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/yc1909/mental_health_analysis
This is project that helps detect user's mental health based on user's description.
bert-embeddings chatbot classification exploratory-data-analysis generative-ai langchain large-language-models machine-learning nlp numpy ollama pandas python sentiment-analysis tensorflow
Last synced: 09 Mar 2026
https://github.com/aaaastark/web_scraping
Web Scraping
beautifulsoup csv matplotlib news numpy pandas pyhton python3 request requests scraper scraping web-scraping webscraping
Last synced: 10 Aug 2025
https://github.com/aravinda-1402/covid-detection-model-using-chest-x-ray
The objective of this project is to develop a Deep Learning Model to identify the X-Rays of healthy vs. Pneumonia (Corona) afflicted patients using the Chest X-Ray dataset, and use this model to power the AI application to test the Corona Virus in a faster phase.
classification cnn covid flask keras numpy pandas tensorflow
Last synced: 09 Apr 2026
https://github.com/abideen-olawuwo/sentimental-analysis
A sentimental analysis on movie Black Adam
beautifulsoup imbd-movies nlp numpy pandas python requests sentiment-analysis torch transformer
Last synced: 09 Apr 2026
https://github.com/jahanostg/healthguard_with-smart-ai-diagnosis-hub
This project is a Flask-based platform for patients, donors, and doctors, integrating hospital management in one solution. It uses Machine Learning models for predictive health analysis and Power BI for interactive dashboards. Through this project, I enhanced my skills in full-stack development, applied ML, and healthcare data solutions.
css flask-api google-colaboratory-notebooks html5 js machine-learning mysql numpy pandas pkl-model powerbi python-3
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https://github.com/jalijuhola/amazon-textual-reviews-recommender-
predicting score and recommending using amazon textual reviews
numpy pandas python scikit-learn typescript
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https://github.com/ananupam/eda-stock_market
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jupyter-notebook matplotlib numpy pandas python seaborn
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https://github.com/josafatburmeister/circle_detection
A Python package for circle fitting.
circle numpy objectdetection pointcloud python
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https://github.com/vipinchaudhary31122002/valuevanguard
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. 🏠📈
machine-learning matplotlib numpy pandas python sklearn streamlit
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https://github.com/jadelhelm/100-days-of-code-python
The Complete Python Pro Bootcamp 2024
100daysofcode 100daysofpython bootstrap bootstrap5 css css3 flask html matplotlib numpy pandas plotly python rest-api scikit-learn selenium-webdriver sqlite tkinter turtle
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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.
data-structures data-structures-and-algorithms data-visualization django flask machine-learning matplotlib numpy pandas python seaborn web-development
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https://github.com/ravi0529/e-commerce-annual-spend-model
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jupyter-notebook linear-regression matplotlib numpy pandas python scikit-learn scipy
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keras machine-learning machine-learning-algorithms mnist mnist-beginners mnist-classification mnist-dataset numpy overfitting python pytorch pytorch-implmention resnet resnet-50 scikit-learn scikitlearn-machine-learning sklearn tensorflow
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https://github.com/paulomppatricio/projeto_challenge_telecomx-br_parte-2
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data-science imblearn joblib machine-learning matplotlib modelos-preditivos numpy pandas python scipy seaborn sklearn statsmodels xgboost
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https://github.com/faisal-khann/banking_portfolio_risk_analysis
This analysis explores the banking customer dataset to uncover key patterns in account holdings, loan portfolios, income profiles, and transactional behavior. By integrating both financial and demographic variables, we examine customer engagement, lending trends, and risk exposure across different segments.
data-manipulation eda matplotlib numpy pandas powerbi python seaborn
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https://github.com/kasraskari/learn-python-codes
A beginner-friendly repository to learn Python programming through structured examples and scripts, covering topics from basics to advanced concepts.
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numpy opencv-python pycharm-ide
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https://github.com/nazmul-1117/100-days-of-machine-learning
I'm Nazmul so exited to start a new journey to learn 100 Days of Machine Learning. It's February 8, 2025. I'm so exited, let's see what happened insha'Allah
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https://github.com/prath0m/python-numpy
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https://github.com/ashish-kr-srivastava/olympic-games-eda---python
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https://github.com/vedanty3/bulldozer-price-prediction
A machine learning project aiming to build a machine learning model which could predict the sales price of bulldozer.
