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/zongxr/dcic2025-riverwaterprediction
闽江,福建省最大独流入海河流,流域降水丰沛。在新型电力系统和新阶段水利高质量发展的环境下,如何缓解流域防汛压力,提升水资源利用率是水电企业高质量发展的重中之重。目前,基于传统水文学原理已实现未来9小时甲级精度的洪水预报,但存在遇见期与预见精度上仍有提升空间,因此,通过结合人工智能技术实现流域入库流量的精准预测,对保障水库安全调度、防洪及清洁能源稳定供应具有重大战略意义。
lightgbm machine-learning numpy pandas sklearn time-series xgboost
Last synced: 03 May 2026
https://github.com/muskanmi/data_analysis_python
Data analysis on students result dataset using python libraries.
boxplot countplots data-analysis numpy pandas pie-chart python3 seaborn
Last synced: 03 May 2026
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/asayda01/airport_operations_analytics
The project analyzes the performance of Hold Baggage Screening X-ray Machines, identifying trends in system load, bottlenecks, and operator efficiency. Using an interactive Streamlit app, users can explore data-driven insights to optimize airport screening processes and improve overall operational performance.
data-science dataanalysis datainsights datavisualization numpy pandas python streamlit
Last synced: 03 May 2026
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
Last synced: 03 May 2026
https://github.com/coderooz/handwritten_digit_recognition
This project uses a Convolutional Neural Network (CNN) to recognize handwritten digits from the MNIST dataset. The model is built using TensorFlow and Keras.
colab handwritten-digit-recognition image-classification matplotlib neural-network numpy python tensorflow
Last synced: 03 May 2026
https://github.com/takana671/noisetexture
Generating noise texture images.
cellular-noise cython domain-warping fractal noise-textures numpy periodic-noise perlin-noise python3 simplex-noise tileable-noise value-noise voronoi
Last synced: 03 May 2026
https://github.com/feguedi/clasificador-numeros
Proyecto final de la materia de Inteligencia Artificial donde se desarrolla un software que pueda clasificar los números de la base de datos MNIST.
artificial-intelligence numpy python3
Last synced: 03 May 2026
https://github.com/naritanara/tf-test
Mostres de ML i IA amb TensorFlow basades en els tutorials oficials per al PR
numpy python research-project tensorflow tensorflow-tutorials
Last synced: 03 May 2026
https://github.com/grachale/convolution_image
The implementation of a function that takes an image (RGB or gray one) and a filter (kernel) and applies a convolution between them.
convolution image-processing numpy python
Last synced: 03 May 2026
https://github.com/fnfkkengine/website-performance-data-analysis-project
🌐 Analyze website performance data to gain insights on user engagement, traffic trends, and optimize your digital presence effectively.
analysis analytics dashboard data-analyst data-collection data-preprocessing data-visualization dax funnel-analysis jupyter-notebook matplotlib mysql numpy paid-search power-query project-management python storytelling
Last synced: 04 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
Last synced: 04 May 2026
https://github.com/aymanmomin/facebook-ego-network-analysis-for-political-outreach-optimization
Analyzing Facebook ego networks to identify influential users and communities for optimizing political advertising. Leverages network science techniques (Louvain communities, centrality metrics, threshold models) to simulate influence spread.
community-detection course-project facebook-network-analysis louvain-algorithm louvain-community-detection matplotlib network-analysis network-graphs networkx-library numpy pandas python3 pyvisgraph research-paper scipy-stats sklearn-metrics tqdm
Last synced: 04 May 2026
https://github.com/ortanav2/parabola-visualizer
Simple parabola-visualizer made with matplot+numpy [Formula: a(x+d)²+e]
mathematics matplotlib numpy parabola visualization
Last synced: 04 May 2026
https://github.com/jalijuhola/neurcomputing-course
Some of tasks from neurocomputing course
Last synced: 04 May 2026
https://github.com/damisparks/become_data_analyst
Are you new to Data Analysis ? Here you will find simple notebook that will help through your journey. These are personal projects I work on and still working.
data data-analysis data-visualization matplotlib numpy pandas-tutorial
Last synced: 04 May 2026
https://github.com/ola-kaznowska/median-statistic
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
Last synced: 04 May 2026
https://github.com/abhivur/graduate-income-forecaster
Contributors: Abdussalam Raheem, Chiara Su, and Joseph Botros
matplotlib numpy pandas python scikit-learn seaborn
Last synced: 04 May 2026
https://github.com/miozilla/fescarefine
fescarefine :skier::mount_fuji::guide_dog: : Refine & Test ML Models # Features Scaling # Normalization # Datasets
gradient-descent linear-regression matplotlib model-testing mse norm numpy ols overfit pandas scatter seaborn sklearn standardization statsmodels underfit
Last synced: 04 May 2026
https://github.com/florianwoelki/salary_linear_regression
This project is for salary prediction using linear regression without any machine learning library.
