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: 2026-06-25 00:18:02 UTC
- JSON Representation
https://github.com/ikaushikpal/ml_prerequisite
In this repository, I'm just practicing the basics of data visualizing and data clearing, thanks for checking my repo
jupyter-notebook matplotlib numpy pandas python
Last synced: 28 Apr 2026
https://github.com/amir78729/numpy-system-solution-detector
Linear Algebra course - First Project
echelon-form linear-algebra matrix numpy
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https://github.com/soumya-kushwaha/data-science-and-ml
data-science matplotlib numpy pandas python-libraries seaborn
Last synced: 06 May 2026
https://github.com/torahappy/takasa
OpenStreetMap 高低差を考えた最短（？）経路問題ソルバー
numpy openstreetmap scipy shortest-path
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https://github.com/katerynazakharova/olive-separation
CV
cv2 image-classification numpy opencv python3
Last synced: 09 May 2026
https://github.com/itzzmeakhi/investigate-tmdb-dataset
Tmdb dataset is taken to perform analysis. Messy data is cleaned by performing many steps like dropping null values and rising values and analyzing correlation among them using visualization techniques using matplotlib and seaboarn to derive the answers that i imposed during the early stages of analysis.
csv matplotlib numpy pandas python3 seaborn
Last synced: 03 May 2026
https://github.com/laavanjan/lstm-rnn-next-word-prediction
An advanced LSTM RNN-based deep learning model designed for next-word prediction. This model processes sequential text data using deep learning techniques to generate accurate and context-aware word predictions in real-time
jupyter-notebook numpy pandas-dataframe rnn rnn-tensorflow streamlit-webapp tensorflow
Last synced: 09 May 2026
https://github.com/utkarsh-284/deep-learning
This repository contains the documents and main project file needed for building DNN from scratch using NumPy.
data-science deep-learning deep-neural-networks machine-learning mnist mnist-handwriting-recognition neural-networks numpy python3
Last synced: 03 May 2026
https://github.com/rudrakshi99/movie-recommendation-system
Movie recommendation system using machine learning and predict user ratings for the movies.
dataframes machine-learning matplotlib numpy pandas seaborn
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https://github.com/molodchina/msu-ml-prac
MSU-CMC-SP Machine Learning practicum
clustering decision-trees encodings ensemble gradient-boosting knn machine-learning matplotlib numpy pandas plotly seaborn svm
Last synced: 10 May 2026
https://github.com/zazi2002/neuroscience-reinforcement-learning
Neuroscience of Learning, Memory, Cognition project, containing a Jupyter notebook implementing a reinforcement learning approach for a neuroscience-related task.
deep-learning matplotlib numpy pytorch reinforcement-learning
Last synced: 30 Apr 2026
https://github.com/abhishek010397/logisticregression
Using Logistic Regression Classifier to Predict Target Using Three Features
csv iloc logistic-regression machine-learning numpy pandas-dataframe python3 sigmoid-function sklearn
Last synced: 06 May 2026
https://github.com/sreejabethu/cost-of-living-index-globally
This Streamlit app is a data visualization tool that allows users to explore and compare the cost of living indices across different countries. The app takes in a dataset of cost of living indices for various countries and provides an interactive interface for users to select specific indices and countries to visualize.
bargraphs costofliving costoflivingindex csv datavisualization index matplotlib-pyplot numpy pandas-dataframe plotly python seaborn streamlit-webapp
Last synced: 19 Apr 2026
https://github.com/musfiquejim/enacp-a-hybrid-machine-learning-framework-for-detecting-anticancer-peptides
EnACP: একটি Ensemble Learning মডেল যা অ্যান্টিক্যান্সার পেপটাইড সনাক্তকরণের জন্য ব্যবহৃত হয়।
adamoptimizer ai cnn-classification data-visualization deep-learning densenet inceptionv3 machine-learning matplotlib-pyplot numpy pandas randomforestclassifier randomforestregressor restnet sklearn u-net-pytorch vgg16 vgg19
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https://github.com/nmsby/pca-machine-learning-lab
Principal Component Analysis (PCA) implementation and analysis lab for Machine Learning. Features manual PCA implementation, scikit-learn applications, data compression, and feature extraction with detailed visualizations.
