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/607011/1dollar
Simulation of a counterintuitive distribution problem
animation go golang matplotlib numpy plot python3 simulation statistics
Last synced: 09 May 2026
https://github.com/rishraks/color-object-detection
This project enables real-time detection of user-defined color objects using a webcam. Users enter a color name, and the program identifies objects matching that color by converting it to its HSV range, applying a mask, and detecting contours. It's a practical tool for object tracking, sorting, and interactive applications.
computer-vision numpy opencv pillow-library
Last synced: 11 Apr 2026
https://github.com/codehass/facial-emotional-detection
Implement a complete AI pipeline in Computer Vision, from face detection to emotion classification using CNNs (TensorFlow/Keras) and Haar Cascades (OpenCV), and integrate this model into a FastAPI API connected to a PostgreSQL database.
cnn-model fastapi keras mathplotlib numpy opencv postgresql pydantic pytest sqlalchemy tensorflow
Last synced: 12 Apr 2026
https://github.com/manjillama/machine-learning-101
Introduction to machine learning, conda environment, Jupyter Notebook, Pandas, NumPy and Matplotlib.
conda-environment jupyter-notebook machine-learning matplotlib numpy pandas python
Last synced: 13 Apr 2026
https://github.com/jesussantana/ibm-skills-courses
IBM Data Science, Machine Learning & Deep Learning Courses to Increase your Skills Development
analysis classification clustering data-mining data-science deep-learning folium machine-learning matplotlib npl numpy pandas python3 regression-models seaborn sklearn supervised-learning unsupervised-learning visualization web-scraping
Last synced: 11 Apr 2026
https://github.com/mithileshk11/steganography-app-aicte-internship-cybersecurity-edunet-foundation
Secure Image Steganography App : This Streamlit-based Steganography App lets you securely encrypt and decrypt messages in images using the Least Significant Bit (LSB) technique. Messages remain invisible unless unlocked with the correct password.
hashlib numpy opencv3 python streamlit-webapp
Last synced: 28 Apr 2026
https://github.com/ngirimana/data-analyis-project
data-science matplotlib numpy pandas python seaborn
Last synced: 28 Apr 2026
https://github.com/simranjeet97/quotes-analysis
Kaggle Dataset on Quotes Analysis and Visualization With Python, Pandas and MatplotLib Using Jupyter Notebook.
data data-science datavisualization jupyter-notebook kaggle kaggle-dataset machine-learning matplotlib-pyplot numpy pandas python quotes quotes-application
Last synced: 15 Apr 2026
https://github.com/amirhnajafiz-university/s7dc01
Final project of Data Communications course
data-communication matplotlib modulation numpy python scipy signal signal-processing
Last synced: 11 Apr 2026
https://github.com/rooneyrulz/movie-recommender-system
Movie recommendation system using Machine learning
cosine-similarity jupyer-notebook machine-learning movie-recomendation-system numpy pandas python3 recomender-system vectorization
Last synced: 11 Apr 2026
https://github.com/amishmathur1/resumeats
✨ With Resume ATS Analyzer, users can improve their resume quality, boost ATS compatibility, and increase their chances of landing interviews — all with smart AI assistance.
express-python matplotlib-python nltk nltk-python numpy openai-api pandas plotly plotly-dash plotly-express pypdf2 python streamlit wordcloud
Last synced: 11 Apr 2026
https://github.com/vtramo/neural-networks-experiments-from-scratch
The objective of this repository is to provide a learning and experimentation environment to better understand the details and fundamental concepts of neural networks by building neural networks from scratch.
activation-functions backpropagation batch-learning classification-problem early-stopping gradient-based-algorithm improved-resilient-backpropagation irprop kfold-cross-validation minibatch momentum neural-network numpy online-learning python python3 resilient-backpropagation rprop softmax stochastic-gradient-descent
Last synced: 28 Apr 2026
https://github.com/pradipece/insurance_data_analysis_ml
This project approach defines the terms machine learning and linear regression ML algorithm in the context of real-time problem-solving.
data-science data-visualization database machine-learning matplotlib numpy pandas python python3
Last synced: 11 Apr 2026
https://github.com/princeofpuppers/qbot
A Domain-Specific Programming Language for Analyzing Quantum Algorithms
esoteric-language numpy probabilistic-programming quantum-computing quantum-programming-language
Last synced: 28 Apr 2026
https://github.com/datarohit/car-evaluation--classification
This is a Kaggle Dataset where we classify the cars using their various features. Here I used plotly to visualize the Accuracy Scores. Also I used CrossValScore to get More accurate Accuracy Score.
