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/sweta2501/ml
Consist of ML projects based on Python along with DataSheets
machine-learning matplotlib-pyplot numpy pandas python seaborn sklearn sklearn-model
Last synced: 14 Apr 2026
https://github.com/ramchaik/cinebrain
CineBrain uses ML & NLP to analyze movies and recommend similar ones based on user preferences through cosine similarity.
cosine-similarity flask htmx kaggle machine-learning movie-recomendation-system nlp nltk numpy pandas sklearn tailwind tmdb tmdb-api unsupervised-learning vectorization
Last synced: 19 Jan 2026
https://github.com/jatin-mehra119/paris_housing_price-kaggle-
Paris Housing Price Kaggle Competiton
data data-visualization kaggle-competition machine-learning numpy pandas predictive-modeling scikit-learn
Last synced: 29 Apr 2026
https://github.com/omcodewizard/nasa-battery-analysis
This repository contains code for analyzing battery data from NASA's battery testing dataset. The analysis involves processing battery impedance, electrolyte resistance, and charge transfer resistance across charge/discharge cycles to track the aging and performance of various batteries.
battery-impedence nasa-battery-dataset numpy pandas plotly python
Last synced: 09 May 2026
https://github.com/soumyapro/parkinson-disease-prediction
This project predicts Parkinson's disease using machine learning models.
logistic-regression numpy pandas scikit-learn svc xgboost
Last synced: 19 Jan 2026
https://github.com/sudarshanc00/smishing
This project aims to classify text messages to detect potential smishing (SMS phishing) attacks. Using machine learning, the project provides a classifier that can differentiate between legitimate messages and smishing attempts, helping to prevent scams.
nltk numpy pandas python scikit-learn scipy
Last synced: 14 Apr 2026
https://github.com/charancholaveti/imdb-sentimentanalysis
IMDB Movie Review Sentiment Analysis-It will give the sentiment of the review whether it is Positive or Negative
deeplearning keras numpy rnn-tensorflow tensorflow
Last synced: 14 Apr 2026
https://github.com/ricardorobledo/paymentcardfrauddetection2025
Comparative analysis of probabilistic classification models for credit card fraud detection, focusing on model calibration and threshold optimization in highly imbalanced datasets.
imbalanced-learn matplotlib numpy pandas python3 scikit-learn search
Last synced: 14 Apr 2026
https://github.com/waghraj1699/pokemon-predicton
Predict which type of pokemon it is using CNN
data-science deep-learning keras numpy python tensorflow utils
Last synced: 05 Apr 2026
https://github.com/azaz9026/python_project_for_data_analysis
numpy pandas postgresql python3
Last synced: 14 Apr 2026
https://github.com/dhruvrajsinhzala24/house-price-predictor-ml-model
A machine learning project to predict house prices using linear regression and random forest models. The project leverages housing data to train and evaluate models, comparing their performance using metrics like MSE and R². Visualizes actual vs. predicted prices to assess model accuracy.
linear-regression machine-learning matplotlib ml numpy pandas python random-forest-regression sklearn
Last synced: 14 Apr 2026
https://github.com/ricky9667/taiwanoceantrashpredict
A very simple DNN project using Keras.
Last synced: 14 Apr 2026
https://github.com/gayatri018/ab-testing-marketing-campaign
This project involves conducting A/B testing to evaluate the performance of two marketing campaigns: Facebook Ads and Google Adwords for an online retail business. The primary goal is to determine which campaign is more effective in driving user engagement and conversions, helping the company optimize its marketing strategies.
ab-testing linear-regression matplotlib numpy pandas python scipy seaborn sklearn-
Last synced: 10 Apr 2026
https://github.com/zahediparsa/nlp_ta_uok
This repository contains exercises designed for students in the Natural Language Processing (NLP) course at the University of Kurdistan, taught by Dr. Fatemeh Daneshfar. The course took place from February 2024 to July 2024.
cbow jupyter-notebook matplotlib nlp nltk numpy pandas python tf-idf
Last synced: 19 Jan 2026
https://github.com/umesh-01/python
Python is a programming language that lets you work more quickly and integrate your systems more effectively. Python is used for web development, AI, machine learning, operating systems, mobile application development, and video games.
