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: 2026-06-24 00:18:03 UTC
- JSON Representation
https://github.com/otivedani/hedge_hog
Histogram of Oriented Gradients, full numpy
feature-extraction histogram-of-oriented-gradients hog-features numpy
Last synced: 13 Apr 2026
https://github.com/mgobeaalcoba/survival_predictor_on_the_titanic_scikit_learn
Titanic Survival Predictor using Scikit-Learn: Machine learning model and analysis to predict passenger survival on the Titanic based on historical data.
matplotlib numpy pandas python3 scikit-learn seaborn titanic-dataset titanic-kaggle titanic-survival-prediction
Last synced: 10 Apr 2026
https://github.com/lakhidaksh-01/carinsightanalyzer
Interactive Car Ratings & Insights
cars matplotlib numpy pandas python seaborn streamlit
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https://github.com/hansalemaos/numpycythonpermutations
Permutations, Combinations and Product for Numpy - written in Cython - 20x faster than itertools
c combinations cython fast itertools numpy permutations product python
Last synced: 08 May 2026
https://github.com/udityamerit/curafind-powered-by-ai
CuraFind AI is a web-based application leveraging Natural Language Processing (NLP) to intelligently recommend medicines. Users can search using symptoms, medicine names, or free-text descriptions, and receive suggestions along with brand substitutes for drugs
ai machine-learning nlp numpy pandas scikit-learn
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https://github.com/lolosoares/dataanalises
This repository shows my projects made in my journey learning about data analises, ciency, engeniering and ML.
acces data-science dax excel mysql numpy pandas powerbi powerquery python r seaborn sql vba
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https://github.com/aminkhavari78/geoai-challenge-estimating-soil-parameters-from-hyperspectral-images-
Can you predict soil parameters from hyperspectral earth observation data?
dee keras matplotlib neural-network numpy pandas seaborn
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https://github.com/ngoyal16/python-stick-fight-shadow-warrior
ai numpy opencv python stick-fight-shadow-warrior
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https://github.com/jesussantana/ibm-python-for-data-science-py0101en
This introduction to Python will kickstart your learning of Python for data science, as well as programming in general.
data-science numpy pandas python
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https://github.com/aroojzahra908/artifical-intelligence-and-machine-learning-
Explore the basics of linear regression, gradient descent, and AI using Python. Get hands-on with NumPy, pandas, Matplotlib, and scikit-learn for practical learning.
artificial-intelligence gradient-descent linear-regression machine-learning matplotlib numpy pandas scikit-learn-python
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https://github.com/khaledkamr/mastring-python
This repository covers essential Python programming topics, including basics, OOP, file handling, and database operations. It also contains mini-projects to help solidify your understanding through practical application.
database filehandling functions if-elif-else introduction-to-python list-methods loops numpy oops-in-python python recursion set-methods sqlite3 string-methods tuple-methods
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https://github.com/ki-seki/set_determ
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https://github.com/akashash01/logistic-regresion
This is an contrast of linear regression model, used to examine the association between the independent variable(category or contineous) with dependent variable(binary), which is an discrete outcome.
auc-roc-curve classification confusion-matrix data-science kolmogorov-smirnov machine-learning nonlinear-regression numpy pandas python supervised-learning vif woe-and-iv
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https://github.com/tasninanika/heart-disease-analysis
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To analyze state & city housing trends and affordability using data analytics.”
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Solutions to the problem sets of Introduction to Computer Vision course at Udacity
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Blink Detector Sensitive to Facial Orientation
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https://github.com/haloapping/sharing-tipis-tipis
#sharingtipistipis 📗 catatan ketika belajar machine learning, deep learning dan masih banyak lagi.
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https://github.com/paulo-santos-ds/analise_corrida_taxi
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Air Pollution Detection using Machine Learning
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https://github.com/ab23ms233/matrix-calculator
A Python-based matrix calculator for performing operations like addition, multiplication, inverse, determinant, eigenvalues, diagonalization, and matrix functions using NumPy, SymPy, and SciPy.
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Programming for Data Analysis from Open Data Sources
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🤖Disciplina de RNA: treinamento de um neurônio Perceptron.
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FuncPlot is a user-friendly app built with Kivy and KivyMD that allows you to easily plot and visualize mathematical functions on your desktop or mobile device. With its intuitive interface and support for multiple functions, FuncPlot makes it easy to explore and understand complex mathematical concepts.