jupyter linear-regression machine-learning matplotlib numpy pandas python regression
Last synced: 04 May 2026
https://github.com/rifkyiqbal52/data-analytics-and-visualization-projects
used cars dataset analysis and visualization
descriptive-statistics inferential-statistics matplotlib numpy pandas python seaborn stats tableau-public
Last synced: 04 May 2026
https://github.com/arjunravi26/deep_learning
This repo contains codes and notes to learn deep learning
ann autoencoders cnn deep-learning deepseek-r1 lstm numpy rnn-tensorflow tensorflow transformer
Last synced: 04 May 2026
https://github.com/sweta-kaundilya/python_for_data_analysis
Learning Python and all the relevant libraries in python for Data field.
cufflinks data-analysis data-science matplotlib numpy pandas plotly python seaborn
Last synced: 04 May 2026
https://github.com/jonad/titanic_exploratory_analysis
Exploratory Data Analysis on Titanic Dataset
jupyter-notebook numpy pandas python3
Last synced: 04 May 2026
https://github.com/charlenry/machine_learning_estimer_prix_voiture
Projet de Machine Learning pour estimer le prix d'une voiture d'occasion via une application
joblib jupyter-notebook matplotlib-pyplot numpy oop-python pandas plotly-express python sklearn-linear-model sklearn-linear-regression
Last synced: 04 May 2026
https://github.com/mariiasam/stroke-prediction
A model for predicting the risk of stroke in a patient
balanced-random-forest-classifier decission-tree-classifier gradient-boosting imbalanced-learning joblib logistic-regression matplotlib numpy random-forest-classifier scikit-learn seaborn streamlit
Last synced: 04 May 2026
https://github.com/hyperplasma/olympic-visualization-analysis
Multidimensional analysis and visualization of Olympic medals, economy, and happiness index.
data-analysis data-visualization matplotlib numpy pandas python wordcloud
Last synced: 04 May 2026
https://github.com/linsanity03/algorithmic_trading
Trading strategy based on the intersection of short-term and long-term moving averages.
jupyter-notebook matplotlib-pyplot numpy pandas
Last synced: 04 May 2026
https://github.com/silbena/gibbssampler
Gibbs Sampler for a simple mortgage model.
gibbs-sampler gibbs-sampling numpy python
Last synced: 04 May 2026
https://github.com/secary/maths7027
Mathematical Foundations of Data Science
latex mathematics numpy pandas
Last synced: 04 May 2026
https://github.com/wwwmisla/gerador-mapas-calor
Sistema de visão computacional para gerar mapas de calor com base na movimentação em espaços públicos, auxiliando no planejamento urbano e uso eficiente do espaço.
color computer-vision demo google-colab gradio heatmap marchine-learning matplotlib model numpy opencv people-detection python smart-city ufrn visao-computacional vision-computer yolo yolov8
Last synced: 04 May 2026
https://github.com/pedasoft-consult/product_purchase_prediction
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.
machine-learning matplotlib numpy pandas python seaborn sklearn
Last synced: 04 May 2026
https://github.com/swarup-ranjan-mondal/chat-analyzer
A streamlit app to analyze whatsapp personal and group chats.
matplotlib numpy pandas python seaborn streamlit
Last synced: 04 May 2026
https://github.com/jakubfr4czek/apartment-prices-analysis
This repository contains an analysis of apartments prices in Krakow. It was made for "Rachunek prawdopodobieństwa i statystyka" (probability and statistics) course i took at AGH University of Science.
agh agh-wi analysis csv jupyter jupyter-notebook krakow numpy pandas price-analysis price-prediction probability probability-statistics python statistics statistics-learning
Last synced: 04 May 2026
https://github.com/abhinav330/911-emergency-calls-analysis
This Python Notebook analyzes emergency call data from the '911.csv' dataset. It uses various data visualization techniques to explore and gain insights into the emergency call data, including the types of calls, reasons for calls, and call patterns over time.
data-analysis data-science data-visualization eda exploratory-data-analysis exploratory-data-visualizations numpy pandas python
Last synced: 09 Jun 2026
https://github.com/katalekoweb/full-python-course-for-ai
Full python curse for AI
matplotlib numpy pandas python3 requests
Last synced: 04 May 2026
https://github.com/youssefyaser/scrape-the-imdb-site-for-the-top-250-movies
Web scraping the top 250 movies in IMDB site.