ai application-development artificial-intelligence deep-learning machine-learning matpotlib ml nlp numpy open-source pandas python python-framework python-libraries python3 web-development
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https://github.com/sayidmushtaq/reportcard
Tracking and analyzing student grades. It calculates averages, identifies top performers, and generates performance reports with ease.👨🏼🎓👨🏼🎓
begginer-project numpy reporting-tool
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https://github.com/nikita620/churn-prediction-using-machine-learning-
Major project on Python and AI
decision-tree-classifier matplotlib numpy pandas pickle python random-forest-classifier xgboost-classifier
Last synced: 28 Apr 2026
https://github.com/jlmsc/gaussian-elimination
Python implementation of the Gaussian Elimination method for solving systems of linear equations.
algorithms back-substitution educational gaussian-elimination linear-algebra linear-systems math matrix numerical-methods numpy pysimplegui python row-echelon-form scientific-computing sympy
Last synced: 31 May 2026
https://github.com/angelarreola/ai_notes
Notas de la materia "Inteligencia Artificial" para su posterior extraccion mediante algun modelo de lenguaje que nos permita dar respuestas personalizadas con base a la informacion presente en este repositorio.
ai matplotlib numpy pandas phaserjs python scikit-learn
Last synced: 21 Jan 2026
https://github.com/chandkund/sms-spam-detection
The goal is to develop a classification model that can accurately differentiate between spam and non-spam messages. This is crucial for applications like email filtering, SMS spam detection, and improving overall user experience by reducing the influx of unwanted or malicious content.
matplotlib nlp-machine-learning numpy pandas seaborn stemming tfidf-vectorizer tokenization
Last synced: 19 Jan 2026
https://github.com/jsimell/sleepanalysis
A Python data analysis project analyzing the sleep quality affecting factors and temporal patterns in the sleeping data of a single subject.
data-analysis matplotlib numpy pandas python scikit-learn seaborn
Last synced: 14 Apr 2026
https://github.com/abideen-olawuwo/heart-diseases
A Heart diseases Machine Learning classification problem
decision-tree-classifier kneighborsclassifier logistic-regression matplotlib numpy pandas python random-forest-classifier scikit-learn seaborn
Last synced: 14 Apr 2026
https://github.com/petcareai/dba
PetCare DBA Admin é um sistema web avançado desenvolvido especificamente para a administração e gerenciamento de bancos de dados da plataforma PetCare. Esta ferramenta foi criada para simplificar e otimizar o trabalho de administradores de banco de dados (DBAs) em clínicas veterinárias, hospitais veterinários e sistemas de gestão pet.
api dba front-end-development git numpy pandas-dataframe petcareai ploty postgresql python shell-script sql startup streamlit streamlit-webapp supabase supabase-auth supabase-db supabase-storage virtualenv
Last synced: 14 Apr 2026
https://github.com/aniruddhakhedkar/eda_to_evaluate_bank_telemarketing_campaign_for_revenue_enhancement
Exploratory_Data_Analysis_Python_Project_2
datavisualization duplicate-detection imputation-methods numpy outlier-removal pandas seaborn statistical-analysis
Last synced: 27 Jan 2026
https://github.com/abhishekyadav915/multiple_disease_prediction_using_ml
Developed a web-based application for predicting the likelihood of multiple diseases using machine learning models with accuracy up to 95%.
colab-notebook logistic-regression numpy pandas python3 sklearn spyder-python-ide streamlit-web streamlitcloud svm-classifier
Last synced: 05 May 2026
https://github.com/ayorick23/python-data-science-cheat-sheet
Guía rápida y práctica de sintaxis, comandos y funciones esenciales de Python para Ciencia de Datos. Perfecta para recordar cómo usar las librerías más comunes como NumPy, Pandas, Matplotlib y Scikit-learn en tus análisis diarios.
cheat-sheet data-analysis data-science data-visualization deep-learning jupyter-notebook machine-learning matplotlib ml numpy pandas python scikit-learn scipy seaborn statistics sympy tensorflow
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https://github.com/yahiazakaria445/ensemble-learning-voting-classifier
Ensemble Learning Using KNN, Naive Bayes, Decision Tree on Biomechanical Data
matplotlib numpy pandas scikit-learn seaborn
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https://github.com/gerlero/generala
🎲 Probabilistic tool for the dice game of Generala
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https://github.com/hansalemaos/cirdhighspeedcoverter
High speed conversion of IP addresses represented in CIDR notation into their corresponding start and end IPs, along with their respective subnet masks.
cidr data-manipulation ip-addresses ip-conversion network network-management network-security numpy pandas subnet-mask
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https://github.com/hoyirul/flask-starter-fs
Flask-Starter-FS is a concise full-stack starter kit for Flask web development, offering quick setup and pre-configured settings for seamless integration of front-end and back-end components. Accelerate your full-stack web application development with Flask-Starter-FS.
flask machine-learning numpy pandas python sklearn
Last synced: 14 Apr 2026
https://github.com/chewzzz1014/data-analysts-projects
coursework jupyter-notebook matplotlib numpy pandas python seaborn
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https://github.com/ananupam/eda-titanic
An Exploratory Data Analysis project done on Titanic Dataset.