classification-algorithm cross-validation-score machine-learning matplotlib-pyplot numpy pandas sklearn
Last synced: 28 Apr 2026
https://github.com/nemeslaszlo/dog_breed_identification
Dog breed identification model to identify and label 120 different dog breeds.
matplotlib numpy pandas tensorflow tensorflow-hub
Last synced: 13 Apr 2026
https://github.com/Vice777/SAFE-HEART
Classify the chances of having a Heart Attack based on your Heart's Condition.
kaggle machine-learning matplotlib mlfromscratch mlp-classifier multilayer-perceptron-network numpy pandas pickle streamlit streamlit-webapp
Last synced: 11 Mar 2025
https://github.com/moataz-elmesmary/analog-clock-opencv
Computer vision project implemented with OpenCV
computer-vision cv2 numpy opencv
Last synced: 07 May 2026
https://github.com/lironmiz/machine-learning-specialization-course
Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng
artificial-neural-networks clustering coursera decision-trees deep-reinforcement-learning gradient-descent linear-regression logistic-regression logistic-regression-classifier machine-learning ml-models numpy project recommender-system regularization-methods scikitlearn-machine-learning supervised-learning tensorflow tree-ensembles xgboost
Last synced: 03 May 2026
https://github.com/cusyio/datenverarbeitung-mit-numpy
Kurs zum Schreiben und Optimieren eigener Programme zur Datenverarbeitung mit Numpy.
Last synced: 08 Jun 2026
https://github.com/satvikpraveen/fashionmnist-analysis
A comprehensive analysis of the Fashion MNIST dataset using PyTorch. Covers data preparation, EDA, baseline modeling, and fine-tuning CNNs like ResNet. Includes modular folders for data, notebooks, and results. Features CSV exports, visualizations, metrics comparison, and a requirements.txt for easy setup. Ideal for ML workflow exploration.
computer-vision confusion-matrix convolutional-neural-networks deep-learning-algorithms exploratory-data-analysis fashion-mnist-dataset fine-tuning hyperparameter-tuning image-classification jupyter-notebook machine-learning-algorithms matplotlib-pyplot model-evaluation numpy pandas pytorch resnet-18 scikit-learn seaborn vgg
Last synced: 22 Apr 2025
https://github.com/adalbertobrant/macd
Estudando sobre o uso do streamlit com geração de gráficos e dados da B3
bovespa box-plot golden-cross macd numpy python single-moving-average steamlit stocks
Last synced: 07 Feb 2026
https://github.com/gandhasiri-rahul-mohan/random-forests-q2-company_data
About the data: Let’s consider a Company dataset with around 10 variables and 400 records.
data-science machine-learning numpy pandas python random-forest seaborn-plots
Last synced: 07 Apr 2026
https://github.com/guifernandess7/megasena-estatisticas-e-analises
Análises e Estatísticas dos jogos da megasena com base em todos os jogos que já ocorreram.
Last synced: 29 Apr 2026
https://github.com/epsoft/traffic
traffic
cv2 numpy os sklearn sys tensorflow traffic
Last synced: 11 Apr 2026
https://github.com/arkapg211002/data-analysis-prac
Data analysis practice
excel matplotlib-pyplot numpy pandas powerbi tableau
Last synced: 29 Apr 2026
https://github.com/kartikeya443/handgesture_detection_opencv
A Computer Vision based model trained on data sets of over 300 inputs for a particular gesture is able to detect and identify human hands gestures effortlessly and is able to track the coordinates for further modifications in its usage for controlling devices like mouse and windows (control features are in development).
deep-learning mediapipe numpy opencv tensorflow
Last synced: 11 Apr 2026
https://github.com/elissorokin/data-analyst-portfolio-rus
Это репозиторий, в котором я демонстрирую свои навыки, делюсь проектами и отслеживаю прогресс в области анализа данных и Data Science.
ab-testing data data-analysis datalense matplotlib numpy pandas plotly portfolio postgresql python scipy seaborn sql statistical-analysis
Last synced: 25 Feb 2026
https://github.com/avs123a/image-color-spaces-morphology-demo
Simple demo that shows extracting RGB and HSV channels, converting from RGB to HSV and reverse converting. There are 4 main morphological operations used: erosion, diletion, opening and closing image
demo image-processing jupyter-notebook numpy opencv python3
Last synced: 05 May 2026
https://github.com/alibowndyn/flickerforge
A customizable image and GIF generator mimicking old television static, offering control over colors, blur, dimensions, pixel size, and many more.
