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/coder36459/fcc-projects
freeCodeCamp projects
bash bootstrap c-sharp css d3 data-analysis html javascript matplotlib numpy pandas postgresql programming python react seaborn sql topojson xml xslt
Last synced: 03 Apr 2026
https://github.com/jjwizardmp/a-start-search-python
Python project where the 'A Start Search' algorithm and a simulation of the agent's path with animations were implemented.
cv2 ipython iterto jupyter-lab jupyter-notebook mathplotlib numpy pip python python-env python3
Last synced: 04 Apr 2026
https://github.com/neetigyab/pdf_form_parser
Older Test version of designated PDFReader project
excel forms matplotlib numpy ocr opencv pandas pdf pdf-converter pdfplumber pytesseract python
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https://github.com/macnianios/retail_sales_analysis
final data science project on techpro academy data science stream
anova clustering colab-notebook data-analysis data-science data-science-projects linear-regression numpy pandas python
Last synced: 17 Apr 2026
https://github.com/noluyorabi/bravais-pearson-interactive
Bravais-Pearson Interactive – A web app for visualizing Pearson correlation. Generate datasets, analyze correlations, and explore regression lines, r², and p-values interactively.
data-visualization interactive-analysis matplotlib numpy pearson-correlation scipy seaborn statistics streamlit
Last synced: 17 Apr 2026
https://github.com/anag0es/projetos-ml
Este é um lugar onde guardo vários projetos para entender como funciona a aprendizagem de máquina. Cada projeto é uma forma de praticar o que estou aprendendo nos meus estudos.
artificial-intelligence crisp-dm data-science deep-learning learning machine-learning neural-network numpy pandas prediction-model python
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https://github.com/sadegh-khedry/comments-sentiment-analysis
text classification on comments using an ANN model.
collections deep-learning keras nlp numpy pandas python sentiment-analysis sklearn spacy unicodedata
Last synced: 04 Apr 2026
https://github.com/abhijeet107/superstore-sales-data
Many more to come stay tune
matplotlib numpy pandas python3 seaborn-python
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https://github.com/mariacarolinass/processamento-imagem
Processamento de Imagens com OpenCV
cv2 gradio gradio-interface huggingface matplotlib numpy opencv python
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https://github.com/datamallo/python101
The ressources you need to learn or get better in Python. Covering the basics of Python3, NumPy and Pandas for
Last synced: 18 Apr 2026
https://github.com/yuvrajsaraogi/sales-prediction-using-python
Sales prediction involves estimating future product sales based on factors like advertising spend, target audience, and platform. Businesses rely on data scientists to forecast sales and optimize advertising costs. Machine learning in Python can be used for this task.
data data-analysis data-science data-visualization machine-learning matplotlib natural-language-processing numpy pandas prediction python sales-prediction-using-python sql
Last synced: 19 Apr 2026
https://github.com/lexxai/goit_python_ds_hw_01
GoIT, Python Data Science, Homework number 1.
data-science google-colab jupyter-nootebook numpy numpy-arrays python
Last synced: 18 Apr 2026
https://github.com/nicovandenhooff/kaggle-competitions
A repository that contains my Kaggle projects.
data-analysis data-visualization deep-learning exploratory-data-analysis kaggle machine-learning matplotlib modeling neural-network numpy pandas seaborn sklearn
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https://github.com/yassin522/music-genre-classification
This repository is dedicated to the Music Genre Classification project, an endeavor that leverages machine learning techniques to accurately classify music into various genres
catboost matplotlib numpy pandas python sklearn
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https://github.com/jass024/bitcoin-historical-analysis
Performed comprehensive time-series analysis on 14+ years of Bitcoin historical data using Python (Pandas, NumPy, Plotly). Calculated key technical indicators (SMA, EMA, RSI, volatility) to identify market trends, potential anomalies, and areas of regulatory concern. Visualized results using interactive Plotly charts.