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https://github.com/pedrosfaria2/analisetitulosnetflix
Estudo de popularidade dos filmes da Netflix no IMDB.
analise-de-dados data-analysis jupyter-notebook matplotlib numpy pandas python
Last synced: 14 Apr 2026
https://github.com/aqueeqazam/student-placements-using-machine-learning-and-flask
Through the use of Flask and machine learning, I show how to implement the student placement prediction model.
flask machine-learning numpy pandas
Last synced: 14 Apr 2026
https://github.com/matkorussovich/student-performance-analysis
Este repositorio contiene un análisis del desempeño académico de estudiantes, realizado como parte del módulo "Introducción al Data Science" en el Máster en Data Science de la Universidad Europea de Madrid.
jupyter-notebook matplotlib-pyplot numpy pandas python
Last synced: 14 Apr 2026
https://github.com/ljubogdan/solar-cycle-lstm
This project predicts sunspot activity using an LSTM model for time series data. Built with TensorFlow and Keras, it uses Huber loss for outlier handling and MAE for performance evaluation. The dataset, sourced from Kaggle or SIDC, spans over 270 years of monthly sunspot data.
conv1d huber-loss-regression kaggle keras lstm machine matplotlib numpy pandas scikit-learn seaborn solar sunspots tensorflow time-ser
Last synced: 13 Apr 2026
https://github.com/anish37860/python_party
Python summer party by Interview Master & in partnership with DataCamp
Last synced: 06 May 2026
https://github.com/karthik9273/revolutionizing-gold-rate-forecasting-for-small-businesses-with-machine-learning
The "Gold Price Prediction" project focuses on predicting the prices of gold using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, Random Forest Regressor, and others, this project provides a comprehensive solution for accurate price estimation.
data-science google-colab-notebook jupyter-notebook machine-learning matplotlib numpy pandas-dataframe python seaborn sklearn
Last synced: 06 May 2026
https://github.com/neelays/xor-xnor_neural_network
NumPy neural network to approximate XOR/XNOR
Last synced: 15 May 2026
https://github.com/fanisgl/cnn_machine_learning
A Machine Learning exercise that trains Convolutional Neural Network (CNN) using the tensorflow 2 and Keras libraries to predict images from the CIFAR-10 dataset.
data-science keras machine-learning neural-networks numpy pandas pooling-layers relu softmax tensorflow2
Last synced: 24 Feb 2026
https://github.com/yulia-momotyuk/dla-data-analysis-practice
This repository contains my homework assignments completed during the "Data Analyst in IT" course at Data Loves Academy.
analytics data-analysis data-visualization excel mysql numpy pandas postgres powerbi python seaborn sql tableau
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https://github.com/navindafernando/lane-detection
Lane Detection with Image Feature Extraction Techniques :aerial_tramway:
image-feature-extraction kernel-filters machine-learning neighborhood numpy opencv sobel-filter
Last synced: 13 Apr 2026
https://github.com/saivarun2611/potato_disease_classifier
This project is a Potato Disease Classifier that uses a Convolutional Neural Network (CNN) to classify potato leaves as healthy, suffering from early blight, or late blight. The model helps in early detection of diseases, which can be crucial in maintaining crop health and yield.
cnn keras matplotlib numpy pandas python3 tensorflow
Last synced: 14 Apr 2026
https://github.com/samir-atra/experiments_and-_improvements
A repository showing the knowledge in some of the machine learning technologies there are.
dcgan-tensorflow numpy tensorflow-tutorials tensorflow2
Last synced: 23 Jan 2026
https://github.com/sun-data/ndoptimize
Numba-accelerated minimization of objective functions.
