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/shreeparab1890/indian-cricketer-classifier
This notebook is trying to bulia a model which will predict a Indian Cricketer based on the given image. In this project we have handled 8 Indian Cricketers and build a model to classify the given image between this 8 Cricketers.
image-classification matplotlib numpy opencv pandas python random-forest-classifier scikit-learn sklearn streamlit
Last synced: 01 Apr 2026
https://github.com/anuuragg/numpyneuralnet
machine-learning matplotlib neural-network numpy pandas
Last synced: 18 Jan 2026
https://github.com/intscription/machine-learning
Machine Learning and it's advance concepts
adaboost numpy pandas pca-analysis pipeline random-forest scikit-learn svm
Last synced: 28 Apr 2026
https://github.com/anubhavkumar31/simple-heart_disease_prediction-using-logisticregression
Its a simple yet good model which predicts if a person have heart disease or not. This is a binary classification model i.e its output is either 0(dont have heart disease) or 1 (have heart disease).
logistic-regression machine-learning numpy python sklearn sklearn-linear-model sklearn-metrics
Last synced: 10 Apr 2026
https://github.com/khaymanii/spam_mail_detection_model
This model was built using Python and Logistics Regression algorithm
matplotlib numpy pandas python sckiit-learn
Last synced: 10 Apr 2026
https://github.com/lmtreser/intro-data-science
Trayecto de formación en Ciencias de Datos con Python y Pandas
data-science matplotlib numpy pandas python seaborn
Last synced: 13 Apr 2026
https://github.com/pramodyasahan/spaceship-titanic
This repository features a machine learning model designed to predict whether passengers of a space travel company are likely to be transported. The model employs CatBoostClassifier, a machine learning algorithm known for handling categorical data effectively.
machine-learning numpy pandas python scikit-learn
Last synced: 13 Apr 2026
https://github.com/shanaxrules/ml-exercise-practice
Notebook for all ML exercises
jupyter machine-learning machine-learning-algorithms matplotlib matplotlib-pyplot numpy pandas scikitlearn-machine-learning tensorflow
Last synced: 09 Apr 2026
https://github.com/mogankumar/virtual-mouse
A Python-based Virtual Mouse that uses hand gestures for cursor control, clicking, scrolling, and taking screenshots. Powered by OpenCV, PyAutoGUI, and a custom hand tracking module for a touch-free experience.
autopy numpy opencv pyautogui python3
Last synced: 10 Apr 2026
https://github.com/shwetapardhi/assignment-04-simple-linear-regression-2
Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.
correlation-analysis data-visualization distplot eda feature-engineering model-building model-predictions model-template numpy ols-regression p-value pandas python r-square-values regression-plot seaborn simple-linear-regression smf statsmodels t-score
Last synced: 08 May 2026
https://github.com/shwetapardhi/assignment-03-q2--hypothesis-testing
Anova ftest statistics A hospital wants to determine whether there is any difference in the average Turn Around Time (TAT) of reports of the laboratories on their preferred list. They collected a random sample and recorded TAT for reports of 4 laboratories. TAT is defined as sample collected to report dispatch. Analyze the data and determine wheth
annova ftest hypothesis-testing numpy pandas python scipy significance-testing stats
Last synced: 11 Apr 2026
https://github.com/sahil210695/gradient-descent
A simplified explanation of gradient descent for linear regression in python using numpy
gradient-descent gradient-descent-algorithm linear-regression matplotlib mini-batch-gradient-descent numpy python stochastic-gradient-descent
Last synced: 03 May 2026
https://github.com/aneeshmurali-n/project-ml-data-preprocessing
The main objective of this project is to design and implement a robust data preprocessing system that addresses common challenges such as missing values, outliers, inconsistent formatting, and noise. By performing effective data preprocessing, the project aims to enhance the quality, reliability, and usefulness of the data for machine learning.
data-analysis data-cleaning data-encoding data-exploration feature-scaling label-encoding matplotlib minmaxscaler numpy one-hot-encoding outlier-detection pandas standardscaler
Last synced: 02 May 2026
https://github.com/bropenguin847/python-learning
Learning Python for Scientific Programming. Intended for beginners with some knowledge of Python.
