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/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/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/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/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/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/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/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/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/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/jaweria-b/eda-basketball
The Streamlit app analyzes NBA player stats with user-selected filters, offering data download and intercorrelation heatmap.
matplotlib numpy python streamlit
Last synced: 10 Apr 2026
https://github.com/niteshchawla/logistics-nn-regression
The case study is about India's Largest Marketplace for Intra-City Logistics. This dataset has the required data to train a regression model that will do the delivery time estimation, based on all those features.
adam-optimizer data-visualization encoding exploratory-data-analysis feature-engineering hidden-layers hyperparameter-tuning keras-tensorflow kerastuner metrics neural-network numpy pandas regression relu scaling sequential-models
Last synced: 10 Apr 2026
https://github.com/elon-fask/nlp_num1
Natural Language Processing with Disaster Tweets
ai machine-learning nlp nlp-machine-learning numpy pandas python text-processing
Last synced: 10 Apr 2026
https://github.com/ahmedabdalkreem/speech-recognition
In this project we deal with audio dataset to make classification between ten audio and make preprocssing in it using Librosa and Scipy then be input of Neural Network Model.
librosa matplotlib neural-network numpy pandas python3 scipy sklearn tensorflow
Last synced: 11 Apr 2026
https://github.com/fedesgh/parkinson_volatility_spread_on_cedears
Creating a function that returns a graph with the difference between Parkinson's volatility and regular volatility given a certain bounds
Last synced: 10 Apr 2026
https://github.com/solaris0051/simplenn
simple neural network. The comments accompanied with codes are written in English.
anaconda3 colab-notebook conda conda-env conda-packages jupyterlab latex machine-learning markdown matplotlib neural-network numpy object-oriented online-learning python3
Last synced: 12 Apr 2026
https://github.com/shakebshamsi/youtube-scraping-using-api
Youtube Scraping
jupyter-notebook numpy pandas python seaborn
Last synced: 10 Apr 2026
https://github.com/crvargasm/moore-penrose-matrix
A small implementation of an algorithm that is capable of computing the Moore-Penrose inverse of any matrix.
numerical-methods numpy python
Last synced: 10 Apr 2026
https://github.com/paraskevi-kivroglou/rl-pong-agent
A project by Paraskevi Kivroglou as part of exploring deep reinforcement learning applications.
atari atari-games gym-environment gymnasium numpy python3 pytorch q-learning reinforcement-learning reinforcement-learning-agent
Last synced: 11 Apr 2026
https://github.com/toluwalase-taiwo/ml-zoomcamp
Machine learning repository
algorithms jupyter-notebook machine-learning matplotlib numpy pandas python3 scikit-learn
Last synced: 11 Apr 2026
https://github.com/farhad-here/data-visualization-analysis-dva
This is my data analysis project. Users can use this project to clean and preprocessing the date or data visualization. Individuals can impute or ecnode ther dataset.
altair bokeh data-analysis data-analysis-python io matplotlib numpy pandas plotly python sklearn streamlit
Last synced: 11 Apr 2026
https://github.com/pardhuu66/college-id-validator
FastAPI-based offline College ID Validator with Docker support
base64 dnn docker easyocr fastapi mobilenetv2 numpy onnx onnxruntime opencv pillow pydantic python tensorflow uvicorn
Last synced: 11 Apr 2026
https://github.com/rkarahul/face-detection-using-opencv-
•Build a face detection project using OpenCV and haar cascades, which are the better choice for real-time detection.