data-analysis dimensionality-reduction jupyter-notebook machine-learning numpy pca python scikit-learn visualization
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https://github.com/chr5tphr/funcache
Minimally cache python function outputs on disk!
cache disk functions hash memoization metrohash numpy python pytorch
Last synced: 21 Apr 2026
https://github.com/hpennington/mono-visual-odometry
Monocular Visual Odometry in NumPy
computer-vision numpy opencv python
Last synced: 28 Apr 2026
https://github.com/rkarahul/data_science_project_2023
machine-learning matplotlib numpy pandas python sckit-learn seborn
Last synced: 20 Apr 2026
https://github.com/khaymanii/big_mart_prediction_model
This model was built using Python and Logistic Regression Algorithm
matplotlib numpy pandas python scikit-learn seaborn
Last synced: 01 May 2026
https://github.com/akashash01/akash_linear-regression
This is an linear approach machine learning model used to predict the values of variable(dependent) based on other variables(independent).
anova-test autocorrelation data-science heteroscedasticity linear-regression machine-learning mape multicollinearity numpy pandas python supervised-learning
Last synced: 07 May 2026
https://github.com/hernandemonteiro/host_national_search_2015
Análise Estatística da Pesquisa Nacional por Amostra de Domicílios
colab-notebook matplotlib numpy pandas pnad python3 pythonnotebook seaborn
Last synced: 29 Apr 2026
https://github.com/simran2911/flight-price-pridiction
This github repositiory contains the Flight Price Prediction project aims to develop a machine learning model to predict flight ticket prices based on various factors such as departure and arrival locations, dates, airlines, and other relevant features.
accuracy-score catboostregressor machine-learning matplotlib numpy pandas r2-score random-forest-regression seaborn xgboost-regression
Last synced: 21 Apr 2026
https://github.com/joshi-jyoti/heart-disease-prediction
This repository contains a Python-based project for predicting the likelihood of heart disease using a Logistic Regression machine learning model. It leverages a dataset of patient medical information to train and evaluate the model, providing insights into potential diagnoses.🩺
heart-disease-prediction heart-disease-predictor kaggle-dataset machine-learning numpy pandas python scikit-learn
Last synced: 01 May 2026
https://github.com/mahiponii/hyperion_sort
lz4 numba numpy pandas-python python python3 scipy sorting-algorithms tensorflow
Last synced: 28 Apr 2026
https://github.com/yash22222/sync-intern-s-ml-tasks
SYNC INTERN'S Machine Learning internship will offer you to enhance your skills by doing real-life example projects. This internship will increase your knowledge in the field of data and algorithms to understand how a machine learns.
bhpp boston-house-datasets boston-house-price-prediction boston-house-pricing data data-structures machine-learning machine-learning-algorithms numpy pandas sync-intern sync-interns
Last synced: 07 May 2026
https://github.com/hansalemaos/numpycythonpermutations
Permutations, Combinations and Product for Numpy - written in Cython - 20x faster than itertools
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Last synced: 08 May 2026
https://github.com/henriqueotogami/curso-de-python3-udemy
Documentos do curso de Python 3, com arquivos das aulas, e Jupyter Notebook. Conceitos de Machine Learning.
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https://github.com/ralstonraphael/water_access_ml_project
This project analyzes life expectancy data from the World Health Organization (WHO), sourced from Kaggle. The dataset spans 183 countries across 6 regions, covering metrics such as life expectancy, mortality rates, healthcare access, and socioeconomic factors.
data-science machine-learning numpy pandas python
Last synced: 29 Apr 2026
https://github.com/nikorasu/cellularautomata
Nik's Cellular Automata Projects
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https://github.com/sentustudio/cookiecutter-ciencia-datos
Template para proyectos de ciencia de datos e ingeniería de datos
ai cookiecutter cookiecutter-data-science cookiecutter-template data-science jupyter-notebook machine-learning numpy pandas pyspark
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https://github.com/nikhilroxtomar/fully-connected-neural-network-in-numpy
This is an efficient implementation of a fully connected neural network in NumPy.
