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/sundanc/besthousefinder
A Streamlit web application that helps users find the best house based on their preferences.
numpy pandas prediction python streamlit
Last synced: 17 Apr 2026
https://github.com/farzeennimran/or-and-and-gates-using-perceptron-learning
Training single-layer perceptrons to get the outputs of OR and AND logic gates.
data-science gates machine-learning neural-network neural-networks-from-scratch numpy perceptron-learning-algorithm perceptron-neural-networks python
Last synced: 17 Apr 2026
https://github.com/antonio-f/simple-k-nearest-neighbors
Simple K-Nearest Neighbors using partial sort
101 k-nearest-neighbors knn numpy partial-sort python tutorial
Last synced: 08 May 2026
https://github.com/glbter/data-analysis-py
data-analysis labs. 50/50 made with Oleh Tonkoshkur
numpy pandas python3 scipy-stats
Last synced: 12 Jun 2026
https://github.com/chandkund/loan-eligibility-prediction
This project is designed to predict the eligibility of loan applicants based on various factors such as income, credit history, and marital status. By analyzing historical loan application data, the model helps to determine whether a loan application should be approved or not.
data-analysis data-science data-visualization machine-learning-algorithms matplotlib numpy pandas python seaborn
Last synced: 09 Apr 2026
https://github.com/fyt3rp4til/anomaly-detection
dbscan-clustering isolation-forest local-outlier-factor matplotlib numpy sklearn
Last synced: 05 Mar 2026
https://gitlab.com/DLR-SY/beos
Beos is a legacy Fortran tool used to calculate the static and dynamic buckling behavior of flat/curved fiber composite structures.
Last synced: 16 Aug 2025
https://github.com/thekartikeyamishra/data-preprocessor
A Google Colab module for interactive data preprocessing. Handles missing values, categorical encoding (One-Hot, Label), and numerical scaling (Standard, MinMax). Outputs a cleaned dataset
ipywidgets numpy pandas python scikit-learn
Last synced: 08 May 2026
https://github.com/kheriberto/knn_project
This is a simple project that uses dummie data to practice and demonstrate my knowledge of the KNN algorithm.
data-analysis knn-classifier numpy python scikit-learn seaborn
Last synced: 02 Apr 2026
https://github.com/amirmohammadgholampour/mall-customer-segmentation
Project for segmenting customers in a shopping mall using the Clustering algorithm.
numpy pandas python scikit-learn
Last synced: 02 Apr 2026
https://github.com/satyas567/weatherdataanalysis
Comprehensive Weather Data Analysis with Python: Explore trends, visualize patterns, detect outliers, and predict temperature using humidity and wind speed
jupyter-notebook linear-regression matplotlib numpy pandas python scikit-learn seaborn
Last synced: 02 Apr 2026
https://github.com/lmicovic/neural-network-image-recognition
Application that recognize clothes items from images.
fashion-mnist keras machine-learning mathplotlib mnist-classification neural-network numpy opencv pandas python3 tensorflow
Last synced: 02 Apr 2026
https://github.com/amruta33/melanoma-detection
To build a CNN based model which can accurately detect melanoma. Melanoma is a type of cancer that can be deadly if not detected early. It accounts for 75% of skin cancer deaths. A solution that can evaluate images and alert dermatologists about the presence of melanoma has the potential to reduce a lot of manual effort needed in diagnosis.
keras machine-learning numpy pandas python3 sckiit-learn tensorflow
Last synced: 09 Apr 2026
https://github.com/mac2bua/autoalgo
Autonomous algorithm optimization research - 19x speedup achieved through self-driven iterations
algorithm-optimization autoresearch numpy performance python
Last synced: 02 Apr 2026
https://github.com/mnagaharshithrao/diamondpriceprediction
Diamond Price Prediction is a machine learning project that predicts the price of diamonds based on features like carat, cut, color, clarity, and more. Using models such as XGBoost, Random Forest, and Gradient Boosting, the project aims to accurately forecast diamond prices, helping buyers and sellers in the diamond industry make informed decisions
machine-learning numpy pandas sckiit-learn xgboost
Last synced: 17 Apr 2026
https://github.com/abdullahashfaqvirk/SMS-Spam-Detection
A machine learning application designed to classify SMS messages as spam or non-spam, offering real-time analysis to identify potentially harmful content.