haar-cascade-classifier machinelearning numpy pandas-library python3 tkinter
Last synced: 08 May 2026
https://github.com/jigyasag18/fake-news-prediction-app
The Fake News Prediction App Repository offers a machine learning project that focuses on identifying the authenticity of news articles as fake or real. It uses a dataset of 20,000 articles and employs methods such as TF-IDF vectorization and the Lemmatization algorithm, achieving ~95% classification accuracy with random forest classifier model
data datapreprocessing logistic-regression machine-learning machine-learning-algorithms numpy pandas prediction stemming streamlit streamlit-webapp vectorization
Last synced: 11 Apr 2026
https://github.com/dmarks84/coursework_project_apache-airflow-kafka-on-toll-booth-data
Project for IBM Data Engineering & Python course on ETL & Big Data -- Read in live toll booth data, wrangles and transformed, and wrote into a SQL database
apache-airflow apache-kafka automation dags data-modeling databases eda elt etl mysql numpy pandas pipelines python sql
Last synced: 11 Apr 2026
https://github.com/alexixrugis/perceptronvisualization
Visualization of training and operation of a perceptron written from scratch in numpy
ai machine-learning numpy python
Last synced: 11 Feb 2026
https://github.com/mehradi-github/ref-jupyter-2510
using python in machine learning
matplotlib numpy pandas python sklearn statistics
Last synced: 11 Apr 2026
https://github.com/mooseburger1/nfl-social-network-analysis
Performing Social Network Analysis on the 2017 NFL schedule - Scraping the web with Python and Pandas
data-mining data-science data-visualization gephi matplotlib networkx networkx-graph numpy pandas-dataframe python-3 regular-expression social-network-analysis web-scraping
Last synced: 18 Apr 2026
https://github.com/raufjatoi/ai-programming
Programming for AI labs
ai deep-learning jupyter-notebooks machine-learning matplotlib numpy pandas python pytorch seaborn sklearn tensorflow
Last synced: 11 Apr 2026
https://github.com/lucasgleria/seamese-network-algorithm
Este projeto implementa um sistema de busca por similaridade de imagens usando redes siamesas e Triplet Loss em PyTorch. Ele gera embeddings de imagens (MNIST com EfficientNet-B0) para encontrar visuais semelhantes. O foco está na análise visual e no aprendizado de representações no espaço vetorial.
google-colab matplotlib numpy pandas python pytorch timm
Last synced: 11 Apr 2026
https://github.com/abrarshahok/electric-vehicle-charging-station-energy-consumption-prediction
With the rapid adoption of electric vehicles, optimizing energy usage at charging stations has become crucial for improving operational efficiency and ensuring customer satisfaction. This tool leverages predictive modeling to forecast energy consumption for charging sessions based on various input features.
matplotlib numpy pandas plotly python3 scikit-learn xgboost
Last synced: 09 Jun 2026
https://github.com/ksharma67/anomaly-detection-on-temperature-device-failure
A typical anomaly detection task and performing KMeans, PCA, Gaussian distribution, and Isolation Forest.
eda ellipticenvelope feature-engineering gaussian-distribution isolation-forest kmeans-clustering numpy pca python sklearn
Last synced: 11 Apr 2026
https://github.com/kishanlalchoudhary/be-sem-7
BE SEM 7 Assignments
blockchain cpp design-analysis-algorithms machine-learning matplotlib numpy pandas scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/rodrigojunqueiradev/data-exploration-and-cleaning
Credit Analysis Data: Foundations for Cleaning and Exploration
data-analysis data-engineering data-science data-visualization datascience matplotlib matplotlib-pyplot numpy pandas python python-3 python3
Last synced: 13 Apr 2026
https://github.com/abideen-olawuwo/financial-inclusion
A Bank account Prediction in Africa
matplotlib numpy pandas python seaborn sklearn xgboost-classifier
Last synced: 10 Apr 2026
https://github.com/vishnu-vamshii/heart-disease-prediction-using-ml
This project presents an end-to-end data analysis and machine learning pipeline for predicting heart disease using a publicly available dataset. The project includes data exploration, visualization, and implementation of various machine learning models to predict the likelihood of heart disease based on a set of clinical attributes.
machine-learning matplotlib numpy pandas python seaborn sklearn
Last synced: 11 Apr 2026
https://github.com/talapanenivarshithchowdary/asteroid-detection-ml
This project uses Machine Learning to detect and classify asteroids based on trajectory and size, aiding in Near-Earth Object detection and planetary defense.
classification data-science decision-trees jupyter-notebook knn logistic-regression machine-lea matplotlib numpy pandas pillow prediction python3 random-forest scikit-learn
Last synced: 11 Apr 2026
https://github.com/nishi1612/knight-tour-problem
IT485 Logic of Inference Project on Knight's Tour. A hamiltonian path problem to determine path of knight to travel entire chessboard with every cell visited only once.