array-manipulations convolution jupyter matlab matplotlib-pyplot numpy pandas-python pep8 python python3 scientific-programming scipy spyder-ide vscode
Last synced: 13 Apr 2026
https://github.com/udacity-machinelearning-internship/support-vector-machine
Implementing SVM's using pandas and sklearn in python
numpy pandas sklearn support-vector-machines svm
Last synced: 13 Apr 2026
https://github.com/olfabelhadj/etude-de-sante-publique-avec-python
OpenClassrooms parcours Data Analyst Projet 4
acp clustering matplotlib-pyplot numpy pandas plotly-express scipy seaborn sklearn
Last synced: 13 Apr 2026
https://github.com/rajan-bhateja/data-analysis-with-python
Cleaning, analysis and visualization on various datasets using Python and its various libraries via Jupyter Notebook
data-cleaning data-science jupyter-notebook matplotlib numpy pandas python seaborn
Last synced: 30 Apr 2026
https://github.com/muhkartal/xai_dashboard
an interactive AI dashboard for machine learning model analysis and explainability, supports model training, dataset exploration, feature importance analysis, and SHAP-based explanations for both individual predictions and overall model behavior, compare multiple models, visualize insights, and export results seamlessly
joblib numpy pandas python sckit-learn shap streamlit xgboost
Last synced: 04 May 2026
https://github.com/szymon-budziak/fundamentals_of_deep_learning
Fundamentals of Deep Learning NVIDIA course.
deep-learning machine-learning numpy nvidia pandas python tensorflow
Last synced: 10 Apr 2026
https://github.com/sadia-khan13/data-preprocessing
Welcome to the Data preprocessing Repository! This repository is dedicated to showcase the comprehensive resources and implementations related to Data Preprocessing using Python and Jupyter Notebook.
artificial-intelligence data-analysis data-mining data-preprocessing data-science jupyter-notebook matplotlib numpy pandas python seaborn-python sklearn
Last synced: 11 Apr 2026
https://github.com/ryan-bendelson/2024-summer-research
This is Python code that I worked with during my summer 2024 research project involving quantum physics.
density-matrices kronecker-product linear-algebra miniconda3 numpy numpy-arrays partial-trace python quantum-information
Last synced: 16 Apr 2026
https://github.com/1adityakadam/uber_data_analytics
End to end Google Bigquery + Looker Studio Data Analytics Project Transforming NYC Taxi Data into Actionable Intelligence
bigquery looker-studio mage-ai-pipeline numpy pandas sql
Last synced: 13 Apr 2026
https://github.com/ot-code/coca-cola-stock-prediction
This repo compares four predictive models—Linear Regression, ARIMA, XGBoost, and LSTM—to forecast Coca‑Cola FEMSA stock closing prices using Python and five years of historical data.
arima csv linear-regression lstm-neural-networks mae matplotlib mse numpy pandas python r2 scikit-learn seaborn tensorflow-keras xgboost
Last synced: 13 Apr 2026
https://github.com/csengupta1101/netflix-rating
The project revolves around Netflix shows and movies around the world. The problem statement that is being tried to address here is that what kind of show to come up with in future times and how well that will fit with the audience
jupyter-notebook matplotlib movies netflix numpy pandas plotly python python3 rating tvseries
Last synced: 13 Apr 2026
https://github.com/sadegh15khedry/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: 27 Feb 2025
https://github.com/abhisek-13/whatsapp-chat-analyzer
The WhatsApp Chat Analyzer is a data analysis project that provides insights into WhatsApp chats. It analyzes chat data to show metrics like the number of lines, most used letter, chatting duration, media files shared, most used emojis, and group member activity. The results are displayed on a user-friendly dashboard built with Streamlit.
data-analysis data-mining data-visualization eda machine-learning machine-learning-algorithms matplotlib numpy pandas python seaborn sklearn
Last synced: 13 Apr 2026
https://github.com/munawar-code/car_price_predictor
This project is a ML-based car price prediction system. The model is built using Jupyter Notebook for training and evaluation, while a simple one-page website was developed using Pycharm to provide interface for users to input car details and get price predictions.
datapreprocessing datavisualization exploratory-data-analysis feature-engineering flask-application html-css-javascript linear-regression machine-learning-algorithms matplotlib numpy pandas python scikitlearn-machine-learning
Last synced: 13 Apr 2026
https://github.com/5hraddha/eda-instacart-customers-shopping-habits
In this Exploratory Data Analysis (EDA) project we'll clean up the data and prepare a report that gives insight into the shopping habits of Instacart customers.
data-visualization exploratory-data-analysis instacart matlpotlib numpy pandas
Last synced: 13 Apr 2026
https://github.com/thanhloc81/rfm-model-project
✨ Build a flow to deploy Segmentation evaluation through Python programming.
