NumPy | Ecosyste.ms: Awesome

https://github.com/samanthalang/samanthalang_portfolio

Une data analyste avec la vision d'une consommatrice et la stratégie d'une marketeuse.

bigquery excel figma mysql notebook numpy pandas postgresql powerbi powerquery python sql sqlite wordpress

Last synced: 09 Apr 2026

https://github.com/jcm-ai/Robust-MLOps-Elevating-Machine-Learning-to-Production-Scale

This project aims to address the challenge faced by the Office of Foreign Labor Certification in managing a high volume of job certification applications for employers seeking to hire foreign workers in the United States. By leveraging ML models, this project seeks to streamline the process of shortlisting visa applicants based on historical data.

aws-ec2 aws-ecr aws-s3 cicd-pipeline data-science docker-image end-to-end exploratory-data-analysis git github-actions html machine-learning-models mlops mlops-project model-deployment mongodb numpy pandas python yaml

Last synced: 09 Aug 2025

https://github.com/pem-humboldt/wiutils

Exploration utilities for Wildlife Insights projects.

biodiversity camera-trap images matplotlib numpy pandas python seaborn trail-cameras wildlife-insights

Last synced: 09 Aug 2025

https://github.com/towaquimbayo/comp-3948

BCIT Computer Systems Technology (CST) - COMP 3948 (Predictive Modelling)

classification matplotlib numpy pandas prediction-model predictive-analytics predictive-modeling python regression scikit-learn scipy sklearn statsmodels

Last synced: 09 Apr 2026

https://github.com/ars-sg/python_projects

A collection of diverse Python projects. Each project is meant to highlight different aspects of Python, from data analysis and web development to automation and machine learning. Feel free to explore the code, contribute, or reach out if you have any questions or collaboration ideas!

machine-learning matplotlib numpy pandas python seaborn streamlit

Last synced: 09 Apr 2026

https://github.com/rociobenitez/deeplearning-airbnb-price-prediction

Deep Learning project for Airbnb price prediction, featuring data preprocessing and neural network models in Google Colab.

airbnb-data airbnb-pricing-prediction convolutional-neural-networks deep-learning deep-learning-algorithms deep-neural-networks jupyter-notebook keras keras-neural-networks keras-tensorflow matplotlib numpy pandas python seaborn

Last synced: 09 Apr 2026

https://github.com/sahiltiwariiii/email-spam-classifier

This model will tell you weather mail is spam or not

dataanalysis datacleaning datascience eda machine-learning nlp-machine-learning nltk numpy pandas python scikit-learn streamlit streamlit-webapp tfidf-vectorizer wordcloud-visualization wordtovec

Last synced: 09 Apr 2026

https://github.com/ayan6943/employee-attrition-prediction-with-machine-learning

Employee Attrition Prediction with Machine Learning | Analyzing HR data to predict employee turnover using Random Forest. Includes EDA, feature engineering, model training, and evaluation. Achieved 90% accuracy.

attrition employee machine-learning matplotlib numpy pandas python randomforestclassifier scikit-learn seaborn smote

Last synced: 09 Apr 2026

https://github.com/deepcloudlabs/ain2002-2024.2025-introduction.to.data.science

AIN2002: Introduction to Data Science

numpy pandas python r scikit scikit-learn

Last synced: 09 Apr 2026

https://github.com/abdulhadi806/muffin-or-cupcake-model

𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 model that is capable of checking whether the model I inputted is a mufin or cupcake, I am in a learning face today is 1/25/2024 let's see how far I can go in this field. Wish me luck:)

ai jupyter-notebook machine-learning numpy pandas python sklearn support-vector-machine svm

Last synced: 09 Apr 2026

https://github.com/blackcub3s/msc-finalthesis

The most important programming files, code functions and data processing pipelines for the Machine learning final thesis of my Master's degree. Also, the LaTeX code of the thesis.

data-analysis latex machine-learning numpy python sklearn

Last synced: 09 Apr 2026

https://github.com/ashwani-199/dataanalysis2024

Python Data Analysis

data-analysis data-visualization numpy pandas python seaborn sklearn

Last synced: 09 Apr 2026

https://github.com/yc1909/mental_health_analysis

This is project that helps detect user's mental health based on user's description.

bert-embeddings chatbot classification exploratory-data-analysis generative-ai langchain large-language-models machine-learning nlp numpy ollama pandas python sentiment-analysis tensorflow

