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/manu-karenite/medical-insurance-cost-predictor
Medical Insurance Cost Generator is a Linear Regression based Predictor which is used to estimate and predict the Cost a person has to pay while Buying a Medical Insurance.
kaggle-dataset linear-regression machine-learning matplotlib numpy pandas python3 reactjs scikit-learn
Last synced: 15 Apr 2026
https://github.com/breadrock1/ml-labs
Machine Learning. There is a suite of Machine Learning laboratory tasks.
classification knn knn-classification machine-learning nlp nlp-machine-learning numpy pandas pandas-dataframe python python3 random-forest regression scikit-learn-python skele trees
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https://github.com/oleksiilatypov/mlzoomcamp-capstone01
mlzoomcamp capstone project
cnn-classification flask numpy tensorflow
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https://github.com/bearddan2000/python-web-3d-matplotlib-line-parametric-curve-graph
A demo of creating a 3d line parametric curve graph.
3d curve graph line matplotlib numpy pandas parametric python web
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https://github.com/nmerka/practicum_rep
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jupyter-notebook matplotlib numpy pandas plotly python scipy seaborn sql tableau
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https://github.com/farha-dahman/investigate_dataset
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data-analyst jupyter-notebook matplotlib numpy pandas python
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https://github.com/codehub001/age-and-gender-detection
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argparse deep-learning numpy opencv pretrained-model python
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https://github.com/dmitruzik/python_projects
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https://github.com/samiyaalizaidi/nn-ml-homeworks
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machine-learning machine-learning-workflow neural-networks numpy scikit-learn
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base64 beautifulsoup class exception-handling hashlib json jwt-authentication loops matplotlib nltk numpy pandas python2 python27 python3 requests searching time-complexity urllib urllib2
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https://github.com/mariam-zaidi/bike-sharing-prediction-model
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Scrape & store product prices with Selenium & BeautifulSoup4. Visually represent data with MatPlotLib,Personal Project
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This repository is designed to help you master NumPy, the fundamental package for scientific computing with Python. Whether you are just getting started or looking to refine your skills with advanced techniques, this repo covers a comprehensive range of topics and functionalities. It covers the range of topics from beginner to advance.
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data-analysis matplotlib numpy pandas python streamlit
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The goal of this project is to build a predictive model to estimate the likelihood of a hospital readmission based on patient data. By identifying factors that contribute to readmissions, hospitals can optimize care and reduce costs associated with repeated visits.
boxplot confusion-matrix datamodeling exploratory-data-analysis heatmap histplot numpy pandas plotly python random-forest seaborn smote-sampling visualization
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numpy pandas python3 scipy-stats
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csv-files matplotlib numpy pandas plotly python sklearn-library
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mnist-classification neural-network numpy stochastic-gradient-descent
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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
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https://github.com/kavayk29/speech-recognition-using-tdnn-and-data-augmentation
Developed a speech recognition system using TDNN, preprocessing audio, extracting MFCC features, and training the model. Fine-tuning with augmented data (19,000 rows) improved accuracy from 9% to 80% training and 40% validation. Data augmentation proved crucial for enhancing model performance and generalization. Still working to increase the acc.
deep-learning keras-tensorflow numpy os pandas tdnn tensorflow
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https://github.com/mattia-hulathduwage/wine-quality-analyzer
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machine-learning matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/awaisfraaz/python-libraries
Here’s a repository description for a project where youA repository dedicated to exploring and experimenting with Python’s main libraries, featuring sample code, documentation, and practical examples for learning and reference.
matplotlib numpy pandas python seaborn
Last synced: 15 Feb 2026
https://github.com/shwetapardhi/assignment-2-set1-q1-basic-statistic-level-2
Plot the data, find the outliers and find out μ,σ,σ^2
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https://github.com/type0-1/salary-truth-predictor
A supervised machine learning regression model. Includes problem statement, approach to solution, code, images, dataset, and Jupyter Notebook for interactive analysis.
linear-regression machine-learning matplotlib-pyplot ml numpy pandas polynomial-regression projects scikitlearn-machine-learning support-vector-regression
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https://github.com/jessicahora/studies-on-linear-algebra
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linalg linear-algebra matplotlib-pyplot matrix numpy python scipy
Last synced: 01 Mar 2026
https://github.com/hafidaso/predicting-industrial-machine-downtime-level-3
This project aims to develop a predictive model using machine learning techniques to forecast machine failures based on historical operational data.
imbalanced-learning numpy pandas python scikit-learn seaborn xgboost
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https://github.com/tansudasli/tensorflow-sandbox
all about machine learning
apache-arrow keras machine-learning numpy pandas scikit-learn tensorflow2
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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/lorenzorottigni/ml-advertising
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ipynb logistic-regression machine-learning numpy pandas python scikit-learn seaborn
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https://github.com/eljandoubi/predict-customer-churn-with-clean-code
Clean Code Principles
autopep8 logging numpy pandas pylint pytest scikit-learn
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https://github.com/hygull/trypandas
A repository containing Python pandas and other data science related sources and other resources used to work with pandas, numpy, matplotlib etc.
matplotlib numpy pandas python3
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https://github.com/hibashajahan55/python-abc-company-analysis
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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.
arima-model dickey-fuller-test matplotlib numpy pandas python seaborn statistical-analysis time-series-analysis
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https://github.com/ashwin331133/liver_disease_detection
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data-visualization machine-learning numpy pandas python
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https://github.com/eljandoubi/breakout-strategy
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https://github.com/abhishekpsonawane07/loan-repayment-prediction-ml
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https://github.com/shriansh8619/eda_customer_behavior
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https://github.com/supershivam5/python_projects
💻 Python programming with Numpy, Pandas, Matplotlib.🌟 Love exploring new technologies. Check out my projects!
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https://github.com/priyanshul28/ml_eda_regression_energyconsumptionforecasting
An EDA and Machine Learning Time-Series Regression Forecasting exercise on the PMJE Energy Consumption dataset demonstrating time-series analysis and the use of Time-Series Split, XGBoost, etc. The model is optimized using hyperparameter tuning through GridSearchCV. A Rob Mulla guided exercise.
forcasting machine-learning numpy pandas scikit-learn time-series-analysis
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https://github.com/farzeennimran/or-and-and-gates-using-perceptron-learning
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https://github.com/beaprogrammer02345/amazon_webscraping_data
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https://github.com/lingumd/credit_risk_analysis
Machine learning models for predicting credit risk in LendingClub dataset.
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https://github.com/gautam-cs/data_science
In this project, I was trying to get most of the relevent information of the data using library like numpy, pandas. I have worked on data like aadhar data, Olympics data
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Last synced: 17 Apr 2026
https://github.com/syedzaheerabbas/risk-analytics-with-python
This project focuses on developing a basic understanding of risk analytics in banking and financial services and understand how data is used to minimize the risk of losing money while lending to customers.
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Last synced: 17 Apr 2026