dnn neural-network numpy python3
Last synced: 22 Apr 2026
https://github.com/mauriciovazquezm/machinelearning_course_spring2023
Machine Learning course tasks focused on the implementation of the ML algorithms using libraries such as Numpy, Pandas, etc.
machine-learning machine-learning-algorithms numpy python r-language
Last synced: 05 May 2026
https://github.com/nekruzash/machine-learning-decision-trees
This is from CS2023 - AI/DS/ML class, trained a machine learning model with heart disease data sets to predict a correlation using numpy and pandas.
jupyter-notebook numpy pandas python
Last synced: 02 May 2026
https://github.com/mohamedawnallah/covid19-dataanalysis-python
how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis. In this project, we are going to work with the COVID19 dataset, published by John Hopkins University, which consists of the data related to the cumulative number of confirmed cases, per day, in each Country. Also, we have another dataset consist of various life factors, scored by the people living in each country around the globe. We are going to merge these two datasets to see if there is any relationship between the spread of the virus in a country and how happy people are, living in that country.
covid19 dataanalysis datavisualization happiness-report jupyternotebook numpy pandas python
Last synced: 08 May 2026
https://github.com/rajharit77/weather-project
Repository for exam on the openweathermap api's project
apache-airflow dataframe jupyter-notebook looker-studio matplotlib numpy openweathermap-api pandas python
Last synced: 02 May 2026
https://github.com/prashver/titanic-survival-prediction
This project tackles the Titanic challenge on Kaggle, predicting passenger survival based on variables like age, sex, and passenger class. The Jupyter notebook covers essential steps of a data science pipeline, including exploratory data analysis, data cleaning, feature engineering, and modeling. The dataset used is the Titanic dataset.
classification-algorithm machine-learning-algorithms matplotlib numpy pandas scikit-learn seaborn
Last synced: 02 May 2026
https://github.com/toby-sanders-101/mydigits
Everything needed to create a AI bot that can read images
deep-neural-networks image-classification matplotlib numpy opencv pyautogui python
Last synced: 08 May 2026
https://github.com/ahasannn/multilevel_textual_emotion_classifier
Emotion detection from social media texts using machine learning algorithms.
anaconda jupyter machine-learning matplotlib nltk numpy pandas pip python scikit-multilearn scikitlearn
Last synced: 05 May 2026
https://github.com/subh888999/-online-food-ordering-behavior-analysis-projects
This project analyzes online food ordering behavior to uncover key insights on customer preferences, restaurant performance, and factors influencing order volume. Through data-driven analysis, it aims to help optimize pricing, delivery times, and customer experience for food delivery platforms and restaurants.
matplotlib numpy pandas python seaborn statistics
Last synced: 05 May 2026
https://github.com/13anush/python-libraries-
A collection of essential Python libraries—NumPy, Pandas, Matplotlib, and Seaborn—perfect for anyone starting out in data analysis.
data-analysis matplotlib numpy pandas python seaborn
Last synced: 05 May 2026
https://github.com/hitthecodelabs/petalanalyticsstreamlit
Web application developed with Streamlit that predicts the Iris flower type based on its physical features
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Last synced: 05 May 2026
https://github.com/lohiyah/dataset_summariser
A Python tool for generating concise summaries of datasets using Pandas and NumPy for analysis, and Matplotlib and Seaborn for insightful visualizations. Ideal for quick exploratory data analysis (EDA).
matplotlib numpy pandas seaborn
Last synced: 05 May 2026
https://github.com/tapas-gope/diwali-sales-analysis
Analyze Diwali Sales Data to improve customer experience and sales.
exploratory-data-analysis matplotlib-pyplot numpy pandas python seaborn
Last synced: 05 May 2026
https://github.com/bearddan2000/python-web-3d-matplotlib-scatter-graph
A demo of creating a 3d scatter graph.