Last synced: 09 Mar 2026

https://github.com/aaaastark/web_scraping

Web Scraping

beautifulsoup csv matplotlib news numpy pandas pyhton python3 request requests scraper scraping web-scraping webscraping

Last synced: 10 Aug 2025

https://github.com/aravinda-1402/covid-detection-model-using-chest-x-ray

The objective of this project is to develop a Deep Learning Model to identify the X-Rays of healthy vs. Pneumonia (Corona) afflicted patients using the Chest X-Ray dataset, and use this model to power the AI application to test the Corona Virus in a faster phase.

classification cnn covid flask keras numpy pandas tensorflow

Last synced: 09 Apr 2026

https://github.com/abideen-olawuwo/sentimental-analysis

A sentimental analysis on movie Black Adam

beautifulsoup imbd-movies nlp numpy pandas python requests sentiment-analysis torch transformer

Last synced: 09 Apr 2026

https://github.com/jahanostg/healthguard_with-smart-ai-diagnosis-hub

This project is a Flask-based platform for patients, donors, and doctors, integrating hospital management in one solution. It uses Machine Learning models for predictive health analysis and Power BI for interactive dashboards. Through this project, I enhanced my skills in full-stack development, applied ML, and healthcare data solutions.

css flask-api google-colaboratory-notebooks html5 js machine-learning mysql numpy pandas pkl-model powerbi python-3

Last synced: 09 Apr 2026

https://github.com/jalijuhola/amazon-textual-reviews-recommender-

predicting score and recommending using amazon textual reviews

numpy pandas python scikit-learn typescript

Last synced: 09 Apr 2026

https://github.com/ananupam/eda-stock_market

An Exploratory Data Analysis project done on Financial data read from a search engine (yahoo) to predict the trends of stocks of 4 Tech companies.

jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 06 May 2026

https://github.com/josafatburmeister/circle_detection

A Python package for circle fitting.

circle numpy objectdetection pointcloud python

Last synced: 09 Apr 2026

https://github.com/vipinchaudhary31122002/valuevanguard

ValueVanguard is a machine learning project for accurate house price predictions. Using advanced algorithms and real-world data, it empowers users to analyze and forecast property values efficiently. Perfect for developers, data enthusiasts, and real estate professionals. 🏠📈

machine-learning matplotlib numpy pandas python sklearn streamlit

Last synced: 12 Apr 2026

https://github.com/jadelhelm/100-days-of-code-python

The Complete Python Pro Bootcamp 2024

100daysofcode 100daysofpython bootstrap bootstrap5 css css3 flask html matplotlib numpy pandas plotly python rest-api scikit-learn selenium-webdriver sqlite tkinter turtle

Last synced: 09 Apr 2026

https://github.com/1ayanabil1/100-days-of-python-bootcamp

Join me on my journey to code in Python every day for 100 days! 🐍 This challenge is designed to sharpen my programming skills, explore Python libraries, and build cool projects along the way.

data-structures data-structures-and-algorithms data-visualization django flask machine-learning matplotlib numpy pandas python seaborn web-development

Last synced: 09 Apr 2026

https://github.com/ravi0529/e-commerce-annual-spend-model

A basic Linear Regression model for predicting annual customer's spending

jupyter-notebook linear-regression matplotlib numpy pandas python scikit-learn scipy

Last synced: 09 Apr 2026

https://github.com/subhajit0210/face-mask-detection-using-cnn

This project demonstrates how to build a Face Mask Detection System using CNN

activation-functions cnn convolutional-neural-networks cv2 deep-learning deep-neural-networks face-mask-detection keras loss-functions matplotlib neural-network numpy optimizer python3 sklearn tensorflow

Last synced: 09 Apr 2026

https://github.com/srikarveluvali/dataanalysis

The "Dataset - Extraction, Analysis, and Visualization" project is a Python-based data analysis venture that focuses on exploring and interpreting the "Video Game Sales Analysis" dataset.

css data-analysis html javascript matplotlib numpy pandas python seaborn tableau

Last synced: 09 Apr 2026

https://github.com/sk-g/mnist_beginners

Model search in traditional machine learning algorithms (non DL) and DL starter codes on MNIST dataset. This is a good starter code for beginners trying to learn about curse of dimensionality, overfitting and other concepts in general

keras machine-learning machine-learning-algorithms mnist mnist-beginners mnist-classification mnist-dataset numpy overfitting python pytorch pytorch-implmention resnet resnet-50 scikit-learn scikitlearn-machine-learning sklearn tensorflow