data-analysis numpy pandas python
Last synced: 04 May 2026
https://github.com/abhishekyadav915/e-commerce-sales-analysis
E-Commerce Sales Analysis is a data analysis project that explores sales data from an e-commerce platform to uncover insights and trends. The analysis includes visualizing sales performance, customer behavior, and product trends to help optimize business strategies and improve customer satisfaction.
matplotlib-pyplot numpy pandas-library plotly python3
Last synced: 04 May 2026
https://github.com/chathumiamarasinghe/nn-training-model
A comprehensive project for training neural networks to solve real-world problems. This repository includes customizable code for building, training, and evaluating neural network architectures using popular deep learning frameworks.
jupyter-notebook matplotlib numpy phyton scikit-learn
Last synced: 04 May 2026
https://github.com/surayasumona/test_bowlers_analysis
Data Analysis with Python
data-analysis data-manipulation data-preprocessing numpy pandas
Last synced: 04 May 2026
https://github.com/aqueeqazam/machine-learning-using-scikit
This repository contains all of the algorithms used to train the machine learning models using the Scikit library.
Last synced: 04 May 2026
https://github.com/pabs-code/img-cartoonizer-using-opencv
A streamline app using 3 ways to cartoonized an image using OpenCV and Python.
bilateral-filtering color-quantization edge-detection edge-enhancement laplacian-edge-detection numpy opencv python
Last synced: 04 May 2026
https://github.com/asuquoaa/applied_data_science_with_python_study
Notes, codes and practicals on the Applied Data Science with Python specialization by UM
matplotlib numpy pandas seaborn
Last synced: 04 May 2026
https://github.com/siddhantborse/atmosviz
Atmos Viz is a Python-based project designed to analyze, visualize, and predict global temperature trends across various cities and countries using time-series analysis and advanced data science techniques. Leveraging historical climate data, this project integrates machine learning models, geospatial mapping, and interactive visualizations to unco
geopandas geospatial-analysis gis matplotlib numpy pandas plotly python scikit-learn seaborn shapefiles time timeseries-analysis timeseries-data
Last synced: 05 May 2026
https://github.com/lin826/nanogpt-demo
Training and finetuning local GPTs.
gpt nanogpt numpy pytorch tqdm transformers
Last synced: 05 May 2026
https://github.com/vladd12/machine-learning-practice
Репозиторий для учебной практики и различных курсов, связанных с ИИ
json keras-tensorflow machine-learning numpy pandas pickle tensorflow2 torch xml
Last synced: 05 May 2026
https://github.com/tomaslopera/modelos_simulacion
jupyter-notebook matplotlib-pyplot modeling-and-simulation numpy pandas scipy seaborn
Last synced: 05 May 2026
https://github.com/egorouv/deepmachinelearning
DML Course
deep-machine-learning numpy python pytorch sklearn
Last synced: 05 May 2026
https://github.com/meicloudie/demo-python-data-analytics
Python Data Analytics
data-analyst jupyter matplotlib numpy pandas python work-project
Last synced: 05 May 2026
https://github.com/sahu-sakshi/covid-19
A comprehensive data analysis project for COVID-19 pandemic data, featuring automated data collection, feature engineering, visualization tools, and exploratory analysis notebooks.
Last synced: 05 May 2026
https://github.com/csgn/numpy-tr-docs
docs documentation np numpy numpy-tr-docs tr-docs turkish
Last synced: 05 May 2026
https://github.com/vc-nithesh944/pandas_numpy
Practice repository for NumPy & Pandas with scripts, notebooks, and notes for future revision
Last synced: 05 May 2026
https://github.com/chandrasankarsaha-code/customer-churn-prediction
A machine learning project to predict customer churn.
churn-prediction classfication customer machine-learning numpy pandas
Last synced: 05 May 2026
https://github.com/badranalyst/residential-unit-prices-data-analysis-application
Python-based analysis of residential unit prices, focusing on data cleaning, visualization, and exploratory data analysis (EDA). Key features include price distribution, and correlation analysis between factors like size, location, and pricing.
data-analysis data-visualization dataset matplotlib numpy pandas python seaborn
Last synced: 05 May 2026
https://github.com/nabilshadman/multiprocessing-time-series-data-simulation
A simulation using multiprocessing to generate 10,000 time dependent samples from an initial dataset of 20 samples
multiprocessing numpy pandas scipy simulation statistics time-series
Last synced: 05 May 2026
https://github.com/celineboutinon/bookworms
OpenClassrooms Data Analyst 2022-2023 - Projet 6
apriori-algorithm data-analysis data-analytics data-visualisation dataframes matplotlib-pyplot mlxtend numpy pandas python scikit-learn scikit-posthocs scikitlearn seaborn statsmodels
Last synced: 05 May 2026
https://github.com/zafir100100/cancer-stage-prediction
This code predicts cancer data using various regression models, calculates their average R-squared scores, and prints the best model.