customer-segmentation numpy pandas python rfm-analysis
Last synced: 03 May 2026
https://github.com/paulo-freitas-junior/ifood-dev-week2023
Repositório sobre a Dev Week iFood sobre uso de Python e Inteligência Artificial para realização de cálculo de NPS ( Net Promoter Score ) e a utilização de IA para análise de sentimentos dos comentários usando tecnologia do ChatGPT-4.
bert chatgpt colab-notebook matplotlib nltk numpy pandas python textblob-sentiment-analysis
Last synced: 13 Apr 2026
https://github.com/jkosla/neural_network_from_scratch_numpy
Neural Network From Scratch in Python | Build a simple neural network from scratch using pure Python and NumPy. Learn about forward propagation, backpropagation, and training with gradient descent. Accompanies my Medium article.
ai aritificial-intelligence medium nerual-networks numpy python3 tutorial
Last synced: 10 Apr 2026
https://github.com/pedasoft-consult/multi_class_text_classification
Multi-Class Text Classification for News Headlines
keras matplotlib-pyplot nltk numpy pandas seaborn sklearn tensorflow
Last synced: 09 Apr 2026
https://github.com/enoobis/conwaygolg
Conway's Game of Life Generator
conway conway-life conway-s-game-of-life conway-sgame conways-game conways-game-of-life game-of-life numpy python
Last synced: 19 May 2026
https://github.com/mstrlc/iss-project
FIT VUT – ISS – signal processing - synthesizing and resynthesizing of a MIDI keyboard
fit iss matplotlib numpy python scipy signal-processing vut
Last synced: 11 Mar 2025
https://github.com/cyb3r-jak3/docker-alpine-pandas
Python alpine image with pandas, and numpy installed
alpine-image numpy pandas-python python-alpine
Last synced: 30 May 2026
https://github.com/anshpg/linearluminary
Greetings! I've developed a straightforward linear regression model from scratch to predict house prices in Bangalore. But before delving into coding, let me walk you through the algorithm's conceptualization. I considered various factors such as location, ocean proximity, plot size, finished state, and flat type.
algo linea mathematics matplotlib numpy pandas pyth
Last synced: 13 May 2026
https://github.com/arrnikhilchauhan/book-recommendation
This Book Recommendation System is designed to provide personalized book suggestions based on user ratings and interaction. By leveraging the power of Pandas and NumPy, it filters and processes data efficiently, ensuring that recommendations are relevant and tailored to the user’s preferences
Last synced: 15 Apr 2026
https://github.com/leogaudin/python_piscine_for_data_science
42 • Python Piscine for Data Science
42 data-science matplotlib numpy oop pandas piscine python
Last synced: 13 Apr 2026
https://github.com/nirmaldeepponnada/codeclauseinternshipproject2
Python, NLTK, Scikit-Learn, Pandas, NumPy, Pickle, SciPy, and JSON are used for text preprocessing, feature engineering, multi-label classification, and model persistence.
nltk numpy pandas pickle python scikit-learn scipy
Last synced: 07 Apr 2026
https://github.com/mariacarolinass/processamento-imagem
Processamento de Imagens com OpenCV
cv2 gradio gradio-interface huggingface matplotlib numpy opencv python
Last synced: 18 Apr 2026
https://github.com/aniruddhakhedkar/eda_for_chinese_automotive_company_teclov_chinese
Exploratory_Data_Analysis_Python_Project_1
datavisualization duplicate-detection imputation-methods numpy outlier-removal pandas seaborn statistical-analysis
Last synced: 10 Apr 2026
https://github.com/farhad-here/median-performance-comparison
Benchmarking the performance of median calculation using vanilla Python vs NumPy.
data-analysis matplotlib numpy python
Last synced: 18 Apr 2026
https://github.com/leftcoastnerdgirl/supervised_learning
This project demonstrates supervised machine learning using scikit-learn.
