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: 2026-02-04 00:22:28 UTC
- JSON Representation
https://github.com/xiaohaoo/machine-learning-examples
机器学习使用不同框架的常见模型的例子
keras matplotlib numpy python pytorch sklearn tensorflow
Last synced: 11 Jun 2025
https://github.com/lefteris-souflas/economic-connectedness-analysis
Jupyter notebook, replicating studies on social capital from Nature journal, analyze economic connectedness, upward income mobility, and more. Python and relevant datasets are utilized to recreate figures and analyses.
analytics choropleth-map json jupyter-notebook matplotlib matplotlib-pyplot numpy pandas plotly-express python3 regplot scatterplot seaborn stata visualization
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https://github.com/filnow/tinygimp
project for image processing class
gimp numpy opencv pysimplegui python3
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https://github.com/istaekd/major2career
Major2Career is a simple practice project using a Kaggle dataset to see how someone's field of study might affect their chances of changing jobs.
data dataset jupyter-notebook matplotlib numpy pandas python
Last synced: 11 Apr 2025
https://github.com/dpbm/extract_frames
extract frames from videos
frames frames-extract linux numpy opencv pip pipenv py python python-opencv python3 simple-program study terminal tool video videos
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https://github.com/RedInfinityPro/Python-Finance
Rating: (8/10) The code performs a linear regression analysis on stock data using the yfinance library, importing necessary libraries, selecting stock symbols, downloading data, fitting a model, making predictions, and visualizing results.
datetime matplotlib numpy pandas random sklearn yfinance
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https://github.com/anas436/python
This is Python Programming Language. Here, the basic problems of Python language have been solved. If you can solve these problems then your basic skills will be developed in this language and you will be suitable for doing good projects.
jupyter-notebook jupyterlab numpy pandas pycharm python3 watson-studio
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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/hariprasath-v/advanced_cricket_tournament_simulation
Simulate cricket matches between two teams with this command-line program.
cricket cricketgame cricketsimulation ipython matplotlib numpy pandas python random seaborn
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https://github.com/ksharma67/anomaly-detection-on-temperature-device-failure
A typical anomaly detection task and performing KMeans, PCA, Gaussian distribution, and Isolation Forest.
eda ellipticenvelope feature-engineering gaussian-distribution isolation-forest kmeans-clustering numpy pca python sklearn
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atis-dataset intent-classification jupyter-notebook keras keras-neural-networks matplotlib numpy python regression-models tenserflow
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https://github.com/nickklos10/Compressive-Strenght-Prediction
This project predicts concrete compressive strength using a neural network regression model built with Keras.
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Repo consist numpy , matplotlib and pymongo aggression
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https://github.com/kavaivaleri/linear-regression
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Investigate a Dataset project - Udacity Data Analysis Professional Track. In this project, I used the Python libraries NumPy, Pandas and Matplotlib to analyze a dataset and communicate my findings about it.
csv data-analysis jupyter-notebook matplotlib numpy pandas python
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https://github.com/ediloaz/machine-learning-study-and-tests
Some codes for testing new features in Machine Learning while I'm studying and understand how to works it.
cv2 jupyter-notebook machine-learning numpy python pytorch tensorflow
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https://github.com/ebadshabbir/logistic_regression-binomial-
Logistic Regression on Social Network Ads Dataset This project applies Logistic Regression to predict whether a user will purchase a product based on their age and estimated salary, using the Social Network Ads dataset. The data is split into training and test sets, with feature scaling applied for normalization.
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https://github.com/nguyenanhtuan1912/datatable-image-to-text
Repository này là đồ án môn học Computer Vision
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https://github.com/ayan6943/employee-attrition-prediction-with-machine-learning
Employee Attrition Prediction with Machine Learning | Analyzing HR data to predict employee turnover using Random Forest. Includes EDA, feature engineering, model training, and evaluation. Achieved 90% accuracy.
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Detecting the fraudulent credit card transactions by training Decision Tree model using Scikit-learn and SnapML
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Basic and bare-bones functionality of NumPy just using pure Python.
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IDV-Mini Project
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A simple machine learning model built using scikit-learn library.
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https://github.com/l2nce/datamining-study
Introduction to data mining
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Apply Advbanced Python programming to data science problems
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https://github.com/sujalk777/signal_systems_lab
This repository contains the assignments for the Signal Systems Laboratory course offered at IIT Jammu Autumn 24
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https://github.com/amithjoseph777/gourmethaven-case-competition
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Build a machine learning model that predicts the Envision Racing drivers’ lap times.
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https://github.com/ansh-info/industrial-scale-penicillin-simulation
Optimizing industrial-scale penicillin production using machine learning and data analysis.