Last synced: 09 Apr 2026

https://github.com/paulomppatricio/projeto_challenge_telecomx-br_parte-2

Projeto Challenge TelecomX-BR_Parte-2 - Formação Data Science do programa ONE - Oracle Next Education em parceria com a Alura.

data-science imblearn joblib machine-learning matplotlib modelos-preditivos numpy pandas python scipy seaborn sklearn statsmodels xgboost

Last synced: 12 Apr 2026

https://github.com/faisal-khann/banking_portfolio_risk_analysis

This analysis explores the banking customer dataset to uncover key patterns in account holdings, loan portfolios, income profiles, and transactional behavior. By integrating both financial and demographic variables, we examine customer engagement, lending trends, and risk exposure across different segments.

data-manipulation eda matplotlib numpy pandas powerbi python seaborn

Last synced: 21 Aug 2025

https://github.com/kasraskari/learn-python-codes

A beginner-friendly repository to learn Python programming through structured examples and scripts, covering topics from basics to advanced concepts.

jupyter-notebook matplotlib matplotlib-tutorial numpy numpy-tutorial pandas pandas-tutorial python python-learning python-tutorial python-tutorials scipy scipy-tutorial tutorials

Last synced: 09 Apr 2026

https://github.com/magzybog12/real-time-object-distance-measurement-using-opencv-python

Using an A4 paper as a guide, performing the distance measurements to find the height and width of objects placed in the region

numpy opencv-python pycharm-ide

Last synced: 05 May 2026

https://github.com/nazmul-1117/100-days-of-machine-learning

I'm Nazmul so exited to start a new journey to learn 100 Days of Machine Learning. It's February 8, 2025. I'm so exited, let's see what happened insha'Allah

data-science machine-learning numpy pandas-dataframe python3 scikit-learn statistics

Last synced: 11 Aug 2025

https://github.com/rishabhmathur06/image-compression-using-stablediffusion

colab-notebook matplotlib neural-network numpy python stable-diffusion tensorflow

Last synced: 09 Apr 2026

https://github.com/prath0m/python-numpy

Python basic Numpy Program

machine-learning numpy python python3

Last synced: 09 Apr 2026

https://github.com/mariam-zaidi/lead_scoring_case_study

Leads Scoring_Logistic regression model

logistic-regression matplotlib numpy pandas seaborn sklearn

Last synced: 15 Feb 2026

https://github.com/vlasdislav/flakevision

colab-notebook cv2 matplotlib ml numpy python scikit-learn

Last synced: 09 Apr 2026

https://github.com/yash-3-bit/human-activity-recognition-using-smartphone-data

Human Activity Recognition (HAR) Using Smartphone Data This project leverages smartphone sensor data to recognize human activities such as walking, running, sitting, and standing.

numpy pandas python scikitlearn-machine-learning seaborn

Last synced: 09 Apr 2026

https://github.com/ashish-kr-srivastava/olympic-games-eda---python

About Exploratory Data Analysis of a Historical Olympic Games Dataset, including all the games from Athens 1896 to Rio 2016.

data-visualization datacleaning eda matpotlib numpy pandas python seaborn seaborn-python

Last synced: 09 Apr 2026

https://github.com/adityabadgotiya/facial-recognition-attendance-system

This Attendance System that uses facial recognition to automatically mark student attendance. It features admin and student logins, real-time face detection, attendance tracking, email reporting, and secure password management. Built with Python (Tkinter, OpenCV, and Pillow), it replaces manual attendance with automated facial verification.

hashlib numpy opencv pandas pillow python sha-256-hash smtplib tkinter-gui

Last synced: 12 Aug 2025

https://github.com/mdarshad1000/ml-libraries

Code for the scientific and visualization libraries in Python for Machine Learning.

matplotlib numpy pandas seaborn

Last synced: 09 Apr 2026

https://github.com/singhvishal003/bert-sentiment

Sentiment Analysis Model To Detect the Sentiments.

beautifulsoup numpy pandas requests torch torchvision

Last synced: 09 Apr 2026

https://github.com/celalaygar/python-experiences

How to use numpy, map, response, opencv, pandas on python 3+. There is a lot of simple project for everybody to understant how to use python.

cv2 numpy opencv pandas pandas-dataframe python response

Last synced: 09 Apr 2026

https://github.com/vedanty3/bulldozer-price-prediction

A machine learning project aiming to build a machine learning model which could predict the sales price of bulldozer.