classification-reports confusion-matrix jupyter-notebook numpy pandas-python pathlib scikit-learn sklearn
Last synced: 16 Apr 2026
https://github.com/niel0503/probabilidade-e-amostragem
Desafio desarrollado para el bootcamp de WoMakersCode
estadistica matplotlib numpy pandas stats
Last synced: 18 Jan 2026
https://github.com/snigdho8869/clustering-projects
Repository for various clustering projects including mall customer segmentation and more. Explore data analysis and clustering techniques
cluster-analysis clustering clustering-algorithm customer-segmentation deep-learning gaussian-mixture-models hierarchical-clustering hierarchical-models kmeans-algorithm kmeans-clustering machine-learning mall-customer-segmentation mall-customers numpy pandas scikit-learn segmentation spectral-clustering tensorflow
Last synced: 10 Apr 2026
https://github.com/jol79/python_exercises
Solving interesting python exercises on different topics
matplotlib-pyplot numpy pandas python3 pythonexercises scikit-learn seaborn
Last synced: 10 Apr 2026
https://github.com/patilsukanya/assignment-3-hypothesis-testing
Used libraries and functions as follows:
alternate-hypothesis annova chi2-contingency contingency-analysis ftest hypothesis-testing norm null-hypothesis numpy numpy-arrays pandas pvalue python scipy significance-testing stats
Last synced: 10 Apr 2026
https://github.com/rishabhmathur06/pytorch
This repository contains codes related to the PyTorch tutorial provided by Patrick Loeber
neural-network numpy pandas python pytorch sklearn
Last synced: 13 Apr 2026
https://github.com/rahulchouhan1/spotify-most-popular-songs-data-analysis
🎵 Spotify Songs Analysis using Pandas
Last synced: 16 Apr 2026
https://github.com/geetu040/fetcher
AI GAME: We have a random maze and 2 agents at random places. You control the Fetcher and find the way through the maze to get ot the target. You can automate the Fetcher to use trained models that help Fetcher fetch the target by itself. The models are based on deep neural networks, implemented by tensorflow and Keras API. The models are so efficiently trained, they find ways through the maze without hitting the walls and have an accuracy of more than 99%
artificial-intelligence css deep-learning html javascript jupyter-notebook machine-learning matplotlib neural-networks numpy python sklearn tensorflow web-design
Last synced: 13 Apr 2026
https://github.com/aaaastark/wordassociation-mutualinformation-nlp-project
Word Association and Mutual Information Project
gensim machine-learning matplotlib natural-language-processing nlp nltk numpy pandas python seaborn sklearn wordcloud
Last synced: 13 Apr 2026
https://github.com/fabriziomusacchio/ann_with_numpy
A how-to for building an artificial neural network from scratch using NumPy
ann artificial-neural-networks neural-network numpy
Last synced: 08 May 2026
https://github.com/shivammg/coursera-ml-numpy
Coursera Machine Learning course done using Python, NumPy, and Seaborn
machine-learning numpy python seaborn
Last synced: 09 May 2026
https://github.com/vijaykumarr1452/startup_success_predictor
This project demonstrates the use of Multiple Linear Regression to predict the profits of startups based on investment in R&D, Administration, and Marketing of dataset (50_Startups.csv)
machine-learning multi-linear-regression numpy pandas python regression rsquare-values scikit-learn
Last synced: 10 Apr 2026
https://github.com/shreeparab1890/heart-attack-analysis-prediction-accuracy-85.24
This iPython Notebook implements the Analysis and Predictions for Heart Attack. The Analysis is done on the dataset to identify the key features which has a impact on Heart Attack. After the analysis and data cleaning, the dataset is used to train the model using different ML algorithm.
eda exploratory-data-analysis matplotlib numpy pandas plotly prediction python scikit sklearn
Last synced: 13 Apr 2026
https://github.com/ameykasbe/credit-card-fraud-detection-on-imbalanced-dataset
Examined data preprocessing techniques and performance of six different predictive models in Python to credit card fraud detection problem on an imbalanced dataset. Algorithms implemented - Logistic Regression, K Nearest Neighbours, Support Vector Classification, Naïve Bayes Classifier, Decision Tree Classifier, and Random Forest Classifier.
classification machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 10 Apr 2026
https://github.com/amruta33/housing_price_prediction
Consider a real estate company that has a dataset containing the prices of properties in the Delhi region. It wishes to use the data to optimise the sale prices of the properties based on important factors such as area, bedrooms, parking, etc.
linear-regression numpy pandas python rfe vif
Last synced: 28 Apr 2026
https://github.com/amruta33/heart_disease_prediction
predict whether a person has a heart disease or not.
classification decision-trees gridsearchcv heart-disease hyperparameter-tuning male-female numpy pandas
Last synced: 30 Mar 2025
https://github.com/nyx1311/toxicity-detector-using-bilstm
🚀 What we built: An AI-powered Women’s Safety & Well-Being Detector — a web app that flags multiple forms of online abuse in real time and offers tools for emotional recovery. 📊 Under the hood: BiLSTM + Word2Vec embeddings for deep, context-aware detection Trained on 21K+ labeled comments across 7 toxicity categories Built with Python, Tensor
epoch genism gpu keras-tensorflow matplotlib model nlp nlp-machine-learning nlpaug-textual numpy pandas pandas-library python3 streamlit tensorflow word2vec
Last synced: 14 Apr 2026
https://github.com/pythonhealthdatascience/stars-reproduce-lim-2020
Assessing the computational reproducibility of Lim et al. 2020 as part of STARS.