3d graph matplotlib numpy pandas python scatter web
Last synced: 05 May 2026
https://github.com/batrick-swaistan/nalaiya_thiran
Nalaiya Thiran IBM Course Training
matplotlib numpy pandas-dataframe python
Last synced: 05 May 2026
https://github.com/fayzi-dev/salary_predict_app_by_streamlit
Salary predict App by Streamlit
numpy pandas pypickle streamlit streamlit-webapp
Last synced: 05 May 2026
https://github.com/pramodyasahan/cifar-10-object-recognition
This repository contains a TensorFlow-based image classification model designed to classify images from the CIFAR-10 dataset. The CIFAR-10 dataset comprises 60,000 32x32 color images in 10 classes, with 6,000 images per class.
convolutional-neural-networks numpy python tensorflow
Last synced: 05 May 2026
https://github.com/muthupillai1204/diwali_sales_analysis
The Diwali sales analysis reviews past data to identify trends, peak buying times, popular products, and customer demographics. It assesses sales volume, revenue growth, and promotional effectiveness, helping businesses optimize marketing and inventory for future seasons.
data datacleaning eda excel jupyter-notebook matlplotlib numpy pandas python seaborn visualization
Last synced: 05 May 2026
https://github.com/sahaninilesh/future_ds_01_social-media-sentiments-analysis
The Social Media Sentiments Analysis Dataset captures a vibrant tapestry of emotions, trends, and interactions across various social media platforms. This dataset provides a snapshot of user-generated content, encompassing text, timestamps, hashtags, countries, likes, and retweets. Each entry unveils unique stories—moments of surprise, excitement,
jupyter matplotlib numpy pandas python
Last synced: 05 May 2026
https://github.com/kalwalt/pybind-test
A simple example with pybind and numpy with C++ code
cplusplus numpy pybind11 python
Last synced: 05 May 2026
https://github.com/romanectatyana/fuel_norm
Practical data analytics case: calculating and optimizing fuel consumption norms for vehicles and heavy equipment. (Аналітичний проєкт із визначення норм витрат палива для автотранспорту та спецтехніки.)
matplotlib numpy pandas plotly power-bi
Last synced: 06 May 2026
https://github.com/leavers/npblob
Transfer numpy array between Python and JavaScript losslessly
array javascript matrix numpy python streaming typescript
Last synced: 06 May 2026
https://github.com/abdelrahman-amen/active_learning_with_different_query_strategies
This project explores the implementation of active learning techniques, focusing on various query strategies to optimize the selection of informative data points for model training. It aims to reduce the amount of labeled data required while improving model performance, especially in scenarios with limited labeled data.
activelearning cuda entropy kldivergence margin numpy python pyto uncertainty
Last synced: 06 May 2026
https://github.com/toxe/python-plotting
Python Plotting
matplotlib numpy pandas plotting python
Last synced: 06 May 2026
https://github.com/yashpaneliya/bank-loan-default-analysis
Analyze and understand the driving factors (or driver variables) behind loan default, i.e. the variables which are strong indicators of default.
data-analysis loan-default-analysis matplotlib numpy pandas python
Last synced: 06 May 2026
https://github.com/rashidul738/data-analysis-with-statistics-and-python
Data Analysis with Statistics and Python
jupiter-notebook lambda numpy pandas-python python scipy statistics
Last synced: 06 May 2026
https://github.com/khursheedahmedd/machine-learning
machine-learning numerical-methods numpy pandas pandas-dataframe
Last synced: 06 May 2026
https://github.com/kunalpisolkar24/gradientdescent
A Python implementation of gradient descent for linear regression, visualized with cost function history, parameter trajectory, and a 3D cost surface.
cost-function gradient-descent numpy visualization
Last synced: 06 May 2026
https://github.com/coder5omkar/lendingclubcasestudy
Performed exploratory data analysis (EDA) on the loan dataset from the Lending Club Case Study to identify the key factors influencing loan defaults.