andrew-ng-machine-learning ensemble-machine-learning gridsearchcv jupyter-notebook machine-learning matplotlib numpy pandas python randomforestregressor randomizedsearchcv scikit-learn ztm

Last synced: 05 Apr 2026

https://github.com/tnleite/real-estate-opportunities-analysis

Este repositório apresenta uma análise de oportunidades no mercado imobiliário, combinando séries temporais, clusterização e previsões para identificar estados com maior potencial de crescimento e orientar estratégias de expansão eficientes.

catboostregressor cluster-analysis data-science kmeans-clustering lightgbm-regressor machine-learning-algorithms numpy regression-models scikit-learn xgboost-regression

Last synced: 10 May 2026

https://github.com/relostar-devil/census-income-prediction

An end-to-end ML project using 1994 US Census data to classify income (>50K/<50K). The Jupyter Notebook covers data preprocessing, EDA, and model evaluation with multiple classifiers.

matplotlib numpy pandas scikitlearn-machine-learning seaborn

Last synced: 10 May 2026

https://github.com/iamfarrokhnejad/neural-network

A simple neural network without reliance on any NN library.

classification matplotlib mnist mnist-classification mnist-dataset mnist-handwriting-recognition neural-network neural-networks neuralnetwork neuralnetworks numpy pandas python

Last synced: 11 May 2026

https://github.com/gatuno1/details_meson_numpy_error

Documents for exploration of meson error on numpy installation over PyPy on Windows

meson numpy pypy unicode windows

Last synced: 11 May 2026

https://github.com/pdoup/atml-notebooks

Proposed assignment notebooks for Advanced Topics in Machine Learning tasks

active-learning cost-sensitive-learning imbalanced-data machine-learning multi-instance-learning multi-label-classification numpy scikit-learn

Last synced: 11 May 2026

https://github.com/9bow/deep-learning-from-scratch

examples in the book

book deeplearning example-code jupyter-notebook numpy python3

Last synced: 11 May 2026

https://github.com/akashash01/decision_tree

A very specific type of probability tree that enables you to make a decision on certain process(chance event outcomes, resources cost, utility).

data-science decision-tree-classifier machine-learning numpy pandas-dataframe python sklearn

Last synced: 11 May 2026

https://github.com/chaganti-reddy/heart_disease_prediction

Machine Model creation for Heart Disease Prediction

data-science deep-learning machine-learning numpy python

Last synced: 11 May 2026

https://github.com/parthds02/customer-segmentation-with-kmeans-clustering

Analyze customer behavior using Python and KMeans Clustering on transactional data. Features RFM analysis, data cleaning, clustering insights, and actionable visualizations to support business decision-making.

data-analysis data-visualization feature-engineering kmeans-clustering numpy pandas vscode

Last synced: 11 May 2026

https://github.com/omogbolahan94/google-play-store-app-analysis

Data exploration, data cleaning, interactive data visualisation and insight presentation

matplotlib numpy pandas plotly

Last synced: 11 May 2026

https://github.com/khalidelboray/image_processing

Notes about image processing

image-processing numpy python3

Last synced: 11 May 2026

https://github.com/ayodimeji1/ai_linear_regression

artificial-intelligence linear-regression machine-learning matplotlib numpy sckit-learn seaborn

Last synced: 11 May 2026

https://github.com/samuel-schlemper-schlemuel/calculadora-de-media-variancia-e-desvio-padrao

Esse é um projeto do currículo do curso de analise de dados do FreeCodeCamp

numpy python

Last synced: 11 May 2026

https://github.com/daksh90a/wine-quality-analysis

The Wine Quality Analysis project is an AI/ML-based data analysis initiative aimed at predicting and understanding the factors that influence the quality of wine.

matplotlib-python numpy pandas seaborn

Last synced: 12 May 2026

https://github.com/zilean12/digital-image-processing

Digital Image Processing

bit-plane-slicing computer-vision digital-image-processing numpy opencv warping

Last synced: 12 May 2026

https://github.com/chandkund/movie-recommender-system

Unlocking the magic of personalized movie recommendations! This project uses the Cosine Similarity Algorithm to suggest movies based on user-selected titles, making movie discovery more enjoyable.