backtracking-algorithm bootstrap flask html knights-tour localhost numpy pygame python tkinter warnsdorff
Last synced: 11 Apr 2026
https://github.com/jbalooshie/movies-etl
Exercise working with movie datasets from Kaggle and Wikipedia. Python is used to extract, clean, and combine the data, and then it is loaded into a postgreSQL database.
data-analysis data-science jupyter-notebook numpy pandas postgresql postgresql-database python sqlalchemy
Last synced: 11 Apr 2026
https://github.com/supreme-gg-gg/beam-analysis
Fast, customisable, intuitive web application to simplify beam analysis. Certified by Bob the Builder.
civil-engineering matplotlib numpy python streamlit structural-analysis
Last synced: 11 Apr 2026
https://github.com/rachelnk/simple-machine-learning-model
A simple machine learning model built using scikit-learn library.
data-science linear-regression machine-learning-algorithms machine-learning-models matplotlib numpy pandas python random-forest random-forest-regressor scikit-learn
Last synced: 11 Apr 2026
https://github.com/shubhamahobia/lstm-hamlet
The LSTM Next Word Prediction project trains a model on Hamlet to predict the next word in a sequence. After preprocessing the text, an LSTM network learns patterns in the language. The trained model can then generate text by predicting the next word in a given sequence, with its accuracy evaluated to ensure it effectively models the language.
deep-learning github hamlet lstm lstm-neural-network lstm-neural-networks machine-learning neural-network nltk numpy pandas pickle python
Last synced: 11 Apr 2026
https://github.com/samuele-lolli/data-analytics-techniques
A practical approach to data analytics pipeline.
numpy pandas pytorch scikit-learn
Last synced: 11 Apr 2026
https://github.com/tjpavii0809/classification-regression-models
Simple Predictive Model of Machine Learning
data-science numpy pandas scikit-learn supervised-learning
Last synced: 20 Jan 2026
https://github.com/codewithmayank-py/covid19-data-analysis-using-python
COVID-19 and Happiness Analysis
data-analysis data-analysis-python data-visualization dataset jupyter-notebooks numpy pandas python3 seaborn
Last synced: 11 Apr 2026
https://github.com/ashishsingh789/titanic_dataset_eda_and_visualization
This repository contains an exploratory data analysis (EDA) of the Titanic dataset. Key analyses include survival rates by gender, passenger class, age distribution, family size, and correlation heatmaps.
data data-science dataanalysis matplotlib numpy pandas pandas-dataframe python seborn visualisation
Last synced: 11 Apr 2026
https://github.com/thaisgarcia/convert-censo-file
Este repositório contém scripts Python para processar dados destinados ao censo do MEC, incluindo a leitura de um arquivo TXT, a geração de um arquivo Excel e a conversão desse arquivo Excel de volta para um formato de texto.
Last synced: 11 Apr 2026
https://github.com/ebadshabbir/logistic_regression-binomial-
Logistic Regression on Social Network Ads Dataset This project applies Logistic Regression to predict whether a user will purchase a product based on their age and estimated salary, using the Social Network Ads dataset. The data is split into training and test sets, with feature scaling applied for normalization.
classification jupyter-notebook logistic-regression machine-learning matplotlib-pyplot numpy pandas python sklearn
Last synced: 11 Apr 2026
https://github.com/vyjayanthipolapragada/fraud_detection_creditcard
Detecting the fraudulent credit card transactions by training Decision Tree model using Scikit-learn and SnapML
classification-model data-preprocessing decision-tree-classifier kaggle-dataset machine-learning numpy pandas python scikit-learn snapml time tree-model
Last synced: 11 Apr 2026
https://github.com/abdulsamie10/animalclassification-cnn
Different pics of dogs, cats and pandas were used and applied CNN on them to find out their type.
animal-classification cnn colab-notebook computer-vision convolutional-neural-network convolutional-neural-networks deep-learning jupyter-notebook keras machine-learning numpy python python3 pytorch
Last synced: 11 Apr 2026
https://github.com/dharma-acha/resnet18_imageclassification_cnn
In this part of the project, we implement ResNet-18 from scratch using PyTorch and train it on an image dataset to achieve over 75% accuracy. We apply techniques to prevent overfitting and optimize performance, aiming for an accuracy of 80% or higher.