bivariate-analysis data-science exploratory-data-analysis matplotlib numpy pandas seaborn univariate-analysis
Last synced: 06 May 2026
https://github.com/deanlogan/data-analysis-course
Code created when completing the Data Analysis with Python Course on freecodecamp.org
course data-analysis numpy pandas python python3
Last synced: 06 May 2026
https://github.com/christiansassi/signal-image-and-video-project
Project developed by Pietro Bologna (@bolognapietro) and Christian Sassi for the Signal, Image and Video course.
image-processing mri-segmentation numpy opencv python
Last synced: 06 May 2026
https://github.com/xanonymous-github/multimediax
The collections of class projects in Multimedia Technologies and Applications class, NTUT.
deep-learning machine-learning numpy opencv-python
Last synced: 06 May 2026
https://github.com/timeless-residents/handson-tensorflow-numpy
A practical guide to learning and using TensorFlow and NumPy for data manipulation and machine learning
data-science machine-learning numpy tensorflow tutorial
Last synced: 06 May 2026
https://github.com/vandanac20/advanced-real-estate-valuation-with-ensemble-regression-models
Advanced Real Estate Valuation with Ensemble Regression Models
machine-learning numpy pandas python sklearn
Last synced: 06 May 2026
https://github.com/jayanthpotluri5513/heart-disease-prediction-using-ml
This project aims to develop a machine learning model for heart disease prediction, leveraging the potential of advanced algorithms and a comprehensive dataset.
machine-learning matplotlib numpy pandas python
Last synced: 06 May 2026
https://github.com/jcbritobr/iris-python
Simple data analysis using iris dataset, pandas, numpy, matplotlib and seaborn.
data-science matplotlib numpy pandas python seaborn
Last synced: 06 May 2026
https://github.com/shimu-i/pythonmastery
Diving into Python essentials, libraries, and tricks to become an AI & ML pro. Coding, learning, and having fun while building the future!
Last synced: 07 May 2026
https://github.com/siddhantprateek/machine-learning-resources
Machine Learning Resources
best-practices clustering-algorithm data-analysis deep-learning in-progress journey linear-regression machine-learning machine-learning-algorithms neural-language-modelling neural-language-processing neural-network numpy python3 read reinforcement-learning-algorithms tensorflow visualisation
Last synced: 07 May 2026
https://github.com/dakshdeephere/bank_eda-practice
EDA analysis of Bank.csv dataset
analysis data data-visualization dataanalysis matplotlib numpy pandas python3 seaborn
Last synced: 07 May 2026
https://github.com/jonad/titanic_survival
Basic decision tree model for Titanic dataset. Predict who will survive.
jupyter-notebook matplotlib numpy pandas python3 titanic-survival-prediction
Last synced: 07 May 2026
https://github.com/dulajkavinda/breast-cancer-detect
🧬 breast cancer classification using machine learning
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Last synced: 07 May 2026
https://github.com/aicorsair/python-case-study-ab-testing-for-lunartech-homepage-cta-button
This repository contains a detailed case study on an A/B test of LunarTech's homepage CTA button, using proxy data structured similarly to the company's real data.
ab-testing click-through-rate confidence-intervals data-analysis data-analytics data-exploration data-science data-visualization hypothesis-testing matplotlib normal-distribution numpy pandas practical-significance python statistical-analysis statistical-significance z-critical z-statistic z-test
Last synced: 07 May 2026
https://github.com/ai-ahmed/bda-and-ds
Dual Course: EMC2 Data Scientist & Big Data Analytics & IBM Professional Data Science Course
analytics big-data data-science jupyter-notebook jupyterlab linear-algebra mathematics matplotlib ml numpy pandas probability seaborn sklearn statistics
Last synced: 07 May 2026
https://github.com/matteopolak/chatterbox
RNN-based chat message generator.
numpy pandas python rnn tensorflow text-generation
Last synced: 07 May 2026
https://github.com/ayushmankumar7/siamese-network-with-one-shot-learning
Implementation of this paper - https://www.cs.cmu.edu/~rsalakhu/papers/oneshot1.pdf
Last synced: 07 May 2026
https://github.com/mgitrov/kulo-chatbot
A retrieval based chatbot aiming to simulate human-like conversation with the user via text messages on chat.