Last synced: 12 May 2026

https://github.com/mituskillologies/dkte-da-mar25

Programs conducted at DKTE's Engineering Institute, Ichalkaranji in training on Python Data Analytics March 2025.

data-analysis matplotlib numpy pandas python-programming tkinter-python

Last synced: 13 May 2026

https://github.com/jsnevt/knn_neighborhood

ML - classificação por vizinhança

kneighborsclassifier matplotlib numpy pandas seaborn

Last synced: 13 May 2026

https://github.com/andydevs/optipy

Optimization algorithms written in python

numpy optimization optimization-algorithms

Last synced: 13 May 2026

https://github.com/gmcgibbon/udacity-dlnd-project-1

Udacity Deep Learning Nanodegree - Project 1

deep-learning jupyter-notebook nn numpy udacity

Last synced: 13 May 2026

https://github.com/prathicashettym/agriculturallanddetection

6th Semester SDG EL

flask keras matplotlib numpy pandas python seaborn streamlit tensorflow

Last synced: 13 May 2026

https://github.com/chicoyildiz/python-raytracing-demo

Interactive Python ray tracer (numpy + pygame) with a ceiling camera, dynamic resolution scaling, and a glowing bouncing fireball.

numba numpy python python3 raytracing

Last synced: 14 May 2026

https://github.com/khushi130404/gradient_realm

Gradient_Realm is a Python project exploring regression techniques and optimization methods like Regularization, Batch, Stochastic, and Mini-batch Gradient Descent. It uses scikit-learn and custom implementations for hands-on learning.

batch-gradient-descent mini-batch-gradient-descent numpy stochastic-gradient-descent

Last synced: 14 Jun 2026

https://github.com/gsaini/streamlit-ui-getting-started

Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver dynamic data apps with only a few lines of code. Build and deploy powerful data apps in minutes. Let's get started!

codecov github-actions numpy pandas python streamlit unittest

Last synced: 14 Jun 2026

https://github.com/goessl/complex-random

A package for the most basic complex random sampling.

complex complex-numbers complex-plane normal-distribution numpy pip python random random-number-generator uniform-distribution unit-circle

Last synced: 15 Jun 2026

https://github.com/tomdewildt/interactive-and-explainable-ai-design

Code for The Interactive And Explainable AI Design course of my master's degree

jupyter lime numpy pandas python scikit-learn shap

Last synced: 18 Jun 2026

https://github.com/jayemscript/lab-to-code

A complete Python learning roadmap for scientists and researchers — covering data science, biology, chemistry, physics, and mathematics with curated libraries, tools, and resources.

bioinformatics chemistry data-science jupyter-notebook machine-learning mathematics numpy pandas physics python research roadmap scientific-computing scikit-learn

Last synced: 19 Jun 2026

https://github.com/harshavardhanbommalata/knn_tutorial

K-Nearest Neighbors (KNN) is a simple yet powerful machine learning algorithm. Unlike models that learn parameters during training, KNN uses lazy learning—it stores the dataset and predicts by finding the closest neighbors, making decisions through majority voting.

machine-learning-algorithms mathematical-modelling matplotlib numpy pandas

Last synced: 20 Jun 2026

https://github.com/takana671/fluidcube

Particle Movement Using Curl Noise

curl-noise cython numpy panda3d python

Last synced: 22 Jun 2026

https://github.com/lmlk-seal/pyspeed

Intelligent Python Performance Optimization Tool Automatically profile, analyze, and accelerate your Python code with minimal effort.

analyzer customtkinter gui intelligent numpy optimization optimization-tools performance python real-world-problem-solving

Last synced: 23 Jun 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/huggon1/ml-algorithm-implementations

Educational implementations for ML, DL, LLM blocks, ViT, and CUDA.

cuda machine-learning numpy pytorch vision-transformer

Last synced: 28 Jun 2026

https://github.com/raghad-odwan/finding-donors-for-charityml

adaboostclassifier decisiontreeclassifier matplotlib numpy pandas sklearn-library svm-classifier

Last synced: 29 Jun 2026

https://github.com/nova-land/kalmanfilter-python

Kalman Filter in PyTorch and Numpy

kalman-filter numpy python pytorch

Last synced: 08 May 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/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/jsnevt/series_temporais

Previsão de eventos que ocorrem sazonalmente

datetime matplotlib numpy pandas

Last synced: 09 May 2026

https://github.com/sameerjain/ai-snake-game

Implemented a Q-learning agent to play and learn the classic Snake game, leveraging PyTorch for Neural Network. Visualized using Matplotlib, showcasing agent's evolving performance over time. Built UI using Pygame to visualize Snake, including food, and current score.