matplotlib numpy python3 pytorch scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/shwetajanwekar/hr-data-analytics
Analyze the HR data through exploratory data analysis, we identified key factors influencing employee attrition, satisfaction levels, and performance. Machine learning models enabled us to predict employee churn and classify potential candidates for promotion.
matplotlib numpy pandas seaborn
Last synced: 19 Apr 2026
https://github.com/prashhhant213/cardioflex-treadmill-analysis-using-descriptive-statistics-probability
Description Analysis and Visualization on CardioFlex Treadmill data to provide insights and recommendations to improve their userbase.
colab-notebook numpy pandas probability python stats
Last synced: 11 Apr 2026
https://github.com/carolina-riddick/xg-by-match-segments-football-analysis
futbol matplotlib numpy python segments soccer-analytics xg
Last synced: 15 May 2026
https://github.com/akansha2004pandey/chsw_projects
jupyter-notebook nlp numpy pandas python tensorflow
Last synced: 11 Apr 2026
https://github.com/snghrsw/kikagaku-ml-learning
Pythonで単回帰分析と重回帰分析、ディープラーニングで回帰と分類
liner-regestion multiple-regression numpy pandas python scikit-learn
Last synced: 11 Apr 2026
https://github.com/nourmorsy/topic_modelling
jupyter-notebook numpy pandas python
Last synced: 11 Apr 2026
https://github.com/saifalibaig/-online-retail-exploratory-data-analysis-with-python
Exploratory Data Analysis of an online retail store
data-analysis data-visualization matplotlib numpy pandas python3
Last synced: 11 Apr 2026
https://github.com/richardbmk/datascience_machinelearning
projects related with data science and machine learning projects.
data-science machine-learning matplotlib numpy pandas scikit-learn scipy seaborn
Last synced: 11 Apr 2026
https://github.com/elmezianech/email-spam-ham-classifier-nb-hard
Naive Bayes Email Classifier: An implementation of a 'hard' Naive Bayes classifier in Python to categorize emails as spam or ham. This code performs extensive data preprocessing, probability calculations, and model training for email classification using the raw Naive Bayes algorithm.
ai emails jupyter-notebook machine-learning ml naive-bayes naive-bayes-classifier numpy pandas python spam-detection spam-filtering
Last synced: 11 Apr 2026
https://github.com/aaaastark/textclassification-nlp-project
Dataset preparation, Feature Engineering, Model Building, Summary Statistics, Data Exploration by Visualizations, and Save File CSV
matplotlib nltk numpy pandas python seaborn sklearn textblob wordcloud
Last synced: 11 Apr 2026
https://github.com/lorenzorottigni/dl-lending-club
Deep Learning python bootcamp: deep learning on Lending Club dataset
deep-learning ipynb keras machine-learning numpy pandas python scikit-learn seaborn tensorflow
Last synced: 11 Apr 2026
https://github.com/jagroop2001/learning-numpy
Learning NumPy complete the exercise
Last synced: 16 May 2025
https://github.com/ritwika-das-gupta/flight_price_prediction
Flight price Prediction is made using decision tree model and Machine learning concepts
cross-validation data-science data-visualization desiciontree flask gridsearchcv html-css-javascript hyperparameter-tuning json machine-learning matplotlib numpy pandas pickle python scikit-learn sklearn statistics supervised-learning
Last synced: 11 Apr 2026
https://github.com/moustafamohamed01/car-price-prediction
Car Price Prediction using Linear Regression A machine learning model that predicts car prices based on features like name, company, year, kilometers driven, and fuel type. Built with Linear Regression and deployed as a Streamlit web app.