css3 docker flask html5 javascript matplotlib nltk numpy pandas python scikit-learn seaborn tailwindcss xgboost
Last synced: 16 Aug 2025
https://github.com/orliluq/inmersion-datos-python
Desarrollar modelos de machine learning para predecir la probabilidad de incumplimiento crediticio de los clientes, utilizando diferentes algoritmos de clasificación (Regresión Logística, Árboles de Decisión, Random Forest, Naive Bayes).
colab-notebook numpy pandas python scikit-learn
Last synced: 02 Apr 2026
https://github.com/rakibhhridoy/predictingsequence-timeseriesanalysis
Time series data easy handling purposes in TensorFlow and python functional programming. Time Series data is handled and pre-processed by different steps,like making window of the data,splitting data for model purpose is also different than other processing methods. All has combined for easy access.
forecasting functional-programming keras lstm lstm-neural-networks moving-average numpy python tensorflow time-series windowed
Last synced: 02 Apr 2026
https://github.com/cosmicsid004/air_draw
Digital drawing....
handtracking mediapipe numpy opencv
Last synced: 30 Apr 2026
https://github.com/charlenry/python_math_machine_learning
Mes notebooks de travaux pratiques sur Python, NumPy, SimPy, SciPy, Matplotlib, Plotly, Seaborn et les Mathématiques pour le Machine Learning
algebra derivatives functions jupyter linear matplotlib matrix numpy plotly probabilities pyplot python pytorch scipy seaborn sklearn statistics sympy tensorflow time
Last synced: 25 Jun 2026
https://github.com/sahil210695/numpy-basics
A brief overview of NumPy basics
data-science numpy numpy-tutorial python
Last synced: 08 May 2026
https://github.com/nikhilsree5/aerofitcasestudy
Customer Profiling and Market Segmentation for AeroFit Treadmills: A Data-Driven Approach
customerprofile eda numpy pandas python visualization
Last synced: 17 Apr 2026
https://github.com/theakashshukla/diabetes-prediction
Diabetes Prediction using futuristic tool
ai jupiter-notebook ml numpy pandas sklearn
Last synced: 17 Apr 2026
https://github.com/antonio-f/regularization-methods
Shrinkage methods: Ridge Regression and Lasso
lasso lasso-regression machine-learning numpy python regularization ridge-regression scikit-learn
Last synced: 17 Apr 2026
https://github.com/kaushik-puttaswamy/exploratory-data-analysis-using-python
This project applies Exploratory Data Analysis (EDA) using visualizations like box plots, scatter plots, and correlation matrices. It helps identify patterns, select ideal functions via least squares error, and map test data while evaluating deviations.
bokeh expolatory-data-analysis matplotlib numpy pandas python seaborn sqlalchemy
Last synced: 17 Apr 2026
https://github.com/lexxai/goit_python_ds_hw_03
Модуль 3. Класичне машинне навчання. Перенавчання. Лінійна регресія. LaTeX формули.
latex linear-regression matplotlib numpy pandas python scikit-learn
Last synced: 09 Apr 2026
https://github.com/ashraf-khabar/bank-marketing-data-analysis
This project is focused on analyzing bank marketing data using PyTorch, pandas, numpy, and scikit-learn. The goal is to build a predictive model that can help identify potential customers who are more likely to subscribe to a bank's term deposit.
data-cleaning data-science data-visualization dataset deep-learning deep-neural-networks feedforward-neural-network learning neural-networks numpy pandas python pytorch sklearn
Last synced: 09 Apr 2026
https://github.com/sunnyrao07/water-quality-analysis
A machine learning project that predicts water potability based on chemical and physical attributes, using models like Logistic Regression, Random Forest, and XGBoost.
data-cleaning label-encoding logistic-regression matplotlib model-evaluation numpy pandas pyhton random-forest sckiit-learn seaborn smote standard-scaler xgboost
Last synced: 08 May 2026
https://github.com/varakanthamsaihruthikreddy975/champo_carpets_case_analysis_python
the champo carpets case study Analysis in python, this is still under development this will be a more comprehensive analysis than previous one in R. I have the complete version of code in R refer to this link - ( https://github.com/VarakanthamSaiHruthikReddy975/Champo_Carpets_Case_Study_Analysis)
case-analysis jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python3 seaborn
Last synced: 17 Apr 2026
https://github.com/khalidelboray/image_processing
Notes about image processing
image-processing numpy python3
Last synced: 11 May 2026
https://github.com/mwoss/mownit
Various tasks from numerical analysis laboratories solved using Python
jupyter-notebook mathematics matplotlib numerical-analysis numpy python scipy
Last synced: 17 Apr 2026
https://github.com/tasninanika/australian-credit-approval-analysis-svm
This project uses a Support Vector Machine (SVM) Classifier to predict whether a credit application is approved (1) or denied (0) based on applicant features.