artificial-neural-networks bag-of-words deep-learning json keras lemmatization natural-language-processing nltk numpy tkinter tokenization
Last synced: 07 May 2026
https://github.com/alekiie/streamlit-dashboard
A dashboard that utilizes the power of streamlit charts to create intuitive and easy to understand charts for data visualization.
data-visualization matplotlib numpy pandas python3 streamlit
Last synced: 07 May 2026
https://github.com/mnitin-reddy/coffee-shop-sales-analytics
This project analyzes coffee shop sales data to uncover key insights, focusing on customer behavior, product performance, and sales trends. Using Pandas, Matplotlib, and Seaborn, the analysis identifies peak sales hours, popular product categories, and opportunities for upselling or bundling.
datasceince datavisualization exploratory-data-analysis matplotlib numpy pandas python seaborn
Last synced: 07 May 2026
https://github.com/hackintoshrao/first-neural-network
Simple Neural Network with a hidden layer written from scratch using Numpy for prediction the bike sharing sales
deep-learning neural-networks numpy python
Last synced: 07 May 2026
https://github.com/pocketfullofdata/electric-vehicles-market-size-analysis
This project analyzes the growth, adoption trends, and future projections of the electric vehicle (EV) market. Using data analysis and visualization techniques, it examines key factors like sales trends, and consumer adoption to understand the evolving landscape of the EV industry.
analysis data jupyter-notebook matplotlib numpy python seaborn vscode
Last synced: 07 May 2026
https://github.com/pereira-elizabeth/aah-2d-hermitian
Minimal 2D AAH model: build, diagonalize, and plot spectrum (NumPy/Matplotlib)
condensed-matter numpy physics scipy tight-binding
Last synced: 07 May 2026
https://github.com/jnayak1/naive_bayes_cars
Using Naive Bayes and SGD ML algorithms to predict if a new car will decrease in price
cars machine-learning naive-bayes numpy sklearn
Last synced: 07 May 2026
https://github.com/prajakta1321/exoplanet-atmospheric-characterization-1
A machine learning project to classify exoplanets using light curve image data. Developed as part of the ML4SCI GSoC 2025 Test Task. Includes data processing, CNN-based model, and full report.
classification colab-notebook dbscan gsoc-2025 machine-learning-algorithms matplotlib-python ml numpy open-source pca-analysis python3 seaborn
Last synced: 07 May 2026
https://github.com/isabelacaldeira/plongee
Here is a program that we made using Python and Jupyter Notebook used to solve a physic problem about diving
jupyter-notebook matplotlib numpy physics python university university-project
Last synced: 08 May 2026
https://github.com/r-mahesh45/reccomendation-system
This project involves building a recommender system using cosine similarity to measure the similarity between items or users. It leverages numerical data to provide personalized recommendations. The model focuses on extracting meaningful insights and improving decision-making processes.
numpy pandas-dataframe python3 scikitlearn-machine-learning
Last synced: 07 May 2026
https://github.com/manishkr1754/loan_eligibility_prediction_python
Predict Loan Eligibility for a Finance company
bivariate-analysis data-visualization decision-trees evaluation-metrics exploratory-data-analysis feature-engineering hypothesis-generation logistic-regression matplotlib model-building numpy pandas random-forest seaborn sklearn univariate-analysis xgboost
Last synced: 08 May 2026
https://github.com/kostadinlambov/the-galois-field-in-cryptography
This project is about Galois fields, what properties they have and how they can be used in cryptography.
aes-encryption asymmetric-cryptography encryption-decryption extension-fields finite-fields galois-fields numpy prime-fields python symmetric-cryptography
Last synced: 08 May 2026
https://github.com/khushi130404/k_means
This repository showcases 2D, 3D, and custom K-Means clustering models with visualizations. It includes both Jupyter notebooks and Python scripts for ease of reproducibility.
clustering-algorithm k-means-clustering numpy plotly sklearn
Last synced: 08 May 2026
https://github.com/mttgdd/openfabmap-python3
Pybind11 and numpy array bindings to openFABMAP
cpp numpy openfabmap pybind11 python robotics vision
Last synced: 08 May 2026
