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/kane-dylan/spamshield
SpamShield
mechine-learing numpy pandas python scikit-learn scipy streamlit
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https://github.com/hariprasath-v/hackerearth_transunion-data-science-analytics-hiring-challenge_2022
Machine learning model to classify the credit score based on people bank details and credit related information.
catboost exploratory-data-analysis klib machine-learning matplotlib numpy optuna pandas python seaborn sklearn
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https://github.com/chandkund/customer-segmentation-using-k-means-clustering
Implemented K-Means Clustering to segment customers based on purchasing behavior, enabling targeted marketing strategies. Analyzed data, optimized clusters using the Elbow Method, and derived insights to enhance customer engagement and retention.
data-science kmeans-clustering machine-learning matplotlib numpy pandas python seaborn sklearn
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https://github.com/sharkb8t/credit-risk-classification
Demonstrates my abilities to use Jupyter Notebook with scikit-learn to train and evaluate a machine learning model.
jupyter-notebook numpy pandas pathlib python scikit-learn
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https://github.com/pedasoft-consult/sentiment_analysis
This project involves analyzing customer reviews to classify them as positive or negative using Logistic Regression. The workflow includes text preprocessing, feature extraction, training a model, making predictions, and evaluating its performance.
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https://github.com/linggarm/evolutionary-algorithms
Collection of codes of Evolutionary Algorithms college course (Knapsack Problem & Travelling Salesman Problem)
ant-colony-optimization evolution-strategies evolutionary-algorithms evolutionary-programming genetic-algorithms genetic-programming knapsack-problem matplotlib numpy particle-swarm-optimization python travelling-salesman-problem
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https://github.com/subratamondal1/quora-automated-text-classification
Text Classification with Bag of Words - Natural Language Processing
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kmeans-clustering matplotlib numpy pandas python seaborn
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https://github.com/sayginsaman/hand-gesture-desktop-controller
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chmod gesture gesture-control gesture-detection gesture-recognition gestures media mediapipe numpy opencv pip pyautogui python
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Complete statistical analysis of cavy lifetime dataset using Python, Pandas, NumPy, Matplotlib, and SciPy to explore, visualize, and infer the impact of bacilli infection on cavy lifetimes 🦫
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Parallel NumPy-like interface for large n-dimensional arrays on disk.
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https://github.com/rampal-punia/data-science-toolkit
Your Go-To Resource for Essential Data Science Related Commands, Concepts, Quick Overviews and Useful Functions.
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https://github.com/codealphaprojects/spotify-music-recommender
CodeAlpha Machine Learning Task-1
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https://github.com/nickklos10/compressive-strenght-prediction
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https://github.com/mahmud-kandawala/simulating-covid-19-python-
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https://github.com/kernel-loophole/data-analysis-with-pandas
pandas
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https://github.com/feguedi/clasificador-numeros
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https://github.com/baschin1103/neural-network-building-in-python
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https://github.com/lmizner/codecademy_biodiversity
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https://github.com/rubyyy1118/share-price-analysis
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https://github.com/abhirajp595/python
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Data Analysis
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https://github.com/ywatanabe1989/scitex-io
Universal scientific data I/O with plugin registry — save/load 30+ formats with one API. Part of SciTeX.
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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/spoortimorabad/personally-identifiable-information-pii-
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https://github.com/haimgoldfisher/data_sience_intro_final_project
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🧮 Type-safe array operations for NumPy, JAX, and PyTorch
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data-analysis numpy pandas python statistics
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https://github.com/harmonicode/signal_equalizer
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audio-processing numpy pyqt5 scipy signal-processing wiener-filter
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jupyter-notebook matplotlib numpy pandas python scikitlearn-machine-learning seaborn
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https://github.com/lexxai/goit_python_ds_hw_09
Модуль 9. Підбір гіперпараметрів НМ. Глибоке навчання. Tensorflow. Keras.
adam-optimizer data-science google-colab keras keras-tensorflow numpy python
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https://github.com/rakesh3596/tutedude_projects
It consist of 3 major project 1:Covid19 Analysis 2:Rainfall Prediction 3:Tumor Detection
csv-files matplotlib numpy pandas plotly python sklearn-library
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https://github.com/mjshubham21/ny_yellow_taxi_python_da_project
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data-analysis jupyter-notebook matplotlib numpy pandas python seaborn
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https://github.com/subhamsarangi/ml
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classifier deep-learning keras machine-learning neural-network numpy pandas python3 regression scikit-learn scipy tensorflow testing training
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https://github.com/yannbouyeron/yannbouyeron.github.io
Python pour les SVT
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https://github.com/codersales/machine-learning-classification
machine learning jupyter notebooks | data-science | priority | relevant | significant | green-light | 1 | may-2023-filtered | may-2023-filtered-2 | may-2023-filtered-3 | filtered-4 | frequent
authorized classification current decision-tree ensemble-techniques jupyter machine-learning more-than-100-commits more-than-300-commits numpy pandas python3 ranked repository-5 seaborn sklearn stacking sub-critical supervised-learning workstation
Last synced: 07 Mar 2026
https://github.com/harmanveer-2546/movie-industry
Investigate the film industry to gain sufficient understanding of what attributes to success and in turn utilize this analysis to create actionable recommendations for companies to enter the industry.