Last synced: 05 May 2026
https://github.com/cchandre/kh
Kramers-Henneberger reductions of Hamiltonian dynamics
amo attosecond-physics averaging hamiltonian kramers-henneberger matlab numpy schrodinger-equation strong-field-ionization tdse
Last synced: 29 Apr 2026
https://github.com/asanka-j/machine_learning_exercises
Machine learning Self study Python & R
matplotlib numpy pandas python r sklearn
Last synced: 12 Apr 2026
https://github.com/eljandoubi/huggingface_image_classifier
Fine-tune the Vision Transformer (ViT) using LoRA and Optuna for hyperparameter search.
huggingface-datasets huggingface-optuna huggingface-peft huggingface-transformers hyperparameter-optimization image-classification numpy pytorch visual-transformer
Last synced: 10 May 2026
https://github.com/ashar97/financial-engineering
Financial Engineering Practicum Assignments
financial-engineering matlab numpy pandas python r yahoo-finance
Last synced: 11 Apr 2026
https://github.com/palak-463/tablataalrecognitionsystem
Software built using Python which makes use of CNN and FNN to detect the Taals of the Tabla, an Indian classical music instrument. 🎛️
cnn deep-learning flask fnn librosa numpy os pickle python scikit-learn
Last synced: 11 Apr 2026
https://github.com/soumya6tiwari/customer-segmentation-using-rfm-analysis
This project focuses on customer segmentation using RFM (Recency, Frequency, Monetary) analysis and K-Means clustering. It enables businesses to identify high-value customers, optimize marketing strategies, and improve customer retention through data-driven insights.
backend clustering flask frontend kmeans-clustering matplotlib numpy pandas python rfm-analysis scikit-learn unsupervised-learning
Last synced: 16 Feb 2026
https://github.com/andrehaguiar/pos-graduacao-inteligecia_artificial-ciencia_de_dados
Cronograma do curso
ciencia-de-dados dados matplotlib-pyplot numpy orange pandas python scipy sklearn
Last synced: 11 Apr 2026
https://github.com/mahboobehad/ocausal
Outlier Causal Relations
causality-analysis datamining networkx notebook numpy outlier-detection python
Last synced: 14 Apr 2026
https://github.com/prithivsakthiur/qwen-image-edit-2509-loras-fast
Qwen-Image-Edit-2509-LoRAs-Fast is a high-performance, user-friendly web application built with Gradio that leverages the advanced Qwen/Qwen-Image-Edit-2509 model from Hugging Face for seamless image editing tasks.
aoti diffusers diffusion-models flash-attention-3 huggingface-spaces huggingface-transformers kernel numpy peft python pytorch qwen-image-edit qwen-image-edit-2509 qwen2-5-vl qwen3-vl torch torchvision
Last synced: 03 May 2026
https://github.com/mardavsj/numpy-in-python
The fundamentals of Python NumPy Library.
analysis-tool data-manipulation numpy numpy-arrays numpy-matrix python
Last synced: 14 Apr 2026
https://github.com/walkerdustin/vergleich-von-messmethoden-fuer-punktwolken
Bei der Vermessung eines physischen Raumes ist das Ergebnis eine Punktwolke. Diese Punktwolke beschreibt dann ausgewählte Punkte im Raum, zum Beispiel auf den Wänden und der Decke. Wenn diese Punkte in zwei seperaten Messungen gemessen werden, vielleicht sogar von unterschiedlichen Geräten, soll hinterher herausgefunden werden wie genau diese Punktwolken übereinstimmen. Dafür gibt es zwei grundsätzlich verschiedene Methoden. Diese sollen hier verglichen werden.
3d-models accuracy-metrics data-analysis data-visualization kaggle measure-distance numpy point-cloud pointcloudprocessing punkte python science-research simulation statistics
Last synced: 11 Apr 2026
https://github.com/oriyarden/binary-multiclassificationneuralnetworksfromscratchnumpyarraysonlypython
Neural networks for binary and multiple classification from scratch (using only numpy arrays) in Python
artificial-intelligence artificial-neural-networks backpropagation backpropagation-neural-network data-science from-scratch google-colab-notebook iris iris-classification iris-dataset machine-learning neural-networks numpy numpy-arrays object-oriented-programming oop python recurrent-neural-networks
Last synced: 08 May 2026
https://github.com/serratotech/python3-for-finance
Investment fundamentals & data analytics exercises
anaconda conda data-analytics finance ipynb jupyter-notebook numpy pandas python python3 python35
Last synced: 12 Apr 2026
https://github.com/m-faizan-mahmood/detailed-exploratory-data-analysis-eda-marketing-recomendations.