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https://github.com/andryadsm/predicting-house-prices
🏘️ Project Predicting House Prices (Python)
data-analysis data-preprocessing data-visualization feature-engineering house-prices machine-learning matplotlib numpy pandas python real-estate seaborn sklearn
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https://github.com/aaaastark/twitter_sentiment_analysis
Twitter Sentiment Analysis
csv database machine-learning matplotlib numpy pandas python python3 sentiment-analysis sklearn tensorflow text-classification twitter twitter-sentiment-analysis
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https://github.com/awanraskall/retail-demand-analysis
Data analysis of retail meal orders, fulfillment centers, and product demand using Python
data-analysis data-visualization jupyter-notebook numpy pandas python
Last synced: 18 Apr 2026
https://github.com/bvsam/nnfs
Basic neural network built using Python and Numpy. Created to better understand neural networks.
artificial-intelligence deep-learning machine-learning neural-network neural-networks numpy python3
Last synced: 18 Apr 2026
https://github.com/kasraskari/python-for-data-science
Foundational concepts and libraries for data science with Python.
data-science jupyter-notebook matplotlib numpy pandas python scipy
Last synced: 04 Apr 2026
https://github.com/gregoritsch3/ml_clustering_eda_customersegmentation
An EDA and Machine Learning Clustering exercise on the Mall Customer Segmentation synthetic dataset demonstrating the use of KMeans Clustering and the Elbow Method. The clustering algorithm successfully segments the customer base into groups distinguishable by their annual income and spending score.
clustering kmeans-clustering machine-learning matplotlib numpy pandas scikit-learn scipy seaborn
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https://github.com/abdul-rafay19/california-housing-price-prediction
This project predicts California housing prices using machine learning regression models, including Random Forests and Decision Trees. It covers data preprocessing, exploratory analysis, model training, and hyperparameter tuning to optimize performance.
decision-trees gridsearchcv linear-regression matplotlib numpy pandas python random-forest randomsearch-cv scikit-learn scipy seaborn
Last synced: 04 Apr 2026
https://github.com/yashsonaar/machine-learning-tasks
This repository has machine learning tasks which include classification, recommendation system, fraud detection system
classification jupyter-notebook machine-learning numpy pandas prediction python scikit-learn testing
Last synced: 04 Apr 2026
https://github.com/ccolpasm/pageviewanalyzer
PageViewAnalyzer analyzes and visualizes time series data of forum visits (2016-2019). It uses Pandas, Matplotlib, and Seaborn to create line plots, bar charts, and box plots, highlighting trends, monthly averages, and seasonality in page views. Perfect for data exploration with Python.
data-science matplotlib numpy pandas python
Last synced: 18 Apr 2026
https://github.com/yasinefeee/parkspotter_pretest_enviroment
The ParkSpotter project is designed to detect the occupancy status of parking spots in a simulation environment. Using a toy model, a camera system, and a machine learning model, this system identifies whether a parking space is EMPTY or NOT EMPTY in real-time.
ai-systems classifier computer-vision cv2 numpy opencv parking-spot-detection parking-spots python sckit-image sckit-learn simulation-environment svm svm-classifier
Last synced: 18 Apr 2026
https://github.com/sultanazhari/decisive-model-with-high-profit-potential-and-low-risk
OilyGiant mining company finding the best place for 200 new well points, As an Data Scientist we're creating a model who can choose the best 200 point by profit and risk.
accuracy-score chi2-contingency confusion-matrix logistic-regression matplotlib-pyplot numpy pandas python3 random-forest roc-auc-score seaborn train-test-using-sklearn
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https://github.com/jsnevt/regressao_linear
Regressão linear simples - Qual a velocidade se levou x distância para parar ?
linear-regression matplotlib numpy pandas python
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https://github.com/hariprasath-v/machinehack-analytics-olympiad-2022
Create a machine learning model to help an insurance company understand which claims are worth rejecting and the claims which should be accepted for reimbursement.
catboost-classifier exploratory-data-analysis logloss machinehack numpy optuna pandas python scikit-learn shap
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https://github.com/ricardorobledo/spamemailclassification
Spam email classification using machine learning (Random Forest, SVC, Logistic Regression, etc.) with data balancing techniques (SMOTE, BorderlineSMOTE, ADASYN). Final calibrated Random Forest model achieves ROC-AUC 0.982 and PR-AUC 0.979 on the Spam Email Classification dataset.
imbalanced-data imbalanced-learning numpy pandas python3 sklearn
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https://github.com/ricardorobledo/next_level_data_science
matplotlib numpy pandas python3 scikit-learn
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https://github.com/murugavl/flower-prediction
Flower Prediction is a machine learning project that uses the Iris dataset to classify iris flowers into three species: Setosa, Versicolor, and Virginica. The project includes data analysis, model training with various algorithms, and deployment via a Flask web application for user-friendly predictions.
flask machine-learning matplotlib numpy pandas python scikit-learn seaborn
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https://github.com/dyceszn/i.duruohacos102
First-year deep dive into problem-solving with Python—featuring class practices and projects using NumPy, Pandas, Tkinter, and psycopg2.