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https://github.com/hadjuse/spotify-recommendation-knn
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data-visualization exploratory-data-analysis numpy pandas python
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anaconda matplotlib numpy pandas plotly scikit-learn seaborn
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machine-learning numpy pandas sickit-learn
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https://github.com/zongxr/dcic2025-riverwaterprediction
闽江,福建省最大独流入海河流,流域降水丰沛。在新型电力系统和新阶段水利高质量发展的环境下,如何缓解流域防汛压力,提升水资源利用率是水电企业高质量发展的重中之重。目前,基于传统水文学原理已实现未来9小时甲级精度的洪水预报,但存在遇见期与预见精度上仍有提升空间,因此,通过结合人工智能技术实现流域入库流量的精准预测,对保障水库安全调度、防洪及清洁能源稳定供应具有重大战略意义。
lightgbm machine-learning numpy pandas sklearn time-series xgboost
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matplotlib mysql numpy oop-in-python pandasql python
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https://github.com/lmizner/codecademy_product_defects
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cdf jupyter-notebook numpy pmf ppf python rvs scipy-stats
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css dataset flask html joblib machine-learning numpy pandas scikitlearn-machine-learning
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https://github.com/takana671/noisetexture
Generating noise texture images.
cellular-noise cython domain-warping fractal noise-textures numpy periodic-noise perlin-noise python3 simplex-noise tileable-noise value-noise voronoi
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numpy python research-project tensorflow tensorflow-tutorials
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https://github.com/akashparley/ipl-data-analysis
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analytics data-visualization excel metplotlib numpy pandas python seaborn tableau-dashboards
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https://github.com/yareva/linear-regression-predictor
Linear Regression Predictor Model
matplotlib numpy pandas python sckit-learn
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https://github.com/dr-rompecabezas/medical-data-visualizer
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jupyter-notebook matplotlib numpy pandas python seaborn
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https://github.com/gnikit/fileio
A template allowing to read multiple columns of tab or space delimited files. Similar functionality to numpy.loadtxt()
Last synced: 04 May 2026
https://github.com/ola-kaznowska/median-statistic
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mathematics numpy python python3
Last synced: 04 May 2026
https://github.com/abhivur/graduate-income-forecaster
Contributors: Abdussalam Raheem, Chiara Su, and Joseph Botros
matplotlib numpy pandas python scikit-learn seaborn
Last synced: 04 May 2026
https://github.com/abhijais4896/belarus-car-price-prediction
Belarus-car-price-prediction
data-analysis datacleaning macine-learning numpy pandas python
Last synced: 04 May 2026
https://github.com/arjunravi26/deep_learning
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ann autoencoders cnn deep-learning deepseek-r1 lstm numpy rnn-tensorflow tensorflow transformer
Last synced: 04 May 2026
https://github.com/sweta-kaundilya/python_for_data_analysis
Learning Python and all the relevant libraries in python for Data field.
cufflinks data-analysis data-science matplotlib numpy pandas plotly python seaborn
Last synced: 04 May 2026
https://github.com/jonad/titanic_exploratory_analysis
Exploratory Data Analysis on Titanic Dataset
jupyter-notebook numpy pandas python3
Last synced: 04 May 2026
https://github.com/mariiasam/stroke-prediction
A model for predicting the risk of stroke in a patient
balanced-random-forest-classifier decission-tree-classifier gradient-boosting imbalanced-learning joblib logistic-regression matplotlib numpy random-forest-classifier scikit-learn seaborn streamlit
Last synced: 04 May 2026
https://github.com/sugha22/data_analysis
Actively upskilling in data science with hands-on learning during a Green Internship focused on environmental sustainability. Used Pandas and NumPy for data preprocessing and cleaning, and created visual dashboards in Excel and Tableau. Gained experience in interpreting sustainability metrics and communicating insights through data storytelling and
data-cleaning data-collection data-storytelling data-transformation excel numpy pandas preprocessing sustainability-metrics tableau-dashboards visualization
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https://github.com/silbena/gibbssampler
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gibbs-sampler gibbs-sampling numpy python
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color computer-vision demo google-colab gradio heatmap marchine-learning matplotlib model numpy opencv people-detection python smart-city ufrn visao-computacional vision-computer yolo yolov8
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matplotlib numpy pandas python seaborn
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https://github.com/abhinav330/911-emergency-calls-analysis
This Python Notebook analyzes emergency call data from the '911.csv' dataset. It uses various data visualization techniques to explore and gain insights into the emergency call data, including the types of calls, reasons for calls, and call patterns over time.