This project focuses on cleaning, preprocessing, and analyzing data using Pandas and NumPy. Key steps include handling missing values, removing outliers, feature engineering, and exploratory data analysis (EDA). Visualizations with Matplotlib and Seaborn highlight trends in customer spending, campaign performance, and product sales.
big-data data-analysis data-processing data-science eda exploratory-data-analysis numpy pandas python
Last synced: 11 Apr 2026
https://github.com/mrtaz77/numerical-analysis
Hub of numerical methods, implemented using python and its data analysis libraries like numpy and matplotlib.
interpolation matplotlib-pyplot newton-raphson numpy regression
Last synced: 19 Jun 2026
https://github.com/urme-b/multimodal-multisensor
Longitudinal neurophysiological study of adult psychometric testing.
keras matplotlib numpy pandas python pytorch scikit-learn seaborn tensorflow
Last synced: 13 Apr 2026
https://github.com/skazemi/genadequacy.jl
Tools for single node generation adequacy analysis
adequacy analysis generation julia numpy power-grids power-systems power-systems-analysis python simulation
Last synced: 09 Apr 2026
https://github.com/tnleite/loan-approval-prediction
Este repositório apresenta um modelo preditivo de aprovação de empréstimos, focado em minimizar o risco de inadimplência. Utilizando EDA e algoritmos de machine learning (Random Forest, XGBoost), ajustamos o threshold para maximizar o recall de inadimplentes, contribuindo para uma gestão de riscos eficiente.
classification-algorithm data-science exploratory-data-analysis machine-learning-algorithms machine-learning-models matplotlib numpy scikit-learn scipy seaborn xgboost-classifier
Last synced: 13 Apr 2026
https://github.com/jpgiant/nyc_energy_prediction
A comprehensive code for predicting energy usage in NYC using Machine Learning Algorithms.
data-analysis data-science data-visualization folium jupyter-notebook machine-learning matplotlib numpy pandas python seaborn sklearn
Last synced: 10 Apr 2026
https://github.com/msikorski93/Linear-Regression-From-Scratch
Different solutions of linear and polynomial regression made from scratch.
from-scratch gradient-descent linear-regression numpy ordinary-least-squares polynomial-regression tensorflow
Last synced: 27 Apr 2025
https://github.com/themusharraf/loan-predictor
fastapi jobl ml numpy pandas sckiit-learn
Last synced: 13 Apr 2026
https://github.com/ivangael/image-toolbox-backend
api-rest flask numpy opencv python tensorflow
Last synced: 28 Apr 2025
https://github.com/dbriane208/python-for-data-science
Machine Learning and Data Science repository. Love crafting Machine Learning models.
data-analysis data-science data-visualization machine-learning numpy pandas python seaborn
Last synced: 13 Apr 2026
https://github.com/ifte-13/early-stage-brain-stroke-detection
Predictive Analysis & Early Detection of Brain stroke using Machine Learning Algorithm
decision-tree imbalanced-learn knn matplotlib numpy pandas random-forest scikit-learn seaborn
Last synced: 06 Jul 2025
https://github.com/shivamkumar818/mbti-personality-prediction-from-text-data
MBTI Personality Prediction from Text Data This project leverages machine learning to predict Myers-Briggs Type Indicator (MBTI) personality types based on textual data, specifically from social media posts.
confusion-matrix correlation-matrix data-visualization dataset knn-classification linear-regression logistic-regression modeltraining navebayes numpy pandas python
Last synced: 13 Apr 2026
https://github.com/iv4n-ga6l/Geometric-ShapesRecognizer-in-image
Geometric shapes recognizer API built in python
api-rest flask numpy opencv python shaperecognitionapi
Last synced: 28 Apr 2025
https://github.com/iv4n-ga6l/Crowd-move-simulation
Crowd move simulation in python
matplotlib numpy python simulation
Last synced: 28 Apr 2025
https://github.com/darkksideyoda/dataminingclass
Data Mining Class 101
artificial-intelligence data-science machine-learning numpy pandas python seaborn
Last synced: 13 Apr 2026
https://github.com/sorabh-kapoor/face-recognition-attendance-system
The Facial Recognition System is an AI-powered application USING FLASK designed to detect and recognize faces with high accuracy. This system can be integrated into various applications, including security systems, attendance management, and identity verification.
flask flask-application knn ml numpy opencv pandas python scikit-learn
Last synced: 13 Apr 2026
https://github.com/vedikasnehil/my-data-science-projects
This repository is a comprehensive collection of resources and implementations dedicated to the field of Data Science. It serves as a platform for exploring various aspects of data science, ranging from data preprocessing and exploratory data analysis (EDA) to machine learning and deep learning.