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https://github.com/iv4n-ga6l/titanic-survival-prediction
a predictive model in Python that answers the following question: “using data relating to passengers (name, age, gender, socio-economic class, etc.), who has the greatest chance to survive?"
matplotlib numpy pandas python seaborn sklearn
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Data Science and Python notes
data-science django-rest-framework matplotlib numpy pandas python seaborn webscraping
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https://github.com/ashithapallath/feature-engineering
This repository contains a range of examples and techniques for feature engineering, aimed at improving dataset quality and boosting model performance. It covers essential methods such as Exploratory Data Analysis (EDA) and Interquartile Range (IQR) analysis for detecting and handling outliers.
exploratory-data-analysis feature-engineering iqr-method matplotlib numpy outlier-detection pandas python seaborn
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https://github.com/alexkhype/04python-carpricepredictor
Modelo de machine learning para predecir el valor de mercado de autos usados, optimizando precisión y eficiencia.
catboost data-science lightgbm machine-learning numpy pandas python sklearn statistics xgboost
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https://github.com/jai0212/ai-virtual-painter
Real time finger and object painting using advanced computer vision technology with custom hand gestures and customizable colours
artificial-intelligence cmake computer-vision cpp mediapipe numpy opencv python
Last synced: 05 Apr 2026
https://github.com/shdrn2402/incomesresearch
The project aims to study the influence of various characteristics on a person’s income. In this project, I practiced data preprocessing and visualization, and also touched on the basics of machine learning.
jupyter-notebook matplotlib numpy pandas python seaborn sklearn visualization
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https://github.com/nowon1/insurance-claim-prediction_version
This project aims to predict the insurance claim amounts based on various customer attributes using machine learning techniques. The project involves data preprocessing, exploratory data analysis, feature engineering, and model training and evaluation.
data-preprocessing data-science data-visualization exploratory-data-analysis feature-engineering insurance jupyter-notebook machine-learning numpy pandas predictive-modeling python random-forest regression-analysis scikit-learn
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https://github.com/andres15alvarez/numericalcalculator
Calculator of roots of equations and system of linear algebraic equations.
numerical-methods numpy python scipy
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https://github.com/kenatsf/basic_data_analysis
Basic data science project: ETL, forecast and data visualization.
analysis data data-analysis data-science logistic-regression matplotlib matplotlib-pyplot numpy pandas powerbi python scikit-learn time-series time-series-analysis time-series-forecasting
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https://github.com/al-ghaly/prosper-loans-analysis
A statistical Analysis Project, to analyze the data of a finance company’s loans Using Python packages (pandas – NumPy – seaborn – matplotlib)
data-analysis matplotlib numpy pandas python python-data-analysis seaborn statistical-analysis statistics
Last synced: 18 Apr 2026
https://github.com/iv4n-ga6l/object_detection_with_background_substractor
Object Detection and Tracking with OpenCV background subtractors
background-substraction-algorithm background-subtraction lucas-kanade numpy object-detection object-tracking opencv optical-flow python scipy
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https://github.com/ayu-ano/basic_object-detection
End to End Basic object Detection using Open CV
background-substraction-algorithm cv2 masking math mixture-of-gaussians numpy python3
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https://github.com/rahuls-1106/dataspark
DataSpark is a powerful analytics project transforming raw retail data into actionable insights for Global Electronics. By leveraging Python, SQL, and interactive visualizations, it uncovers trends in customer behavior, sales performance, and product popularity, driving smarter business decisions and boosting growth.
data-visualization jupyter-notebook matplotlib numpy pandas-dataframe powerbi python seaborn sql
Last synced: 18 Apr 2026
https://github.com/znreza/paradoxes
Q-learning algorithm from scratch in python for optimal path finding
grid grid-search matrix numpy python qlearning-algorithm reinforcement-learning
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https://github.com/zombietdv/rfl-13_8
Implementaion for Genetic algorithm and Q-Learning.
genetic-algorithm grid-world machine-learning numpy pygame q-learning
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https://github.com/autokmg/ai-foundations
Practice exercises related to the Foundations of Artificial Intelligence university course. The code examples are designed to help students gain a deeper understanding of these topics and to prepare for exams and assignments. The repository is open to contributions from other students.