cross-validation data-analysis data-preprocessing decision-trees gradient-boosting linear-regression machine-learning-algorithms numpy pandas random-forest regression scikit-learn
Last synced: 05 May 2026
https://github.com/saksham-21/data_analysis-on-hindustan-times-
Performed a proper NLP based analysis from the headlines, date published and the category of the news. Moreover created a interactive Dashboard on Tableau
beautifulsoup matplotlib numpy pandas tableau
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/rayan-alam-uoit/space-x-launch-prediction-tool
A full-stack data science project analyzing SpaceX launch data using web scraping, REST APIs, SQL, interactive visualizations, and machine learning in Python to explore trends and predict launch success.
dash data-science folium jupyter-notebook machine-learning matplotlib numpy pandas plotly python seaborn sql sqlite
Last synced: 05 May 2026
https://github.com/ranaessam03/climate-prediction
A machine learning project to predict rainfall using Decision Tree, k-Nearest Neighbors (kNN), and Naïve Bayes, with preprocessing, model evaluation, and custom kNN implementation.
decision-trees knn-classification machine-learning naive-bayes-classifier numpy sklearn
Last synced: 05 May 2026
https://github.com/patilsukanya/house-price-prediction
Libraries Used
matplotlib numpy pandas scikit-learn seaborn
Last synced: 05 May 2026
https://github.com/himanshigautam-rgb/python_libraries
This repository contains operations in Matplotlib for data visualization, NumPy for numerical computations, and Pandas for data manipulation and analysis. These libraries work together to efficiently process, analyze, and visualize data.
matplotlib numpy pandas python3
Last synced: 05 May 2026
https://github.com/chdl17/marvelvsdc
This GitHub repository contains Python and Tableau for analyzing Marvel Vs DC superheros.
excel jupyter-notebook numpy pandas python tableau-public
Last synced: 05 May 2026
https://github.com/zuhairzia/customer-segmentation
📖 About Customer Segmentation using KMeans clustering to analyze demographics, income, and spending. Helps businesses with targeted marketing and customer insights.
joblib matplotlib numpy pandas scikit-learn seaborn
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/voidwalker7/mnist
MNIST Digit Detector Model using only Numpy
from-scratch-in-python mnist numpy python
Last synced: 05 May 2026
https://github.com/anas436/generating-maps-with-folium-using-python
folium ibm-watson numpy pandas pulgins python3 wget
Last synced: 05 May 2026
https://github.com/nomissbowling/nomissbowling.github.io
nomissbowling.github.io
c cplusplus matplotlib numpy pyob python python-cpp-wrapper wrapper wx wxpython
Last synced: 05 May 2026
https://github.com/abdelrahman-amen/neural_style_transfer
This project applies neural style transfer to create new images by merging the content of one image with the artistic style of another.
neuralstyletransfer numpy os python streamlit tensorflow
Last synced: 05 May 2026
https://github.com/dulajkavinda/fashion-classification
👗 classify fashion items using machine learning
added machinelearning matplotlib numpy pandas python scikit
Last synced: 05 May 2026
https://github.com/supernovasatsangi23/modifying-biomarker-gene-identification-for-effective-cancer-categorization
A project that focuses on implementing a hybrid approach that modifies the identification of biomarker genes for better categorization of cancer. The methodology is a fusion of MRMR filter method for feature selection, steady state genetic algorithm and a MLP classifier.
dataset deep-learning deep-neural-networks feature-selection genetic-algorithm machine-learning machine-learning-algorithms mlp-classifier mrmr neural-network numpy pandas-dataframe python python3 scikit-learn scikit-learn-python tkinter-gui tkinter-python
Last synced: 05 May 2026
https://github.com/debangshu9183/spam-mail-detection
To detect spam mail
logistic-regression machine-learning numpy pandas scikit-learn seaborn
Last synced: 05 May 2026
https://github.com/hms75/movie_rating_analysis
A movie rating analysis which identifies trends amongst a dataset of 5000 movies.
data-analysis data-visualization matplotlib-pyplot numpy pandas python
Last synced: 05 May 2026
https://github.com/nxhawk/mln
Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.