data data-science deep-learning machine-learning matplotlib numpy python sql visualization
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/yesenvidnath/facerecognitionapplight
This is a face recognition application wich is capable of recognizing a person based on thire face and take attendence from it
face-recognition facent flask numpy python
Last synced: 13 Apr 2026
https://github.com/shwetapardhi/assignment-05-multiple-linear-regression-2
Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in t
collinearity-diagnostics cooks-distance correlation-analysis eda heteroscedasticity homoscedasticity leverage-score multi-linear-regression numpy ols-regression p-value pair-plot python r-square-values regress-exog residual-analysis smf statsmodels vif
Last synced: 09 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/saraasgari99/videoclassificationusingdeeplearning
ML pipeline for biological video analysis using cutting-edge CNN architectures and industry-standard data processing and ML techniques
computer-vision data-processing keras-tensorflow machine-learning numpy sklearn tensorflow
Last synced: 13 Apr 2026
https://github.com/semasuka/saitproj
BMW service recommender system
auto auto-service bmw numpy pandas python recommender-system scikit-learn streamlit
Last synced: 10 Apr 2026
https://github.com/ankitsharma-tech/classification-of-arrhythmia-using-ecg-data
A machine learning project to detect and classify arrhythmias from ECG signals using Python, scikit-learn, and TensorFlow. Includes data preprocessing, model training, and evaluation.
arrhythmia biomedical-signal-processing cardiology classification deep-learning ecg ecg-classification healthcare machine-learning mit-bih-dataset numpy python scikit-learn scipy signal-processing tensorflow time-series-analysis
Last synced: 07 Apr 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/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/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/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/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/jacekkala/statistics_hypothesis_testing
Statistics & Hypothesis Testing in Python
charts hypothesis-testing jupyter-notebook matplotlib numpy pandas python scipy-stats seaborn statistics
Last synced: 11 Feb 2026
https://github.com/dev-mdirfan/recommendation-system-various-approaches
Recommendation System
css flask html javascript machine-learning numpy pandas
Last synced: 10 Apr 2026
https://github.com/nas-research/knowledge-model
Our knowledge system systematically ingests, processes, and indexes open-access life science publications. It supports internal research by providing precise question-answering and efficient retrieval from a continuously updated repository of scientific literature
accelerate aws boto3 dataingestion keras lifesciences llama llama3 llm numpy pymupdf pytorch researchsupport sqlalchemy tensorflow textextraction
Last synced: 10 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/dmarks84/coursework_project_network-analysis-node-link-prediction
Project for University of Michigan Applied Data Science Specialization -- Analyzed network nodes and edges, developing custom features based on various scoring metrics; used features to train classifier model to predict node attribute (employee salary type) and future edges (employee connections)
classification cross-validation data-reporting databases eda grid-search matplotlib network-analysis numpy pandas python scikit-learn statistics supervised-ml visualization
Last synced: 13 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/karthikmprakash/karthikmprakash
Karthik's Portfolio
bs4 data-analysis data-science keras machine-learning numpy pandas portfolio python selenium skills streamlit
Last synced: 13 Apr 2026
https://github.com/balajig-24/titanic_data_analysics-
Project Title: Titanic Survival Prediction Project Overview The Titanic Survival Prediction project is a classic machine learning problem that aims to predict whether a passenger survived the Titanic disaster based on various features such as age, gender, passenger class, and more. This project demonstrates my ability to clean, analyze, and model.
jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn
Last synced: 09 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/waghraj1699/codeclauseinternship_crop_disease_identification
Crop Disease detection app,it predicts wheather the given image of crop has disease or not.
cnn deep-learning machine-learning numpy pandas transfer-learning
Last synced: 13 Apr 2026
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/shailikadakia/yoga-pose-accuracy-detector
Real-time yoga pose accuracy detector using MediaPipe and OpenCV. Classifies poses from webcam input with KNN and provides feedback on duration and accuracy, built with Python and scikit-learn.
computer-vision fitness health-tech knn machine-learning mediapipe numpy opencv pandas pose-estimation python real-time-detection yoga
Last synced: 09 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://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/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/ola-kaznowska/numpy-matrix-arrays
Practice working with the NumPy library and multiple arrays. Copy() and view() functions
Last synced: 18 Apr 2026
https://github.com/suap-dev/python-essentials
a repository intended for people who want to know some python basics
lambda-functions numba numpy oop pandas teaching
Last synced: 17 Mar 2025