Last synced: 18 Apr 2026
https://github.com/rhazra-003/modelinglab
Assignment - Solution of Modeling Lab of 7th Semester (Batch of 2023) of NIT Durgapur
jupyter-notebook matplotlib-pyplot numpy pandas python3 shapely
Last synced: 19 Apr 2026
https://github.com/shortthirdman/distributedlagmodels
Distributed Lag Models in Dynamic Model Time Series
disributed-log-models numpy pandas python statsmodels time-series
Last synced: 19 Apr 2026
https://github.com/kumpatlapavankumar/eda-project-on-google-play-store-anlaysis
analysis computer-science data-cleaning data-science data-scraping enginneering enjoy exploratory-data-analysis matplotlib numpy outlier-detection pandas preprocessing projects seaborn-plots upgrad
Last synced: 19 Apr 2026
https://github.com/csanri/simplenn
Simple Neural Network for MNIST Classification
machine-learning-algorithms neural-network numpy python
Last synced: 19 Apr 2026
https://github.com/simonusher/multi-layer-perceptron
My solution to an assignment on multi-layer perceptron. Implemented in python and numpy. Contains the forward and backward pass code, as well as some utility functions.
multi-layer-perceptron neural-network numpy python
Last synced: 19 Apr 2026
https://github.com/mariacarolinass/programacao-linear
Minimizando problemas matemáticos com Python e AMPL.
ampl numpy programacao-linear ufrn
Last synced: 19 Apr 2026
https://github.com/crazy-dot/zomato-data-analysis
This project analyzes 50k Bengaluru restaurants from Zomato, focusing on 17 features like location and ratings. It cleans, explores, and visualizes data to improve services. Key visualizations include delivery, booking, location, and cost. The goal is to provide insights for better customer experiences.
data-cleaning-and-preprocessing data-manipulation-with-pandas inferential-statistics kaggle-dataset numpy pandas-python python zomato-data-analysis
Last synced: 19 Apr 2026
https://github.com/emerald-geomodelling/downfile
A safe & version independent pickle alternative that integrates setuptool entry points for extensions
feather json numpy pandas python serialization
Last synced: 19 Apr 2026
https://github.com/mugambi645/eda-projects
A list of EDA projects
data-analysis eda matplotlib numpy pandas plotly seaborn webscraping
Last synced: 19 Apr 2026
https://github.com/abdoufermat5/gps_statistiques
Calculs statistiques pour le cloud personnel
geolife gps numpy pandas python statistics trajectory-analysis
Last synced: 20 Apr 2026
https://github.com/gemmus/tictactoe-ai
Built with minimax algorithm, using pygame.
minimax-algorithm numpy oop pygame python tic-tac-toe
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https://github.com/vyjayanthipolapragada/car_mileage_prediction
Predicting the mileage of car using the linear regression model with Scikit-learn
kaggle-titanic linear-regression machine-learning numpy pandas predictive-modeling python scikit-learn
Last synced: 20 Apr 2026
https://github.com/prahaladhchandrahasan/housingprices_adavanced_regression
A machine learning model for "House Prices: Advanced Regression Techniques" kaggle competition.
machine-learning-algorithms matplotlib-pyplot numpy pandas python3 scikit-learn
Last synced: 20 Apr 2026
https://github.com/paulo-santos-ds/previsao_preco_carros
O objetivo é realizar predições em um aplicativo de vendas de carros. A qualidade e velocidade de predições é crucial para o negócio. O projeto utiliza dados históricos, especificações técnicas, versões de acabamento e preços.