covid-19 covid19 discrete-event-simulation numpy open-science pandas python quarto reproducibility reproducible-research simulation
Last synced: 13 Apr 2026
https://github.com/lesiaukr/mathematic_for_cs_colab_hw
Master's degree | HW | Mathematics for Computer Science course | Homeworks
goit google-colab home-works latex linear-algebra mathematics-for-computerscience matrices numpy python vectors
Last synced: 13 Apr 2026
https://github.com/reshmaaiman/fifa
FIFA20
data data-science data-visualization dataanalysisusingpython github jupyter-notebook matplotlib numpy pandas python seaborn-python
Last synced: 10 Apr 2026
https://github.com/ahmedabdalkreem/healty-care
The Complete project using neural network to arrive the best healt know he is stoke or not.
matplotlib neural-network numpy pandas python3 sklearn-library
Last synced: 13 Apr 2026
https://github.com/jbayardo/dip-tps
coursework image-processing introduction jupyter-notebook matplotlib notebook numpy python scikit-image scipy
Last synced: 13 Apr 2026
https://github.com/aathithya-shanmuga-sundaram/cyber-threat-intelligence-dashboard
Interactive Streamlit dashboard for visualizing and analyzing cyber threats, featuring real-time data insights, severity classification, geolocation mapping, and customizable dark-cyber UI.
cyber-threat-intelligence cyber-threat-tool cybersecurity cybersecurity-tools data-visualization dataset numpy pandas plotly python streamlit threat-intelligence
Last synced: 10 Nov 2025
https://github.com/smirnovlad/data-science-notebooks
A collection of various data analysis approaches
data-science deep-learning kaggle machine-learning numpy pandas pytorch
Last synced: 10 Apr 2026
https://github.com/broodhoney/heart-disease-prediction
This is a machine learning project which has a trained model that classifies whether a patient has a heart-disease or not.
kaggle-dataset matplotlib numpy pandas python scikit-learn scikitlearn-machine-learning uci
Last synced: 10 Apr 2026
https://github.com/mmerlyn/analysis-of-tomato-prices
Forecasting tomato prices in Karnataka using machine learning to help farmers make better crop planning and selling decisions.
css flask html matplotlib numpy pandas python scikit-learn seaborn
Last synced: 06 Jul 2025
https://github.com/takana671/partiallytransparentimage
A simple tool to make an image partially transparent
geomipterrain numpy opencv pillow python3 transparent-image
Last synced: 07 May 2026
https://github.com/laurencewarne/eratosthenes
Random implementations of the sieve of Eratosthenes
algorithm eratosthenes numpy python3
Last synced: 16 Apr 2026
https://github.com/sunnyrao07/stroke-risk-prediction
Predicting stroke risk using machine learning models based on healthcare and demographic data.
data-cleaning data-visualization decision-trees feature-engineering label-encoding matplotlib model-evaluation numpy outlier-detection pandas python random-forest scikit-learn seaborn standard-scaler
Last synced: 10 Apr 2026
https://github.com/marcow2812/zuse-projekt
Python-basierte Software zur Projektion von 3D-Objekten auf einen Würfel
augmented-reality numpy opencv-contrib python
Last synced: 16 Apr 2026
https://github.com/littie28/hazy-frames
Hierarchical coordinate frames - crystal clear transforms
3d coordinate-systems geometry numpy python reference-frames scipy transformations
Last synced: 18 Apr 2026
https://github.com/dineshdhamodharan24/amazon-reviews-sentiment-analysis
This is a sentiment analysis project that classifies Amazon product reviews as positive or negative using machine learning techniques.
matplotlib numpy pandas python scikit-learn
Last synced: 10 Apr 2026
https://github.com/gkamboj/image-features-extractor
Detect object in any image along with its features like color, etc.
color-classification connexion feature-extraction flask image-classification image-recognition machine-learning numpy opencv python resnet
Last synced: 16 Apr 2026
https://github.com/sadegh-khedry/titanic-survival-prediction
Predicting Titanic survival using neural networks.
conda-environment jupyter-notebook kersa matplotlib numpy pandas python seaborn sklea supervised-learning tensorflow titanic-kaggle
Last synced: 10 Apr 2026
https://github.com/aiwithqasim/ab-testing-for-shoefly.com
In this project, I had analyzed the data set of SHOEFLY.COM to find out valuable insights to check which platform is more useful for advertisement.