numpy pandas python3 scikit-learn svm-classifier
Last synced: 10 Apr 2026
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/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
Last synced: 04 Apr 2026
https://github.com/amandeep-gupta19/chatbot
Created a custom chatbot using Langchain. Here's a summary of what I did: Data Extraction: I gathered data about technical courses from the Brainlox website using Langchain’s URL loaders. Embedding Creation & Storage: I converted this data into embeddings and stored it in a vector store for efficient searching. API Development: I built a Flask
data-extraction faiss-vector-database flask-restful langchain numpy scikit-learn vector-database webbaseloader
Last synced: 09 Apr 2026
https://github.com/surayasumona/ford_used_car_analysis
Explanatory Data Analysis with Python
data-science data-visualization matplotlib numpy pandas python seaborn
Last synced: 09 Apr 2026
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/alphacrypto246/old-car-price-prediction
The Old Car Price Prediction project predicts used car prices using features like age, mileage, and fuel type. It includes data preprocessing, model training, and visualization of trends, with easy customization for additional features or models.
machine-learning numpy pandas scikit-learn scikitlearn-machine-learning
Last synced: 09 Apr 2026
https://github.com/alainlebret/python-et-ia-1
Ressources personnelles du cours "Python & IA" en 2e année GPSE à l'ENSICAEN
artificial-intelligence image-processing machine-learning matplotlib numpy python scikit-image scikit-learn
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/ola-kaznowska/image-processing-
Image processing. Artificial neural network
ai artificial-intelligence machine-learning neural-network numpy python tensorflow
Last synced: 18 Apr 2026
https://github.com/baranwaljii/data-science-projects
This Repository contains projects related to the domain of data science based on python and jupyter notebook
data-science jupyter-notebook machine-learning numpy pandas python
Last synced: 09 Apr 2026
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
Last synced: 05 Apr 2026
https://github.com/chdl17/credit-eda-casestudy
Credit EDA is a GitHub repository designed to provide educational materials and tools for exploring credit risk data. The repository contains notebooks, datasets, and code samples to help users learn and apply these concepts to credit data.
exploratory-data-analysis numpy pandas
Last synced: 08 May 2026
https://github.com/stffns/snapvec
Fast compressed ANN search via randomized Hadamard transform + Lloyd-Max quantization. Pure NumPy.
ann embeddings hadamard numpy quantization rag vector-search
Last synced: 07 Apr 2026
https://github.com/rafagomezguillen/data-science-python
Data Science and Python notes
data-science django-rest-framework matplotlib numpy pandas python seaborn webscraping
Last synced: 18 Apr 2026
https://github.com/akshay-rajan/machinelearning
Introduction to Machine Learning
machine-learning machine-learning-algorithms matplotlib numpy pandas sklearn
Last synced: 09 Apr 2026
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/satvikpraveen/numpymasterpro
A hands-on, production-ready toolkit to master NumPy — from first principles to real-world applications. Includes modular Jupyter notebooks, reusable utility scripts, cheatsheets, and advanced projects like K-Means clustering from scratch.
broadcasting data-analysis data-science data-source data-visualization jupyter-notebook kmeans-clustering linear-algebra machine-learning matrix-algebra numerical-computation numpy numpy-broadcasting numpy-examples numpy-tutorial open-source python scientific-computing standardization vectorization
Last synced: 08 May 2026
https://github.com/grantgasser/task3
Multiclass Classification
keras multiclass-classification numpy pandas tensorflow
Last synced: 05 Apr 2026
https://github.com/andres15alvarez/numericalcalculator
Calculator of roots of equations and system of linear algebraic equations.