decision-tree-classifier genetic-algorithm jupyter-notebook machine-learning-algorithms numpy pandas sklearn-library
Last synced: 06 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/facusm/prediccion-precio-de-propiedades
jupyter-notebook numpy pandas python sickit-learn
Last synced: 06 May 2026
https://github.com/eshansugeesh/fico-score-loan-default-modeling-project
Credit risk assessment using FICO score segmentation, loan default modeling, discretization techniques, and log-likelihood evaluation for predictive analytics in financial services.
bucketing classification credit-risk customer-segmentation data-science discretization fico-score financial-analytics loan-analysis loan-default log-likelihood machine-learning numpy pandas predictive-modeling risk-modeling scikit-learn segmentation statistical-modelling
Last synced: 06 May 2026
https://github.com/shahriarha/programming
Python problem solving, HR-30 days of code, DSA, NumPy
algorithms-and-data-structures cpp numpy programming python
Last synced: 06 May 2026
https://github.com/ianjure/simple-neural-network
Implementing a simple neural network using only Numpy.
deep-learning neural-network notebook numpy scratch-implementation
Last synced: 06 May 2026
https://github.com/frolov-andrey2405/mandelbrot-s-fractal
Mandelbrot's Fractal Constructions
Last synced: 06 May 2026
https://github.com/skorupcia/winequality-white
winequality-white.csv visualization
matplotlib numpy pandas seaborn sklearn
Last synced: 06 May 2026
https://github.com/mat-kubiak/manual-ml
DIY ML framework (using only NumPy!) + various demos
artificial-intelligence examples machine-learning ml ml-framework neural-networks numpy
Last synced: 06 May 2026
https://github.com/sankaran-s2001/us-traffic-accidents-analysis-python-eda
Exploratory data analysis of US traffic accidents from 2016-2023, analyzing patterns by time, location, weather, and severity using Python data science libraries.
data-analysis data-science data-visualization eda matplolib numpy pandas python
Last synced: 06 May 2026
https://github.com/erick957/saleprice-prediction-dataset-analysis-and-cleaning-advance-regression
🏠 Predict house prices using advanced regression techniques with this comprehensive analysis and cleaning project, from data loading to model deployment.
data-analysis data-science eda google-colab machine-learning numpy pandas python scikit-learn scikit-learn-python
Last synced: 06 May 2026
https://github.com/andrewsy1004/logistic-regression-spam-classifier
This project implements a spam email classifier using Logistic Regression.
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/5hraddha/optimize-oil-well-locations
In the quest for harnessing valuable energy resources, the OilyGiant mining company wants to expand its operations by discovering new oil well locations. To achieve this, a data-driven approach is adopted, leveraging geological exploration data from three distinct regions and employing techniques in data analysis and modeling.
linear-regression numpy pandas scikit-learn supervised-learning
Last synced: 06 May 2026
https://github.com/chopikus/raytracing-bench
Benchmarking ray tracers in Python, Java, Numpy, Cupy, Pypy
cupy java numpy pypy python raytracing
Last synced: 06 May 2026
https://github.com/sopheakchan/dull-razor-algorithm
DullRazor hair removal for dermoscopic skin images.
Last synced: 06 May 2026
https://github.com/fazal-coder/capturing_img
python code for Creating blue color image
loop numpy opencv processing python scheduler threading
Last synced: 06 May 2026
https://github.com/cycle-sync-ai/student-score-analysis
A data-driven student performance analysis project using UCI dataset (396 students, 33 features). Implements machine learning models (K-means, PCA, Decision Tree, Random Forest, Linear Regression) to analyze academic patterns and predict student scores based on lifestyle, health, and study habits.
clustering clustering-algorithm decision-trees feature-engineering learning-management-system linear-regression machine-learning machine-learning-algorithms matplotlib numpy pandas pca pickle prediction prediction-algorithm scikit-learn score seaborn student
Last synced: 06 May 2026
https://github.com/naveen88112/genetic_algos_maze_solver
Genetic Algorithm Maze Solver This project utilizes a Genetic Algorithm (GA) to solve the optimization of a maze problem. It evolves the population of promising solutions to the best solution finding shortest path between start and end point using selection, crossover, and mutation.
deap-library genetic-algorithms matplotlib maze-solver numpy python
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/swapnilvishwakarma/twitter_sentiment_dashboard
Using Streamlit and Python, I created interactive data dashboards and used Pandas to manipulate data in data science workflows. I also used Plotly to create interactive graphs.
dashboard machine-learning matplotlib numpy pandas plotly sentiment-analysis streamlit-webapp webapp wordcloud
Last synced: 06 May 2026
https://github.com/hansalemaos/cv2_collage
Create a collage from images with OpenCV
Last synced: 06 May 2026