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https://github.com/sadegh-khedry/housing-prices-prediction-using-randomforest
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https://github.com/rakibhhridoy/appliedmachinelearninghousing-regression
Let's take the Housing dataset which contains information about different houses in Boston. This data was originally a part of UCI Machine Learning Repository and has been removed now. We can also access this data from the scikit-learn library. The objective is to predict the value of prices of the house using the given features.
deep-learning housing-market housing-prices machine-learning numpy pandas python real-estate regression scikit-learn
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Exploratory data analysis and feature engineering on Quora dataset.
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Notes and Code examples for Numerical Programming.
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analytics csv data-analysis data-science data-visualization dataset eda exploratory-data-analysis jupyter-notebook kaggle machine-learning matplotlib numpy pandas portfolio python seaborn statistics titanic visualization
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https://github.com/betiniakarandut/portfolio-project
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Last synced: 21 Dec 2025
https://github.com/lucasgleria/seamese-network-algorithm
Soon
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https://github.com/satyacoder29/crm-analytics
CRM Analytics Dashboard – An interactive dashboard using Tableau, SQL, and Salesforce CRM Analytics (CRMA) to analyze sales performance, customer segmentation, and churn prediction. Features automated ETL pipelines, predictive analytics, and real-time insights for data-driven decision-making. 🚀📊
advanced-excel data-analysis data-cleaning data-collection data-transformation data-visualization matplotlib numpy pandas powerbi python seaborn sql tableau
Last synced: 03 Mar 2025
https://github.com/ayuub34/siesta-smart
This project is designed to be a AIaaS 2-Way-PMS optimized with AI and ML models. The goal is to enhance the efficiency of the system through advanced technology solutions.
ai data-analysis-python data-processing data-science jupyter-python machine-learning matplotlib numpy pandas powerbi-report pyqt5 scipy seaborn sklearn
Last synced: 28 Oct 2025
https://github.com/dimasswag/lbw-detection-in-cricket
LBW Detection in Cricket: A Deep Dive with OpenCV & NumPy
ball-detection cricket cvzone data-science lbw machine-learning numpy opencv python
Last synced: 03 Mar 2025
https://github.com/prabath1998/rice_leaf_disease_ditection_system
This project is a Paddy Crop Disease Detection System that uses machine learning to identify diseases in paddy (rice) leaves. Farmers can upload an image of a paddy leaf, and the system will predict whether the leaf is healthy or affected by a specific disease
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https://github.com/amnydv17/landmark-detection
This project aims to leverage the power of deep learning models to automatically detect and pinpoint landmarks such as famous monuments, buildings, natural landmarks, and other recognizable structures within images.
machine-learning matplotlib numpy pandas python3 scikit-learn seaborn tensorflow
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https://github.com/jillmpla/pythonxmldatabase
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database matplotlib numpy pandas pandas-dataframe python xml
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https://github.com/danishzulfiqar/micro-service-predictive-maintenance
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aws-ec2 container deployment docker fastapi inference keras-tensorflow machine-learning microservice numpy nural-network pandas predictive-maintenance python shap tensorflow
Last synced: 03 Mar 2025
https://github.com/jain1shh/solar-flare-prediction
This repository contains code and data for predicting solar flare energy ranges using machine learning, based on NASA's RHESSI mission data. It includes preprocessing of FITS files into a unified CSV dataset and implements models like Gradient Boosting, Random Forest, and Decision Tree classifiers, achieving accuracies up to 87%.
data-visualization machine-learning numpy pandas python scikit-learn solar-flare-prediction
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https://github.com/matheusotenio/catdog_imageclassifier
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https://github.com/AsuquoAA/Big_4_Sports_Teams_and_City_Population_Analysis-2018-
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machine-learning natural-language-processing nltk numpy pandas python scikit-learn
Last synced: 30 Oct 2025
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Classifying whether an asteroid is hazardous or not.
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Last synced: 30 Dec 2025
https://github.com/pesala-x/data-science-ai-assessments
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A beginner-friendly repository to learn Python programming through structured examples and scripts, covering topics from basics to advanced concepts.
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https://github.com/vaishnavis03/finlatics_ml_program
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https://github.com/samalyarov/practicum_projects
Various data analysis projects displaying tools and instruments that I am proficient with
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https://github.com/sabdikay/telco-customer-churn-analysis-ibm-dataset
This project explores customer churn trends for a company in California using an IBM dataset. Built in a Jupyter Notebook, it employs pandas, NumPy, matplotlib, seaborn, plotly, and scipy to clean, analyze, and visualize data. Through statistical tests and interactive maps, it uncovers key drivers behind customer cancellations
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Last synced: 30 Dec 2025
https://github.com/h12m54am/numpy-matplotlib
Best for people who are using it for mathematical and statistical work. Not really a tutorial, but rather a bunch of examples that can help you understand Numpy and Matplotlib
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Last synced: 03 Jul 2025