numerical-methods numpy python scipy
Last synced: 05 Apr 2026
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/somenath203/skin-lesion-segmentation-opencv
numpy opencv pandas skin skin-lesion skin-lesion-segmentation
Last synced: 18 Apr 2026
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
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
Last synced: 18 Apr 2026
https://github.com/linggarm/lvq-and-elm-with-iris-dataset
Implementation of Learning Vector Quantization (LVQ) and Extreme Learning Machine (ELM) with Iris Dataset
artificial-intelligence deep-learning elm extreme-learning-machine learning-vector-quantization lvq machine-learning numpy python soft-computing
Last synced: 18 Apr 2026
https://github.com/pedro-stanaka/dlnd-projects
Projects from Deep Learning Nanodegree from Udacity
artificial-neural-networks deep-learning machine-learning numpy python3
Last synced: 18 Apr 2026
https://github.com/mayankmittal29/criticalphenomena-exploring_phase_transitions_and_self-organized_criticality
A computational physics project exploring critical phenomena through percolation theory and the Bak-Tang-Wiesenfeld sandpile model.
criticality-c gif-animation jupyter-notebook matplotlib numpy percolation-theory python3 sandpile-model
Last synced: 18 Apr 2026
https://github.com/krish57-bit/sentiment-analysis-using-bert
Sentiment analysis using NLP techniques and BERT Model
matplotlib natural-language-processing nlp nltk numpy pandas seaborn sentiment-analysis
Last synced: 08 May 2026
https://github.com/saurabh274/aerofit-statistics-and-probability
The market research team at AeroFit wants to identify the characteristics of the target audience for each type of treadmill offered by the company, to provide a better recommendation of the treadmills to the new customers. The team decides to investigate whether there are differences across the product with respect to customer characteristics.
matplotlib-pyplot numpy pandas probability python seaborn statistics
Last synced: 08 May 2026
https://github.com/costopoulos/ntua-dsp
:signal_strength: NTUA ECE Digital Signal Processing Course Source Codes and Reports
dsp filters fourier-transform librosa numpy pywt scipy short-time-signal-analysis stft
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/icejan/predicton-systems
Various systems that train on data and generate a prediction
lightfm machine-learning numpy python scikit-learn
Last synced: 08 May 2026
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/saurabh9136/data-analysis_using_pandas-numpy
A beginner-friendly repository exploring data analysis using NumPy and Pandas. Covers fundamental operations, data manipulation, and real-world dataset analysis.
data-analysis-python numpy pandas python scipy
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/danishzulfiqar/predictive-maintenance-model-training
Model Training and Deployment Scripts for Predictive Maintenance.
h5 jupyter-notebook keras-tensorflow mongodb mongosse numpy nural-network pandas pickle shap tensorflow
Last synced: 09 Apr 2026
https://github.com/wrighang/06_python-api-challenge
Module 6: Python APIs
api citipy geoapify hvplot jupyter-notebooks matplotlib numpy open-weather-api pandas python scipy-stats
Last synced: 20 Apr 2026
https://github.com/ditikrushna/identify-customer-segments
In this project, Bertelsmann partners AZ Direct and Arvato Financial Solutions have provided two datasets one with demographic information about the people of Germany, and one with that same information for customers of a mail-order sales company. I have looked at relationships between demographics features, organized the population into clusters, and saw how prevalent customers are in each of the segments obtained.
clustering clustering-algorithm numpy pca
Last synced: 08 May 2026
https://github.com/girishkolhe/lendingclubcasestudy
data-science data-visualization eda matplotlib numpy pandas-dataframe python seaborn
Last synced: 20 Apr 2026
https://github.com/diegodscamara/whisperlive
🎙️ WhisperLive: Real-time audio transcription powered by OpenAI's Whisper model. Convert live speech to text with high accuracy, supporting multiple languages and real-time processing. Perfect for accessibility, content creation, and live captioning.
ai blackhole numpy python wave whisper
Last synced: 09 May 2026
https://github.com/abyss-s/data-analysis-project
[컴퓨팅사고와 데이터분석 기초] 최종 프로젝트 (2024-1)
matplotlib numpy pandas python sckiit-learn
Last synced: 20 Apr 2026
https://github.com/zombietdv/n_gram-model
n_gram model implementation with numpy only
Last synced: 21 Apr 2026
https://github.com/aliakbar-omidi/ten-most-populous-cities-of-iran
This project is to show the densely populated cities of Iran on the map
basemap matplotlib numpy pandas python
Last synced: 09 May 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/raghavendranhp/predictive-analytics-in-automotive-manufacturing-testing-time-optimization
Explore machine learning for automotive testing optimization. Predictive analytics to reduce testing time and environmental impact.