anaconda conda matplotlib neural-network numpy pygame python3 pytorch q-learning

Last synced: 09 May 2026

https://github.com/kemalcalak/developing-driverless-vehicles

This project includes the software required for an autonomous vehicle

numpy object-detection opencv segmentation yolo

Last synced: 09 May 2026

https://github.com/mahmood-anaam/deterministic-dynamic-programming

This repository explores deterministic dynamic programming solutions for the Shortest Path Problem (SPP) and the Traveling Salesperson Problem (TSP). It includes graphical representations, a detailed Jupyter notebook, and practical implementations for optimizing travel routes and minimizing costs in various city-based scenarios.

dynamic-programming graph-theory jupyter-notebook numpy python shortest-path-problem traveling-salesperson-problem

Last synced: 09 May 2026

https://github.com/franciscomartinez45/social-network-analysis

Applied to analyze how misinformation propagates within communities. With the goal of addressing health disparities and improving health literacy particularly in minority populations, the project explores both supervised and unsupervised learning approaches to understand patterns in graph-structured data using a custom Graph Attention Network

matplotlib ml networkx numpy pytorch

Last synced: 09 May 2026

https://github.com/aliyahscoding/tiny-recommender

Tiny item-item recommender in Python using cosine similarity over a toy user–item matrix. Simple CLI to print top-N recommendations.

collaborative-filtering cosine-similarity numpy pandas python recommender-system

Last synced: 09 May 2026

https://github.com/rosemol-jose/noisy-sparse-phase-retrieval-using-thresholded-wirtinger-flow-algorithm

Implementing and evaluating the TWF algorithm against real datasets

mathematics numpy python scipy signal-processing spyder

Last synced: 09 May 2026

https://github.com/flexthink/matricize

A convenience library to convert between pure Python objects and their vectorized representations

data machine-learning numpy python

Last synced: 09 May 2026

https://github.com/ishaj72/analysis_model2

Dataset analysis model using matplotlib and other libraries

machine-learning matplotlib numpy pandas

Last synced: 09 May 2026

https://github.com/kingsley-ezenwaka/mean-var-std

This is a (mini) Python project, completed as part of the requirements for the Data Analysis with Python certification from freeCodeCamp.com.

numpy python

Last synced: 09 May 2026

https://github.com/amr-yasser226/pagerank-power-method

Modular Python implementation of the PageRank algorithm via the power method, with discrete‑math foundations, end‑to‑end code, and experimental validation.

discrete-mathematics graph-algorithms markov-chain network-analysis networks numpy pagerank power-method python scipy

Last synced: 09 May 2026

https://github.com/brian-hepler-phd/kak-decomposition-qml

Cartan decomposition (SU(4)) via Lie theory and QML – exact + variational approaches for two-qubit gates.

lie-theory machine-learning numpy pennylane qml quantum-computing quantum-gate-decomposition scipy su4

Last synced: 09 May 2026

https://github.com/mktechai-0786/data-analysis-on-dr-visits

Data Analysis On Dr. Visits dataset

data-analysis matplotlib-pyplot numpy pandas seaborn

Last synced: 09 May 2026

https://github.com/shaikats/python-assignment

Simulation and Modeling Lab assignments using Python, NumPy, Matplotlib, and Jupyter Notebook.

jupyter-notebook matplotlib numpy python simulation-modeling

Last synced: 09 May 2026

https://github.com/sivasurya681/financial-expense-tracker

The Financial Expense Tracker is a Python-based app built with Flet, Pandas, NumPy, and Matplotlib.pyplot for seamless expense management. It enables real-time tracking, categorization, and data visualization through bar and pie charts. Users can generate summaries, export/import data, and make informed financial decisions easily.

calculator-application differntial expense-tracker flet matplotlib-pyplot numpy pandas python salary-calculator total

Last synced: 09 May 2026

https://github.com/mairagalvao/final_grades

An analysis of the final grades of students using Python

matplotlib numpy pandas python3

Last synced: 09 May 2026

https://github.com/priyanshul28/exercise_pandas

A Pandas exercise demonstrating the loading, cleaning and reorganization of data in .xlsx or .csv files, descriptive statistics, data visualization, statistical approximation of data with the normal distribution, etc.). Libraries include Pandas, NumPy, Scipy, SymPy, MatplotLib.

data-cleaning data-visualization matplotlib numpy pandas

Last synced: 09 May 2026