astropy minimization numba numpy optimization scientific-computing
Last synced: 27 Jan 2026
https://github.com/juzershakir/predicting_boston_housing_prices
Builded a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
bias-variance boston-housing-price-prediction data-exploration decision-tree-regression gridsearchcv k-fold machine-learning matplotlib mlfnd model-evaluation model-validation numpy pandas python3 r2-score sklearn supervised-learning udacity-nanodegree
Last synced: 22 Oct 2025
https://github.com/juzershakir/train_a_smartcab_to_drive
From just cab, to Smart-Cab
cogsci decay-rate epsilon machine-learning machine-learning-algorithms machine-learning-tutorials matplotlib numpy pandas pygame python27 q-learning reinforcement-learning smartcab training udacity-nanodegree visualization
Last synced: 22 Oct 2025
https://github.com/bhuvantenguria/adobe-gensolve
Adobe-Gensolve
cv2 dotenv firebase-admin flask numpy pandas python react svgpathtools svgwrite
Last synced: 23 Jan 2026
https://github.com/mlicamele/neural-network
Project focused on exploring the computations behind neural networks by building one from scratch with only numpy and testing it with the MNIST dataset.
gradient-descent matrix-computations neural-networks numpy python
Last synced: 12 Apr 2026
https://github.com/hifly81/photox
photo and album organizer for gtk3
gtk3 numpy opencv-python photography pil pillow python
Last synced: 24 Oct 2025
https://github.com/kostadinlambov/bitcoin-and-stock-market-correlation
This study uses a quantitative research design to analyze the relationship between Bitcoin prices and the stock market over the past five years with the S&P 500 Index serving as a proxy for the stock market.
bitcoin data-science jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python scipy-stats seaborn sp500-data-analysis
Last synced: 09 Apr 2026
https://github.com/bilgenurbekar/turkishcyberbullying
Contains fine-tuned BERT models and results in the text classification category using Turkish social media data
bert-fine-tuning huggingface-transformers matplotlib numpy pandas python pytorch scikit-learn transformers
Last synced: 07 Mar 2026
https://github.com/apbetioli/neural-network
A simple neural network implementation
machine-learning neural-network numpy python3
Last synced: 29 Apr 2026
https://github.com/luliatuccu/weather_analysis
This project highlights a combination of data science techniques and Python programming to explore real-world weather data.
data-preprocessing eda feature-engineering machine-learning matplotlib numpy pandas regex scikit-learn seab seaborn weather weather-patterns
Last synced: 02 Apr 2026
https://github.com/zombietdv/hm_gpt_v1.0
Homemade GPT( not that good ).
attention-mechanism backpropagation deep-learning numpy
Last synced: 19 Apr 2026
https://github.com/harmanveer-2546/nba-homecourt-advantage-data-analysis
In this repo we're diving into NBA game data to explore the phenomenon of home court advantage.
analysis homecourt learning-curve linear-models logisticregression metrics model-selection nba nba-analytics nba-stats numpy pandas preprocessing seaborn sklearn standardscaler
Last synced: 06 Feb 2026
https://github.com/miasanromen/math-modeling
Math modeling with Python. Statistics, math, graphics
math matplotlib numpy probality-theory scipy-stats statistics
Last synced: 14 Apr 2026
https://github.com/pradeep31747/smartsuggest-personalized_product_recommendations
This project implements a personalized product recommendation system using machine learning techniques to enhance user experience and drive engagement.
jupyter-notebook keras numpy pandas pyhton scikit-learn sql tensorflow vscode
Last synced: 28 Jan 2026
https://github.com/adriantomin/bulldozer-price-prediction
Predicting the Sale Price of Bulldozers Using Machine Learning 🚜💰 This project uses machine learning to predict bulldozer sale prices based on historical data from the Kaggle Bluebook for Bulldozers competition. The goal is to minimize the RMSLE between actual and predicted prices.
data-science jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn
Last synced: 23 Jan 2026
https://github.com/jsd115/tensorflow_bankfrauddetection
This repository aims to provide examples of my ability to produce ML models using tensorflow and sklearn
numpy pandas sklearn tensorflow
Last synced: 06 Feb 2026
https://github.com/hafaio/homeotopy
A python library for computing homeomorphisms between some common continuous spaces
Last synced: 24 Feb 2026
https://github.com/ggrbill/phd-plot-scripts
My personal plot scripts used to generate graphs for my PhD Thesis
hacktoberfest matplotlib numpy python
Last synced: 18 Apr 2026
https://github.com/gusenov/max-empty-rect-py
:black_square_button: Реализация на Питоне алгоритма поиска на изображении пустого прямоугольника максимальной площади.