Last synced: 13 Apr 2026
https://github.com/adityakumarda/kmeans-web-analytics
Built with Python, Pandas, and Scikit-learn, this machine learning project uses K-Means to cluster website users by behavior. It reveals patterns in engagement and bounce, helping drive data-informed decisions.
cluster-analysis elbow-curves elbow-method elbow-plot jupyter-notebook kmeans-clustering machine-learning matplotlib numpy pandas python python3 relationship scikit-learn seaborn sklearn
Last synced: 10 Apr 2026
https://github.com/mooseburger1/plotting-and-analyzing-weather-trends-gis-temp-data-
Plotting and Analyzing GIS Temperature Data from 1880 to Present
data-science data-visualization matplotlib numpy pandas-dataframe python-3
Last synced: 13 Apr 2026
https://github.com/ksasi/customer_segments
machine-learning numpy pandas python scikit-learn
Last synced: 10 Apr 2026
https://github.com/danny-1k/nnpy
Neural network library written from scratch in numpy
deep-learning neural-networks-from-scratch numpy python
Last synced: 17 May 2026
https://github.com/spear97/montecarlo-simulaton
This project involved developing a Monte Carlo Simulation using Python, implemented with libraries like NumPy, Pandas, and Matplotlib within Visual Studio. The program's primary goal is to generate figures illustrating compound interest results over time for a specified amount.
data-science matplotlib matplotlib-figures numpy pandas-python python python-3 python3
Last synced: 13 Apr 2026
https://github.com/harshs472/real-time-object-detection
Real time object detection that detects approximately 80 objects!!!!
Last synced: 27 Apr 2026
https://github.com/tkc/node-neural-network
Built with only pure typescript, neural network iris sample.
javascript machine-learning neural-network node numpy typescript
Last synced: 09 Apr 2026
https://gitlab.com/DLR-SY/mcodac
MCODAC is a Fortran library for the numerical evaluation of fiber composite damage. The library contains analysis methods specifically tailored to fiber composites, from micromechanical homogenization approaches to macroscopic fatigue models of orthotropic multilayer composites.
Last synced: 02 Apr 2025
https://github.com/parthshah02/customer_churn_dashboard
This repository features a comprehensive project showcasing data analysis and interactive dashboard using Python
data-analysis matplotlib numpy pandas python
Last synced: 13 Apr 2026
https://github.com/rlxchap2/crypto-miner
🔨Crypto Miner is a Python project designed to encrypt and decrypt files, especially images, using the powerful cryptography library
crypto cryptography csv numpy pillow python
Last synced: 08 May 2026
https://github.com/lingesh81051/similar-template-document-matching-and-fraud-detection
An automated system for a health insurance company to streamline document processing, including template matching and fraud detection, resulting in reduction of processing time.
numpy opencv opencv-python pillow pymupdf pytesseract pytesseract-ocr python tkinter
Last synced: 13 Apr 2026
https://github.com/subratamondal1/heart-attack-prediction
Heart Attack Prediction of patients based on the required data. Data Ingestion - Data Preparation - Exploratory Data Analysis (EDA) - Modelling - Evaluation.
data-analysis data-science data-visualization kaggle-dataset machine-learning matplotlib-pyplot numpy pandas python3 scikit-learn seaborn
Last synced: 09 Apr 2026
https://github.com/ramarav/house_price_prediction
Machine learning approach for house price prediction using tensorflow.
jupyter-notebook jupyter-notebooks keras keras-models keras-neural-networks keras-tensorflow numpy python python-3 python3 tensorflow
Last synced: 10 Apr 2026
https://github.com/cartabinaria/calcolo-numerico
Una raccolta di risorse per l'insegnamento di Calcolo numerico (02023) del Corso di Laurea in Informatica.
course maths numerical-methods numpy scipy uni
Last synced: 20 Jan 2026
https://github.com/sarmad426/python
Python mastery. OOP | Numpy | Pandas | Jupyter Notebook & more.
fastapi file-handling-in-python jupyter numpy oop pandas pytest python regex unit-tests
Last synced: 10 Apr 2026
https://github.com/bearddan2000/python-web-3d-matplotlib-surface-graph
A demo of creating a 3d surface graph.
3d graph matplotlib numpy pandas python surface web
Last synced: 10 Apr 2026