data-science jupyter-notebook linear-regression machine-learning numpy pandas python sickit-learn sklearn streamlit
Last synced: 11 Apr 2026
https://github.com/ferasaljoudi/driverdrowsinessdetection
Driver Drowsiness Detection using Machine Learning
drowsiness-detection keras-tensorflow machine-learning matplotlib numpy pandas python pytorch tensorflow
Last synced: 11 Apr 2026
https://github.com/reubenmathew/docscanner
📸 Document Scanner using an OpenCV Edge Detection Engine
Last synced: 11 Apr 2026
https://github.com/nauxqouh/python-for-data-science-labs
This repo contains weekly practical codes for my Python for Data Science course at university.
data-science jupyter-notebook numpy pandas python pytorch scikit-learn
Last synced: 11 Apr 2026
https://github.com/sudarsann27/basic_machine_learning_algorithms
Basic Machine learning algorithms using scikit-learn and other fundamental libraries
data-science data-visualization ensemble-model kaggle numpy pandas scikit-learn supervised-machine-learning
Last synced: 20 Jan 2026
https://github.com/rutujaingole/jailbreaking-deep-models
This repository contains the codebase for Jailbreaking Deep Models, which investigates the vulnerability of deep convolutional neural networks to adversarial attacks. The project systematically implements and analyzes Fast Gradient Sign Method (FGSM), Projected Gradient Descent (PGD), and localized patch-based attacks on the pretrained
adversarial-attacks deep-learning densenet121 fgsm-attack imagenet-classifier jailbreak machine-learning numpy patch-based-attack pgd-adversarial-attacks torch
Last synced: 14 May 2026
https://github.com/coderjolly/employee-information-retrieval-system
An information retrieval system constructed using Flask to perform ETL operations while ingesting New York Payroll data and provide a frontend user interface for manipulating filters and queries.
etl flask mvc numpy pandas python sqlite3
Last synced: 11 Apr 2026
https://github.com/adi3042/sensor-fault-detection
🔍⚙️ Ensure Reliable Operations! Detect anomalies and prevent disruptions with our Sensor Fault Detection system. Explore advanced classification and regression techniques to identify and address sensor faults effectively. Your path to robust and accurate sensor data begins here! 🚨🔧 SensorFaultTech
classification css datetime fault-detection flask functools html ipykernel jupternotebook machine-learning numpy pandas python3 readme regression scikit-learn sensor setuptools venv
Last synced: 11 Apr 2026
https://github.com/yasharmaster/coursera-deep-learning
Deep Learning Specialization by Andrew Ng on Coursera.
coursera coursera-deep-learning deep-learning keras keras-tensorflow numpy python tensorflow
Last synced: 11 Apr 2026
https://github.com/alphan26/breastcancerclassification
This project involves a binary classification problem where we applied PyTorch to detect breast cancer.
matplotlib numpy pandas python pytorch
Last synced: 11 Apr 2026
https://github.com/hmourad2023/tweets_sentiments_emotions_analysis
Les réseaux sociaux, et en particulier Twitter, sont des plateformes essentielles où les utilisateurs expriment leurs sentiments et émotions au quotidien. Analyser les tweets peut fournir des informations précieuses sur l’humeur collective et les préoccupations des gens. Ce projet utilise un dataset de tweets disponible sur Kaggle
Last synced: 01 Aug 2025
https://github.com/muhammad-rebaal/eda-with-python-and-pandas
Explore, Analyze, and Visualize Data with Python and Pandas: Dive into the world of data analysis and visualization using Python and Pandas with this repository. Discover valuable insights, clean and preprocess your data, and create stunning visualizations to make data-driven decisions.
calmap matplotlib numpy pandas python python3 seaborn
Last synced: 07 May 2026
https://github.com/psycho-poodle/simple_rnn_imdb
This repository contains a simple web application for sentiment analysis of movie reviews using a pre-trained RNN model. The application is built with TensorFlow and Streamlit, making it easy to use and deploy.
numpy python streamlit tensorflow
Last synced: 11 Apr 2026
https://github.com/nishantksingh0/twitter-sentiment-analysis
A ML/DL based Twitter sentiment analysis model based on Transformer based pretrained Encoding on sentence
kaggle-dataset matplotlib-pyplot nlp numpy pandas sklearn tensorflow transformer
Last synced: 11 Apr 2026
https://github.com/nickklos10/league-of-legends-match-predictor
Predicting League of Legends Match Outcomes Using Logistic Regression and PyTorch.
jupyter-notebook matplotlib numpy pandas pytorch scikit-learn seaborn
Last synced: 11 Apr 2026
https://github.com/tigureis/aula_deployment
This project not only demonstrates a machine learning pipeline but also serves as a template for deploying models into production. By leveraging the project's structure and code, you can streamline the process of deploying your own machine learning models.