algorithm empty-spot graphics numpy python python-image-library python-library rectangle-detection
Last synced: 06 Feb 2026
https://github.com/rezasharifi82/lesson_extractor
Extract all possible "معارف" courses @ Ferdowsi University of Mashhad ,FUM
beautifulsoup4 ipynb jupyter-notebook numpy pandas python3 regex
Last synced: 06 Feb 2026
https://github.com/sonaligill/olympics-analysis
The outcome of this project is an interactive streamlit web application that visualizes the analysis of Olympic data while rendering different aspects of Olympic history, compare country performances, and gain insights into athlete demographics.
numpy plotly python scikit-learn scipy streamlit
Last synced: 28 Jan 2026
https://github.com/asut00/Machine-Learning-Program_42AI
Comprehensive Machine Learning path by 42AI: hands-on modules on regression, gradient descent, and real-world ML applications.
linear-regression machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 27 Oct 2025
https://github.com/harmanveer2546/heart
Predicting the presence of heart disease based on several health-related factors and Performing - i.) Data Cleaning ii.) Data Pre-Processing iii.) EDA iv.) Compare 5 different classification algorithms (Logistic Regression, Decision Tree, Random Forest, KNN and SVC)
data-preprocessing decision-tree eda knn logistic-regression machine-learning numpy pandas random-forest roc-auc-curve svc
Last synced: 03 May 2026
https://github.com/lavkalsi/creditcardfrauddetector
Credit Card Fraud Detector is a React web app that predicts if a credit card transaction is fraudulent using a Python machine learning model. Users can input transaction data, and Flask facilitates communication between the backend and frontend. Backend files are located in the res folder. This app provides simple UI for user interaction.
fraud-detection machine-learning nodejs numpy pandas python reactjs sklearn-library
Last synced: 15 Apr 2026
https://github.com/alejandro945/insurance-risk
This project aims to predict the risk of insurance claims using a dataset from Kaggle. The dataset consists of 26 columns and 205 rows, providing various features related to insurance risk. By analyzing this data, we seek to build predictive models that can help insurers assess the risk of claims.
data-analytics ipython-notebook numpy pandas python
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https://github.com/slovnicki/matematicki-softver
homeworks and projects for Mathematical Software course
ipython jupyter latex markdown mathplotlib numpy pandas scikit sympy
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https://github.com/djdhairya/parkinson-s-disease-detection
datapreprocessing machine-learning modeling numpy pandas scikit-learn svm
Last synced: 15 Apr 2026
https://github.com/andres29ac/website_heatmaprisk
Mapa hecho con Streamlit y Folium para mostrar la distribución delictiva de cada distrito de Trujillo mediante Mapas de Calor.
folium-maps heatmap-visualization numpy pandas ploty python stadistics streamlit
Last synced: 15 Apr 2026
https://github.com/sa001gar/password-manager-on-the-top-of-streamlit
Secure Password Manager is a Python-based application developed by Sagar Kundu, designed to provide users with a secure and convenient way to manage their passwords. With features like user authentication, password generation, and secure storage using bcrypt and MongoDB, it ensures the safety of sensitive information while offering an intuitive use
bcrypt gui-application mongodb numpy numpy-library pandas-dataframe pandas-library pandas-python password-generator password-manager pymongo python python3 streamlit-application streamlit-webapp urllib
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https://github.com/maia-bastos/an-lise-descritiva-ibge
analise-de-dados estatistica numpy pandas seaborn
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https://github.com/drsartoriuss/portfolio
Учебные проекты из Яндекс Практикума "Специалист по Data Science+"
catboost computer-vision data-science deeplearning mashinelearning matplotlib nlp-machine-learning numpy pandas scipy seaborn sklearn sql torch tsf
Last synced: 28 Jan 2026
https://github.com/matheusafonseca/c213-trabalho-1
Repository dedicated to storing and managing the first assignment for C213 - embedded systems.
matplotlib numpy pid-controller python scypi streamlit
Last synced: 29 Jan 2026
https://github.com/deepankkartikey/ml-projects
A repository of projects done while learning and exploring ML
classification csv machine-learning numpy pandas regression sklearn
Last synced: 15 Apr 2026
https://github.com/asherk7/house-price-prediction
House Prices - Advanced Regression Techniques - Predict sales prices and practice feature engineering, RFs, and gradient boosting
data-science numpy pandas regression scikit-learn
Last synced: 15 Apr 2026
https://github.com/ramy-badr-ahmed/higgs-dataset-training
Training Higgs Dataset with Keras - https://doi.org/10.5281/zenodo.13133945
binary-classification cuda-toolkit cupy dask dask-dataframes higgs-boson keras keras-tensorflow matplotlib matplotlib-python numpy pandas pandas-dataframe scikit-learn uci-dataset uci-machine-learning
Last synced: 30 Jan 2026
https://github.com/linggarm/poultry-meat-freshness-classification-with-transfer-learning-using-resnet
The utilization of the ResNet architecture and Transfer Learning methods to classify Poultry Meat Freshness images into two categories, namely Fresh and Rotten.