lightgbm math matplotlib numpy pandas python time
Last synced: 20 Apr 2026
https://github.com/s1dewalker/portfolio_analysis
MPT in Python | Efficient Frontier modeling, Fama French 3 Factor Analysis, Monte Carlo Simulations and Portfolio Risk Analysis (Sharpe, VaR)
efficient-frontier equity financial-research monte-carlo-simulation numpy pandas portfolio-analysis portfolio-management portfolio-optimization python quantitative-analysis quantitative-finance regression regression-models risk risk-analysis risk-management risk-models value-at-risk volatility
Last synced: 20 Apr 2026
https://github.com/prithvikings/zomato_data_anaysis
This analysis provides insights into customer preferences and restaurant performance on Zomato. The visualizations and findings can help Zomato make informed decisions to improve customer experience and tailor their offerings.
matplotlib numpy pandas python seaborn
Last synced: 20 Apr 2026
https://github.com/jbalooshie/school_district_analysis
Analysis of standardized testing results using NumPy and Pandas, executed in Jupyter Notebook. Summaries of the testing results are provided based on school, test type, and grade level.
data-analysis data-science dataframes jupyter-notebook numpy pandas python
Last synced: 20 Apr 2026
https://github.com/dennis-mureti/mini-project-data-science
HIV data analysis per county (use PYTHON IDE)
data-science jupyter-notebook machine-learning matplotlib numpy pandas python
Last synced: 20 Apr 2026
https://github.com/mkhekare/bikesharing_ml
Provides insights into the bike sharing trends based on various factors such as time of day, season, and weather. The findings can be used to improve bike sharing services and understand user behavior.
matplotlib numpy numpy-library pandas seaborn
Last synced: 20 Apr 2026
https://github.com/vyjayanthipolapragada/image_cartoonification_opencv
Cartoonify images using opencv and tkinter
cartoonify computer-vision easygui image-processing imageio matlplotlib numpy opencv pillow python tkinter
Last synced: 20 Apr 2026
https://github.com/nerett/get
Scripts from General Engineering (GET 2022) labs
adc dac gpio gpio-pins matplotlib matplotlib-figures matplotlib-pyplot mipt numpy numpy-arrays pwm python python3 raspberry-pi
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https://github.com/zombietdv/n_gram-model
n_gram model implementation with numpy only
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https://github.com/aleklukanen/systemsofsprings
This repository contains a few helpful pieces of Python code that can be used to compute time dependent positions of springs in 2 and 3 dimensions.
finite-element-methods finite-elements jupyter-notebook numerical numpy python
Last synced: 21 Apr 2026
https://github.com/danpoynor/pet-shelter-data-analysis-notebook
Demonstration of skills analyzing data from a pet shelter. The CSV data contains tables detailing the incoming and outgoing animals and I use my knowledge of Pandas to gather and present the requested information.
csv data-analysis data-cleaning data-science jupyter-notebook matplotlib numpy pandas pet-shelter tabular-data
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https://github.com/amaldevh/py-method-profiler
Profile Python methods without changing your code
benchmarking numpy performance performance-analysis profiling python statistics timing wrapper
Last synced: 16 May 2026
https://github.com/star2dust/numpy-notes
A tutorial to learn numpy and matplotlib.
Last synced: 16 Jun 2026
https://github.com/separatrixxx/crypto_labs_6_sem
👓 Laboratory work for the 6th semester of MAI on cryptography
cryptography matplotlib numpy python
Last synced: 21 Apr 2026
https://github.com/mohammed-majid/image-classification-nn
Image classification using custom Neural Network (No ML packages)
custom multiclass-classification neural-network numpy
Last synced: 22 Apr 2026
https://github.com/prakhr/clickstream-data-visualization-on-raw-customer-dataset
contains streamlit app of the corresponding dataset
clickstream-data matplotlib matplotlib-pyplot numpy pandas-dataframe plotly plotly-python streamlit streamlit-application streamlit-webapp
Last synced: 22 Apr 2026
https://github.com/prince-gh/numpy
Learn Numpy step by step
library numpy prince-gh python
Last synced: 22 Apr 2026
https://github.com/syedsaadahmed/playing-with-pandas-numpy-matplotlib
Practicing pandas, matplotlib and numpy for different data-sets, practicng these libraries and putting all the bit here in this repository
jupyter-notebook matplotlib numpy pandas pandas-numpy-matplotlib python3
Last synced: 05 Jun 2026
https://github.com/ahmad-ali-rafique/numpy-mastery-notebook
Inside this repository, you'll discover a comprehensive notebook dedicated to showcasing various NumPy array methods and operations. From basic array manipulation to advanced techniques, I've compiled a collection of examples and explanations to help both beginners and seasoned Python developers deepen their understanding of NumPy.