business business-analytics data-analysis datatime film-industry graphs matplotlib movie-database numpy pandas python scraping-websites seaborn visualization web-scraping-python
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https://github.com/splithor1zon/edu-barriermethodlp
Education material for learning/teaching of Linear Progrmming using Barrier Method. Presentation with commentary and python code available.
barrier-method convex-optimization cvxpy educational-project linear-programming numpy presentation python
Last synced: 01 May 2026
https://github.com/ialam085/super_store_sales_analysis_python
The project is indeed focused on performing an exploratory data analysis (EDA) of Super Store Sales data from various perspectives, using comprehensive visualizations.
charts matplotlib numpy pandas python seaborn visualization
Last synced: 10 Apr 2026
https://github.com/sairupeshl/portfolio-risk-calculator
A portfolio risk engine using Python, integrating the Yahoo Finance API to ingest and preprocess historical multi-asset price data
Last synced: 08 Jun 2026
https://github.com/abideen-olawuwo/wholesale_customer_data
An unsupervised learning model
clustering machine-learning matplotlib numpy pandas scipy seaborn sklearn
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https://github.com/killervardhan8/gesturedecode
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https://github.com/mchenryspagg/economic-variable-correlation-and-productivity-model
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correlation exchangerates inflation moneysupply numpy productivity python regression regression-analysis regression-models visualization
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https://github.com/headless-start/yolov4-tiny-raspberrypi
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https://github.com/shwetapardhi/assignment-2-set1-q1-basic-statistic-level-2
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https://github.com/hafidaso/predicting-industrial-machine-downtime-level-3
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imbalanced-learning numpy pandas python scikit-learn seaborn xgboost
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https://github.com/shibbir24/amazon-product-sales-data-analysis-trends-and-insights
Amazon Product Sales Data Analysis: Trends and Insights
amazon-dataset data-analysis matplotlib numpy pandas seaborn
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https://github.com/sasanka14/water_quality_predictions
Water Quality Prediction - College Project 🌊💧 Predicts water potability (safe/unsafe) using ML models like XGBoost & Random Forest. Features data preprocessing, feature importance, model evaluation, and visualizations. Built with Python, Pandas, Scikit-learn & Seaborn for analysis. 🚀
anaconda jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn xgboost
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https://github.com/ricky1984a/customer_analytics
Customer Analytics
kneed machine-learning matplotlib-pyplot numpy pandas python scipy seaborn sklearn
Last synced: 13 Apr 2026
https://github.com/mohhasan1/machine-learning
This repository is where I learn and store information about various machine learning libraries, such as Pandas, scikit-learn, and others. It serves as a personal reference for exploring and experimenting with different ML tools and techniques.
machine-learning matplotlib numpy pandas seaborn sklearn
Last synced: 01 May 2026
https://github.com/lorenzorottigni/ml-advertising
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Last synced: 16 Apr 2026
https://github.com/williyam-m/movie_booking_app
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https://github.com/5hraddha/sda-megaline-the-best-plan
Megaline is a telecom operator and it offers its clients two prepaid plans, Surf and Ultimate. The commercial department wants to know which of the plans brings in more revenue in order to adjust the advertising budget.
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https://github.com/hygull/trypandas
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https://github.com/urvee1810/air-quality-prediction-using-arima
Analyzed Beijing's air quality data using time series analysis and ARIMA modeling to forecast PM2.5 pollution levels. Identified seasonal patterns and correlations between pollutants, revealing insights into urban air quality trends and potential contributing factors.
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https://github.com/aadityasikder/neural-network-from-scratch-
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https://github.com/shoaib1522/credit-card-fraud-analysis
"A comprehensive project on Credit Card Fraud Detection combining Exploratory Data Analysis, Machine Learning, and an interactive Streamlit web app for real-world applicability."
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https://github.com/magnusrodseth/disaster-tweets
📚 Assignments in the course IT3212 - Data Driven Software at NTNU. Our task is to classify whether a tweet is related to a disaster or not.
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https://github.com/ashwin331133/liver_disease_detection
This dataset consists of 416 liver patient records and 167 non-liver patient records collected from North East of Andhra Pradesh, India. And The main objective of this project is to use classification algorithms to detect liver patients from healthy individuals.
data-visualization machine-learning numpy pandas python
Last synced: 16 Apr 2026
https://github.com/hanannazri/predictive-customer-churn-modelling-with-price-sensitivity-insights-
As a part of BCG Data Science Project, I developed a predictive churn-risk model for XYZ energy utility by engineering price, consumption and contract features and training XGBoost and Random Forest models to identify customers most likely to churn at current prices.
bcgx data-visualization exploratory-data-analysis feature-engineering jupyter jupyter-notebook model-training-and-evaluation numpy pandas random-forest scikit-learn xgboost
Last synced: 19 Aug 2025
