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/pranjalshivhare06/medical-ensurance-charge-predictor
The Insurance Price Predictor is a machine learning project designed to predict insurance costs based on various input features. The project leverages four different algorithms, with XGBoost emerging as the most accurate and efficient model.
fastapi machine-learning numpy pandas xgboost-classifier
Last synced: 19 Apr 2026
https://github.com/pabs-code/face-detection-using-haar-cascade-classifier
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
Last synced: 08 Apr 2026
https://github.com/tabotcharlesbessong/python-errors
This repository will contain all python errors i will encounter in my life as a python plus their solutions
matplotlib-animation matplotlib-pyplot numpy pandas python-script python3 scikit-learn seaborn
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https://github.com/rosacarla/projetodio_covid19
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etl machine-learning numpy pandas python
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https://github.com/shdrn2402/budget-analytics
Analyze a family's two-year spending in Israel to uncover trends, optimize budgets, and compare consumption patterns using Python, Pandas, and visualization tools.
jupyter-notebook matplotlib numpy pandas python seaborn visualization
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https://github.com/secary/compsci7211
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https://github.com/seymencanates/pythonn
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django flask numpy pandas python3 scikitlearn-machine-learning tensorflow tkinter
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flask nltk numpy pandas plotly scikit-learn scipy sqlalchemy
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classification-algorithm decisiontree decisiontreeclassifier ibm k-nearest-neighbor knn knn-classification logistic-regression lr matplotlib ml numpy pandas python sklearn sklearn-library support-vector-machine svm svm-classifier visualization
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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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This project focuses on analyzing e-commerce sales data through data visualization. It highlights customer behavior, popular sales channels, product category trends, and city-wise performance to provide actionable business insights.
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🗂️ Access essential AI and ML concepts with quick-reference cheatsheets for effective learning and project implementation.
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https://github.com/shauryashaurya/marty_mcfly
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https://github.com/ledsouza/MedPhys-BI
Aplicativo desenvolvido para gestão e análise de dados do Serviço de Física Médica em Medicina Nuclear do HCPA
aws boto3 cloud-computing cloud-run docker dotenv gcp mongodb numpy os pandas plotly pymongo python s3 streamlit terraform vitrinedev yaml
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cmake cv2-library dlib-face-recognition face-recognition flask numpy pycharm-ide python
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https://github.com/vigneshvaranasi/breast_cancer_detection
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This repository is a comprehensive guide for learning data science using Python. It covers various essential libraries and tools commonly used in the field of data science, including Jupyter Notebook, Matplotlib, NumPy, Pandas, Scikit-learn, and PyTorch.
datascience datavisualization deeplearning jupyter jupyter-notebook learning-by-doing learningresources machinelearning matplotlib numpy opensource pandas python python-script python3 pytorch pytorch-implementation scikitlearn tutorial
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https://github.com/sridharyadav07/machine-learning-project-bankruptcy-prevention-
The project explores multiple machine learning algorithms and evaluates their performance using various metrics, such as accuracy and confusion matrices. The models tested include Logistic Regression, K-Nearest Neighbors (KNN), Naive Bayes, and Support Vector Machine (SVM). In addition, regularization techniques (L1, L2) are used to avoid overfit.
data-preprocessing evaluation machine-learning-models matplotlib-pyplot modelbuilding modeldeployment numpy pandas python scikit-learn seaborn
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https://github.com/dmarks84/ind_project_european-soccer-top-points-contributors--kaggle
Independent Project - Kaggle Dataset-- I worked on the European Soccer Dataset, using SQL (SQLite) to read in the data and then data wrangling before running statistical analysis and hypothesis testing on questions of who helps earn the most points for their team.
data-wrangling hypothesis-testing numpy p-values pandas python scipy-stats statistics t-test
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https://github.com/mr-chang95/twitter_datawrangling
Twitter Data Wrangling for Udacity's Data Analyst Nanodegree Program
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https://github.com/ashar97/advanced-machine-learning
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https://github.com/jjwizardmp/gallery-art-problem
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https://github.com/rezapace/machine-learning-sound-detection
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colab-notebook googlecolab jupyter-notebook machine-learning numpy pathlib python python3 sound source tensorflow voice voice-recognition
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https://github.com/mrandolph95/grad-projects
Projects completed during my ASU grad program for Social Data Science.
beautifulsoup nltk numpy pandas regression-analysis sckiit-learn seaborn selenium
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https://github.com/waghraj1699/codeclauseinternship_customer_segmentation_tool
Implementing customer segmentation using ML, covering exploring advantages, preprocessing, K-means clustering, and visualization.
data-preprocessing kmeans-clustering machine-learning numpy pandas visualization
Last synced: 08 May 2026
https://github.com/mrmalik2512/catsvsdog.github.io
A CNN model integrated with flask backend the project is trained on image data of dogs and cats and integrated with a website predicts the given image is dog or a cat
deep-learning numpy python scikit-learn tensorflow
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https://github.com/estaheri7/dotawinpredictor
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https://github.com/kumartusha/Data_Scientist-AI-ML-_Training_Anudip_Foundation
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We all have experienced a time when we have to look up for a new house to buy. But then the journey begins with a lot of frauds, negotiating deals, researching the local areas and so on. So to deal with this kind of issues Today, I prepared a MACHINE LEARNING Based model, trained on the House Price Prediction Dataset.
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This repository showcases my BCG X virtual internship project on customer churn analysis for PowerCo, covering business understanding, EDA, feature engineering, and modeling using Python and machine learning.
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https://github.com/sultanazhari/the-effect-of-weather-on-travel-frequency
Zuber Company need to know passenger preferences and external effect on the trip. As an Data Analyst we're provide actual data who has affect on travel frequency.
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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
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https://github.com/dulajkavinda/handwritten-recognition
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https://github.com/ashkan-khd/recommender-systems
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https://github.com/sudip-13/plant-disease-detection
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https://github.com/RedInfinityPro/DrawImages
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https://github.com/subhas-pramanik-09/mediscan-ai
A smart and scalable ML-powered health prediction system that can help detect the risk of three major diseases: Diabetes + Heart Disease + Parkinsons Disease
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https://github.com/andremenezesds/pa004_health_insurance
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Last synced: 09 Apr 2026
https://github.com/sebastianofazzino/ibm-data-science-professional-certificate
In this repository I've stored exercises and projects I've been working on while attending IBM Data Science Professional Certificate, using Python and its libraries.
data-analysis data-mining data-science data-structures data-visualization database machine-learning matplotlib numpy pandas python regression seaborn sql
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https://github.com/harmanveer-2546/diagnosis-of-pneumonia-by-cnn-classifier
The primary objective s to develop an accurate and efficient classification model capable of identifying pneumonia cases in patients based on chest X-ray images. Pneumonia is a prevalent and potentially life-threatening respiratory infection. Early detection plays a critical role in timely intervention and effective treatment.
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https://github.com/valmir-unicap/inteligencia-artificial
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