data-analysis data-science data-visualization eda exploratory-data-analysis exploratory-data-visualizations numpy pandas python
Last synced: 09 Jun 2026
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data-analysis data-manipulation data-preprocessing numpy pandas
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https://github.com/alphan26/optimal-logistics-locator
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https://github.com/jacobpclouse/526-hw-3-sss
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Last synced: 05 May 2026
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Last synced: 05 May 2026
https://github.com/farial-mahmod/nuclear-energy-generation-prediction-logistic-regression
Nuclear Energy Generation Prediction Logistic Regression project is aimed at predicting the nuclear energy generation based on the production (generation) data from 1991 to 2023 by using Logistic Regression.
energy kaggle logistic-regression machine-learning matplotlib nuclear-energy nuclear-power numpy power python3 sklearn
Last synced: 05 May 2026
https://github.com/sowmi0304/predictive-modeling-titanic-survival-prediction
Machine learning project to predict passenger survival on the Titanic using classification algorithms, data preprocessing, and model evaluation techniques.
machine-learning matplotlib numpy pandas python seaborn
Last synced: 05 May 2026
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Last synced: 05 May 2026
https://github.com/lruizap/tomography-with-algebraic-topology
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https://github.com/rayan-alam-uoit/space-x-launch-prediction-tool
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Last synced: 05 May 2026
https://github.com/mohitsai/boston-housing-data-analysis
Data Analysis Project for the City of Boston Government for insights into effect of property rennovations and remodelling on housing availability in the city
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https://github.com/anushkundu/crime-pattern-analysis
Analyzing Crime Patterns in Montgomery County, USA: An Inclusive Study Based on NIBRS Data (2016-2022)
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https://github.com/theadeelahmed/mall-customers-segmention
This project segments mall customers based on income, age, and shopping score. Using clustering techniques, it identifies key customer groups for targeted marketing campaigns. Tools used: Pandas, Matplotlib, Seaborn, and Scikit-learn
matplotlib-pyplot numpy pandas python3 seaborn sklearn-clustering
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https://github.com/nomissbowling/nomissbowling.github.io
nomissbowling.github.io
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https://github.com/abdelrahman-amen/neural_style_transfer
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https://github.com/vi-ssh-al/diamond-price-prediction
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https://github.com/supernovasatsangi23/modifying-biomarker-gene-identification-for-effective-cancer-categorization
A project that focuses on implementing a hybrid approach that modifies the identification of biomarker genes for better categorization of cancer. The methodology is a fusion of MRMR filter method for feature selection, steady state genetic algorithm and a MLP classifier.
dataset deep-learning deep-neural-networks feature-selection genetic-algorithm machine-learning machine-learning-algorithms mlp-classifier mrmr neural-network numpy pandas-dataframe python python3 scikit-learn scikit-learn-python tkinter-gui tkinter-python
Last synced: 05 May 2026
https://github.com/kalwalt/pybind-test
A simple example with pybind and numpy with C++ code
cplusplus numpy pybind11 python
Last synced: 05 May 2026
https://github.com/nxhawk/mln
Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.
decision-tree-classifier genetic-algorithm jupyter-notebook machine-learning-algorithms numpy pandas sklearn-library
Last synced: 06 May 2026
https://github.com/vikkiezdev/ai-global-index-analysis
This project analyzes the AI readiness of 62 countries using key indicators like government strategy, commercial activity, research, development, and infrastructure. Through data cleaning, EDA, and visualization, it identifies key drivers of AI adoption and competitiveness.
cleaning-data correlation-analysis eda matplotlib numpy pandas python3 seaborn statistical-analysis
Last synced: 06 May 2026