityPro/Python-Task-Manager
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matplotlib numpy psutil pygetwindow tkinter
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https://github.com/RedInfinityPro/CircuitPythonProjects
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matplotlib numpy os pyspice sys
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https://github.com/thangtran3112/machine-learning
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These files contain the Python exercises I completed as practice.
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Analysis via CLT and Visualization on Multinational Retail Corporation's data to provide insights and recommendations to improve their userbase.
math matplotlib numpy pandas python scipy-stats seaborn stats
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https://github.com/towaquimbayo/comp-3948
BCIT Computer Systems Technology (CST) - COMP 3948 (Predictive Modelling)
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Last synced: 09 Apr 2026
https://github.com/rociobenitez/deeplearning-airbnb-price-prediction
Deep Learning project for Airbnb price prediction, featuring data preprocessing and neural network models in Google Colab.
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ValueVanguard is a machine learning project for accurate house price predictions. Using advanced algorithms and real-world data, it empowers users to analyze and forecast property values efficiently. Perfect for developers, data enthusiasts, and real estate professionals. 🏠📈
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Last synced: 12 Apr 2026
https://github.com/1ayanabil1/100-days-of-python-bootcamp
Join me on my journey to code in Python every day for 100 days! 🐍 This challenge is designed to sharpen my programming skills, explore Python libraries, and build cool projects along the way.
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https://github.com/sk-g/mnist_beginners
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https://github.com/danishzulfiqar/predictive-maintenance-model-training
Model Training and Deployment Scripts for Predictive Maintenance.
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The Book Recommendation System uses collaborative and content filtering techniques to suggest books based on user preferences and content similarity.
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Python library to convert text dataset into arrays.
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Created a custom chatbot using Langchain. Here's a summary of what I did: Data Extraction: I gathered data about technical courses from the Brainlox website using Langchain’s URL loaders. Embedding Creation & Storage: I converted this data into embeddings and stored it in a vector store for efficient searching. API Development: I built a Flask
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Data Analysis
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https://github.com/shanaxrules/ml-exercise-practice
Notebook for all ML exercises
jupyter machine-learning machine-learning-algorithms matplotlib matplotlib-pyplot numpy pandas scikitlearn-machine-learning tensorflow
Last synced: 09 Apr 2026
https://github.com/armahdavi/ml-xgboost-regressor---rapid-filter-forensics_rff-dust-recovery-from-hvac-filter
ML modelling of dust recovery from HVAC filters: Linear Regression vs. XGBoost - Project Milestone: 2017-2020.
linear-regression machine-learning matplotlib matplotlib-pyplot mpl-toolkits-mplot3d numpy pandas python seaborn seaborn-plots sklearn xgboost-regression
Last synced: 09 Apr 2026
https://github.com/akshay-rajan/machinelearning
Introduction to Machine Learning
machine-learning machine-learning-algorithms matplotlib numpy pandas sklearn
Last synced: 09 Apr 2026
https://github.com/alphacrypto246/old-car-price-prediction
The Old Car Price Prediction project predicts used car prices using features like age, mileage, and fuel type. It includes data preprocessing, model training, and visualization of trends, with easy customization for additional features or models.
machine-learning numpy pandas scikit-learn scikitlearn-machine-learning
Last synced: 09 Apr 2026
https://github.com/lexxai/goit_python_ds_hw_03
Модуль 3. Класичне машинне навчання. Перенавчання. Лінійна регресія. LaTeX формули.
latex linear-regression matplotlib numpy pandas python scikit-learn
Last synced: 09 Apr 2026
https://github.com/amruta33/melanoma-detection
To build a CNN based model which can accurately detect melanoma. Melanoma is a type of cancer that can be deadly if not detected early. It accounts for 75% of skin cancer deaths. A solution that can evaluate images and alert dermatologists about the presence of melanoma has the potential to reduce a lot of manual effort needed in diagnosis.
keras machine-learning numpy pandas python3 sckiit-learn tensorflow
Last synced: 09 Apr 2026