Last synced: 11 Apr 2026
https://github.com/dmarks84/coursework_project_ml-classification
Project for IBM Data Science course on Machine Learning -- Trained ML models for classification, evaluating based on a variety of metrics
classification communication data-modeling dataframes numpy pandas python scikit-learn supervised-ml
Last synced: 11 Apr 2026
https://github.com/kartmaan/prime-number-analysis
Analysis notebook on prime numbers
analysis conjecture fibonacci fibonacci-numbers fibonacci-sequence math mathematics matplotlib notebook number-theory numpy polyfit prime prime-number-algorithm prime-numbers trends
Last synced: 17 May 2026
https://github.com/collins-kimotho/wrangle-and-analyze-project
Data Wrangling and Analysis Project: Analyzing WeRateDogs Twitter Account Data
explanatory-data-analysis exploratory-data-analysis matplotlib numpy pandas python twitter twitter-api
Last synced: 11 May 2026
https://github.com/shahzaibdev355/house-recommendation-backend
House Recommendation Backend is a Flask-based API that provides house recommendations based on user input. It includes endpoints to check the backend's functionality, fetch state data, and get personalized house recommendations based on criteria like price, property size, number of beds, number of baths, and state.
flask flask-api flask-cors numpy pandas scikit-learn tensorflow
Last synced: 05 Jan 2026
https://github.com/beberiche/jeon-woo-chi
지역 축제를 기반으로 하는, 게이미피케이션을 접목시킨 지역 상권 맞춤 추천 서비스
aws django docker elasticsearch grafana jenkins kibana logstash numpy pandas phaserjs prometheus react react-query recoil redis spring-boot tensorflow typescript zipkin
Last synced: 10 Mar 2026
https://github.com/pakagronglb/istanbul-restaurant-tips-prediction
This project focuses on predicting restaurant tips in Istanbul using machine learning techniques, specifically Linear Regression. The analysis includes data preprocessing, exploratory data analysis (EDA), model training, and evaluation.
kaggle matplotlib numpy pandas prediction python scikit-learn seaborn
Last synced: 08 Apr 2026
https://github.com/shudhanshusaurabh001/super_market-data-analysis-using-python
This project focuses on analyzing supermarket sales data using Python. The goal is to extract meaningful insights from the dataset, such as sales trends, customer purchasing behavior, and product performance.
analysis csv data insights matplotlib numpy pandas project python seaborn
Last synced: 06 Apr 2026
https://github.com/ralolooafanxyaiml/neural-evolution-engine
A modular AI evolution simulation engine built with Python and TensorFlow. Uses Deep Learning to predict organism adaptations against environmental threats.
artificial-intelligence deep-learning evolution-simulation keras machine-learning neural-networks numpy oop pandas python scikit-learn simulation tensorflow
Last synced: 07 Jan 2026
https://github.com/hafaio/hilbert-bytes
A python library for converting between d-dimensional points and indices on a hilbert curve
hilbert-curve numba numpy python
Last synced: 12 Feb 2026
https://github.com/bilalm04/autonomous-lane-detection
An autonomous lane detection system leveraging OpenCV to process images and videos, accurately identifying lanes and providing key visualizations.
artificial-intelligence computer-vision lane-detection machine-learning matplotlib numpy opencv python
Last synced: 20 Jan 2026
https://github.com/pymivn/vinastats
Khám phá các sự thật ở Việt Nam với thống kê và số liệu từ tổng cục thống kê Việt Nam
numpy pandas statistics vietnam
Last synced: 02 Apr 2026
https://github.com/rudrodip/timmygrad
scalar value gradient descent optimizer
backpropagation gradient-descent multilayer-perceptron-network neural-network numpy python3 pytorch
Last synced: 09 May 2026