artificial-intelligence binary-classification cnn colab-notebooks computer-vision deep-learning fine-tuning imagenet machine-learning meat-classification numpy pandas poultry python residual-networks resnet scikit-learn supervised-learning tensorflow transfer-learning
Last synced: 15 Apr 2026
https://github.com/martincastroalvarez/search-keras-gensim-elasticsearch
Search Engine using Word Embeddings, GloVe, Neural Networks, BART and Elasticsearch
elasticsearch gensim gensim-word2vec keras nlp numpy python scipy spacy word2vec
Last synced: 15 Apr 2026
https://github.com/itssahilwhat/ai-fundamentals
A curated collection of fundamental AI concepts, algorithms, and code implementations — including Machine Learning, Deep Learning, and Computer Vision — built from scratch and with practical examples.
computer-vision deep-learning machine-learning numpy pandas python pytorch scikit-learn
Last synced: 15 Apr 2026
https://github.com/tamk-kol/project_orbital_data_analysis
The goal of this project is to develop an automatic method to detect orbital maneuvers using machine learning.
matplotlib numpy pandas scikit-learn
Last synced: 30 Jan 2026
https://github.com/stavrosarm/mathematics_algorithms
Fundamental algorithms of Linear Algebra , Numerical Analysis and Calculus in Python and Julia.
calculus julia-language linear-algebra numerical-analysis numpy python
Last synced: 30 Jan 2026
https://github.com/ayuub34/siesta-smart
This project is designed to be a AIaaS 2-Way-PMS optimized with AI and ML models. The goal is to enhance the efficiency of the system through advanced technology solutions.
ai data-analysis-python data-processing data-science jupyter-python machine-learning matplotlib numpy pandas powerbi-report pyqt5 scipy seaborn sklearn
Last synced: 25 Feb 2026
https://github.com/shwetapardhi/assignment-03-q4-hypothesis-testing
Chi2 contengency independence test Q4. TeleCall uses 4 centers around the globe to process customer order forms. They audit a certain % of the customer order forms. Any error in order form renders it defective and has to be reworked before processing. The manager wants to check whether the defective % varies by centre. Please analyze the data at 5
alternate-hypothesis chi2-contingency contingency-analysis hypothesis-testing norm null-hypothesis numpy numpy-arrays pandas python scipy significance-testing stats
Last synced: 31 Jan 2026
https://github.com/keyurparalkar/breast-cancer-detection
Predict whether the cancer is benign or malignant
gradient-descent logistic-regression machine-learning numpy
Last synced: 26 Apr 2026
https://github.com/massimilianovisintainer/diabetics-prediction-model
Machine learning model for diabetes prediction.
machine-learning numpy pandas python sklearn svm-classifier svm-model
Last synced: 25 Feb 2026
https://github.com/moh-27sl/image-alignment--python-edition
Alignment of an unaligned image with a base/reference image using feature detection, feature matching, and homography in OpenCV.
ai classical-computer-vision classical-image-processing computer-vision computervision image-alignment image-processing imageprocessing neural-network numpy opencv python python3
Last synced: 15 Apr 2026
https://github.com/arraypd/airflow-etl-elt
airflow duckdb elt etl matplotlib metabase ml numpy pandas postgresql python scikit-learn
Last synced: 15 Apr 2026
https://github.com/manu-karenite/medical-insurance-cost-predictor
Medical Insurance Cost Generator is a Linear Regression based Predictor which is used to estimate and predict the Cost a person has to pay while Buying a Medical Insurance.
kaggle-dataset linear-regression machine-learning matplotlib numpy pandas python3 reactjs scikit-learn
Last synced: 15 Apr 2026
https://github.com/olfabelhadj/analyse-des-ventes-d-une-librairie-avec-python
OpenClassrooms parcours Data Analyst Projet 9
matplotlib-pyplot numpy pandas plotly-express plotly-graph-objects python scipy seaborn statsmodels
Last synced: 15 Apr 2026
https://github.com/sarmad426/ai
AI basic to advanced featuring Machine Learning, Deep Learning and Data Science.
ai data-science deep-learning hugging-face machine-learning numpy pandas python scikit-learn
Last synced: 15 Apr 2026