elasticnet extratreesregressor fastica model-pipeline numpy pandas pca randomforestregressor svr-regression-prediction xgboost
Last synced: 09 May 2026
https://github.com/dyk-team/vna-impedance-measurements
Calibration and deembedding for impedance measurments on PCB cells
antenna-equation cst-studio de-embedding delay-time lab-automation magneto-impedance microstrip numpy pcb-cells phase-unwrapping probe python rohde-schwarz scattering-parameters scpi-instruments sensors solt-calibration surface-impedance vna zhejiang-university
Last synced: 27 Apr 2026
https://github.com/avinashkrishna07/plant-disease-prediction-cnn-deep-leanring-project
Plant Disease Prediction with CNN - Deep Learning Project
cnn-for-visual-recognition docker keras-tensorflow machine-learning numpy streamlit-webapp
Last synced: 09 May 2026
https://github.com/nyx1311/timelstm
TimeLSTM: An interactive Streamlit app for multi-step time series forecasting using LSTM networks, featuring data preprocessing, visualization, GPU-accelerated model training, and automated result export.
deep-learning deep-neural-networks lstm-neural-networks numpy pandas ploty python3 scikit-learn-python statsmodels streamlit torch tqdm
Last synced: 27 Apr 2026
https://github.com/brendandasilva/applieddatascience
4 projects from Applied Data Science
data-science numpy pandas python
Last synced: 27 Apr 2026
https://github.com/crispengari/netflix-statistics
This is the visualisation of two categories of netflix movies which are: * movies * tv shows
data-science datafram jupyter-notebook matplotlib numpy pandas python
Last synced: 27 Apr 2026
https://github.com/lupin3000/tello-python
Python application to control the DJI Tello Drone with different controllers.
debian dji-sdk djitellopy drone dualsense-controller evdev hidapi macos numpy opencv python stadia-controller tello unihiker
Last synced: 27 Apr 2026
https://github.com/jbayardo/dip-tp2
compression image-processing jpeg numpy python scikit-image
Last synced: 27 Apr 2026
https://github.com/moonmoonsamal/data-driven-google-ads-for-listing-sites-analysis
Analyzed Google Ads performance to identify top channels, keywords, and geographical impact
cleaning-dataset eda manipulation modelling numpy visualization
Last synced: 27 Apr 2026
https://github.com/l2nce/datamining-study
Introduction to data mining
data-analysis data-mining matplotlib numpy panda
Last synced: 28 Apr 2026
https://github.com/yanyan69/acss-techlaro
arduino-uno automation numpy opencv prototype python raspberry-pi raspberry-pi-camera ultralytics yolo
Last synced: 28 Apr 2026
https://github.com/varun-khorgade/salesense-e-commerce-analytics
Analyzed e-commerce datasets to discover customer behavior trends and business insights. Performed EDA, data cleaning, and visualizations to help stakeholders make data-driven decisions.
customer-behavior-analysis dashboards datacleaning exploratory-data-analysis feature-engineering jupyter-notebook matplotlib numpy pandas python seaborn sql time-series-trend visulaization
Last synced: 28 Apr 2026
https://github.com/rajivaleaakash/customer-churn-prediction
A machine learning project focused on predicting customer churn using various data analysis and modeling techniques. The repository includes data preprocessing, feature engineering, exploratory data analysis (EDA), model training, evaluation, and visualization to help businesses identify customers at risk of leaving.
churn-prediction classification customer-churn data-analysis data-science gridsearchcv imblearn machine-learning numpy pandas pyhton randomsearchcv scikit-learn
Last synced: 28 Apr 2026
https://github.com/varakanthamsaihruthikreddy975/avocadopricesanalysis
This data analysis finds out the trends and analysis of avocado data by year
matplotlib-pyplot numpy pandas scipy scipy-stats seaborn sklearn-preprocessing
Last synced: 28 Apr 2026
https://github.com/pedronjorge/average-face
Generate an average face from a given set of images by detecting facial landmarks, aligning features, and blending the images using Delaunay Triangulation. Libraries used: Dlib, OpenCV, NumPy
dlib image-generation jupyter-notebook numpy opencv python3
Last synced: 30 Apr 2026
https://github.com/iv4n-ga6l/crowd-move-simulation
Crowd move simulation in python
matplotlib numpy python simulation
Last synced: 28 Apr 2026