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https://github.com/sivatsk26/university-admit-eligibility-predictor
This project is created using Machine Learning and Regression methods- a statistical technique to predict the outcome of event which is to verify the users’ admission eligibility level, considering the universities they have chosen. This is achieved based on the algorithms implemented, when is user feed the application with the required information
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answer some questions about the data
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MNIST Digit Classification: Comparative Analysis of Optimization Algorithms
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https://github.com/hadjuse/spotify-recommendation-knn
Here is a personal project where i use KNN project to classify songs
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https://github.com/helenaden/data-science-fundamentals
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https://github.com/isinghabhishek/data_analysis_with_python
Introduction to Data Analysis covering the basics of Python, Numpy, Pandas, Data Visualization, and Exploratory Data Analysis.
data-visualization exploratory-data-analysis numpy pandas python
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https://github.com/chethannazre/railway-track-obstacle-detection-system
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https://github.com/fandredev/ml-my-guide
my own annotations about ML/DS using pandas, matplotlib, numpy, scikit learn
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Cardiovascular Disease Prediction using machine learning and Python
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https://github.com/jsnevt/decisiontreecls
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https://github.com/akhil-krishnan-r/super_market_analysis
The growth of supermarkets in most populated cities are increasing and market competitions are also high. This dataset is one of the historical sales of supermarket company which has recorded in 3 different branches for 3 months data. Predictive data analytics methods are easy to apply with this dataset
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https://github.com/kaustavmodak/business-aided-customer-feedback-assessment-system
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framework machine-learning matplotlib nlp nltk numpy pandas pickle regex scikit-learn seaborn sentiment-analysis streamlt tfidf-vectorizer
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https://github.com/jonad/finding_donors
Predicting income with UCI Census Income Dataset using supervised machine learning algorithms
numpy pandas scikit-learn scikitlearn-machine-learning
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https://github.com/manikantasanjay/youtube_exploratory_data_analytics
This is a Mini Project made using Python Libraries like Numpy, Pandas, Matplotlib etc to perform Data Analytics on US Video and Comments dataset.
jupyter-notebook matplotlib numpy pandas plotly python seaborn wordcloud
Last synced: 03 May 2026
https://github.com/lmizner/codecademy_product_defects
Practicing rules of probability, set theory, and distributions
cdf jupyter-notebook numpy pmf ppf python rvs scipy-stats
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https://github.com/sreelekhakummetha/diabetes-prediction
"Flask web app for diabetes prediction using ML"
css dataset flask html joblib machine-learning numpy pandas scikitlearn-machine-learning
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https://github.com/naritanara/tf-test
Mostres de ML i IA amb TensorFlow basades en els tutorials oficials per al PR
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https://github.com/joao-inacio/numpy-essencial-para-desenvolvedores-python
O curso foi elaborado para desenvolvedores Python que desejam explorar os recursos poderosos da biblioteca NumPy. Através de aulas práticas, eu vou adquirir as habilidades necessárias para trabalhar com arrays multidimensionais, realizar cálculos científicos complexos e manipular dados com eficiência.
array array-manipulations array-methods jupyter-notebook numpy python python3
Last synced: 03 May 2026
https://github.com/sohamrider786/house_price_predictor
A machine learning project to predict house prices based on various property features using advanced regression techniques. This project demonstrates end-to-end model development, including data preprocessing, feature engineering, model training, evaluation, and visualization.
machine-learning matplotlib-pyplot numpy pandas random-forest-regression sklearn-library
Last synced: 04 May 2026
https://github.com/anas436/ibm-cloud-data-analysis-of-cars
Exploratory Data Analysis of Cars in Python
ibmwatson matplotlib numpy pandas python3 seaborn
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https://github.com/gnikit/fileio
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Some of tasks from neurocomputing course
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A program that calculates the median statistic. Program written in Python 3.13.1 with NumPy library during Machine Learning course.
mathematics numpy python python3
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https://github.com/abhijais4896/belarus-car-price-prediction
Belarus-car-price-prediction
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used cars dataset analysis and visualization
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As a newly hired AI Engineer, your task is to predict customer behavior based on various features such as age, income, and gender. This exercise involves cleaning the data, training a decision tree model, and evaluating the model's performance to understand the key factors influencing customer purchasing decisions.
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https://github.com/alphan26/optimal-logistics-locator
This is a project in which we estimate the biomass avaibility of places due to their index and determine the optimal preprocessing depot and biorafinery in Gujarat, India
numpy pandas python sckit-learn
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https://github.com/kaungkhantkyaw1997/face_recognition
A Computer Vision tool designed to identify and recognize characters in images.
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https://github.com/navindafernando/face-recognition
Training a SVM Pipeline for Face Recognition :anger:
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https://github.com/bhaskarkulshrestha/rock-vs-mine-prediction
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A comprehensive data analysis project for COVID-19 pandemic data, featuring automated data collection, feature engineering, visualization tools, and exploratory analysis notebooks.
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Practice repository for NumPy & Pandas with scripts, notebooks, and notes for future revision
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A simulation using multiprocessing to generate 10,000 time dependent samples from an initial dataset of 20 samples
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https://github.com/zafir100100/cancer-stage-prediction
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https://github.com/rayan-alam-uoit/space-x-launch-prediction-tool
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https://github.com/himanshigautam-rgb/python_libraries
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https://github.com/zuhairzia/customer-segmentation
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