dataanalytics numpy numpy-arrays numpy-exercises numpy-library numpy-python
Last synced: 24 Apr 2026
https://github.com/theroyakash/shallow_neural_network
Design of an one hidden layer neural network using numpy only,
neural-networks numpy shallow-neural-network
Last synced: 24 Apr 2026
https://github.com/dataspieler12345/user_journey_analysis_project
User Journey Analysis in Python Project Create your own functions and tools to analyze user journey strings in Python.
Last synced: 24 Apr 2026
https://github.com/sciguymjm/introtomlmidterm2
Code for Intro to ML Midterm 2
hierarchical-clustering kfold-cross-validation kmeans-clustering numpy
Last synced: 24 Apr 2026
https://github.com/haranrk/linear-regression
Implemented Linear Regression and some of it's variants
machine-learning matplotlib numpy python python3
Last synced: 24 Apr 2026
https://github.com/redinfinitypro/pygamecicruit
Rating: (6/10) The code combines a Pygame GUI application with a PySpice circuit simulation, providing a user-friendly interface with buttons, menu options, dropdown menus, input boxes, sliders, and text elements.
matplotlib numpy os pygame pyspice random sys
Last synced: 24 Apr 2026
https://github.com/pawpaw2022/proj03-math-painting
An app that lets the user provide the start coordinates of geometrical shapes such as squares and rectangles, their dimensions, and their colors, and the program produces an image file canvas with all the geometrical shapes drawn in it. (Click the link below to see the demo)
Last synced: 24 Apr 2026
https://github.com/nightmachinery/mlp_from_scratch
A simple MLP using only numpy. The computational graph is not automatically tracked, but the network supports arbitrarily many batch axes.
deep-learning deep-neural-networks deeplearning educational mlp mlp-classifier mlp-networks numpy
Last synced: 25 Apr 2026
https://github.com/mattjudge/numpy_caching
Provides a method to cache the results from functions (typically numpy-based) in persistent storage
Last synced: 25 Apr 2026
https://github.com/jagkagd/np-xarr
Perform a numpy array transformation intuitively by giving simple patterns.
Last synced: 25 Apr 2026
https://github.com/toxic-whitelgnd/matrice_cryptography
A simple math Project based on Matrices-Cryptography by using python-numpy
cryptography math-problem matrices numpy python3
Last synced: 25 Apr 2026
https://github.com/davewhit3/bill-detector
Bill detection. Usage OCR algorithm to read content
ai numpy ocr-recognition python3
Last synced: 26 Apr 2026
https://github.com/just-buildit/just-makeit
Python C extensions the easy way.
c-extension cmake code-generator numpy pep517 python python-packaging scaffolding wheel
Last synced: 15 Jun 2026
https://github.com/prathush-kumar/fake_news_detection
Developed an intelligent system to identify and classify fake news articles using Natural Language Processing (NLP) and Machine Learning techniques.
classification machine-learning natural-language-processing numpy pandas sklearn-library
Last synced: 26 Apr 2026
https://github.com/686f6c61/conjetura-goldbach-gui-python
Aplicación para visualizar la Conjetura de Goldbach, que establece que todo número par mayor que 2 puede expresarse como la suma de dos números primos.
goldbach-conjecture matplotlib numpy python3 tkinter-gui
Last synced: 26 Apr 2026
https://github.com/m-k-l-s/sudoku
A trivial sudoku solver in Python, using recursion and numpy.
backtracking numpy python recursion solver sudoku
Last synced: 27 Apr 2026
https://github.com/hinanohart/dostosim
Dostoevskian agent-based simulation: seven literary archetypes as a unified reward decomposition. Anti-optimisation, dignity-as-utility, ideological cascade, gambler-ruin — pre-registered H1-H4 with bootstrap CI / BH-FDR / Cliff's delta.
abm agent-based-modeling behavioral-economics bootstrap-ci computational-social-science dostoevsky literature networkx numpy python reproducible-research
Last synced: 27 Apr 2026