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/patilsukanya/p02.-normal-distribution-of-stocks
Used libraries and functions as follows:
cdf detetuneindex matplotlib-pyplot mean norm numpy pct probability python seaborn standard-deviation stats
Last synced: 01 May 2026
https://github.com/mahmoudnamnam/superstore-analysis
This project explores the SuperStore dataset to uncover insights into sales, profit, and customer behavior. It identifies key trends, regional variations, and product performance, using data analysis and machine learning techniques to guide business strategy and optimize performance.
clustering data-analysis data-science data-visualization geopandas jupyter-notebook machine-learning numpy pandas plotly regression seaborn sklearn
Last synced: 12 Apr 2026
https://github.com/mostafa-ghorab/global-happiness-analysis
An analysis of global happiness rankings based on various factors like GDP, family support, health, and freedom from the World Happiness Report (2015-2017). This project provides data visualizations and statistical insights into how these factors influence happiness scores in different regions.
business-analysis data-analysis data-visualization matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/amira921/eda-and-visualization-netflix-movies-and-tv-shows
EDA for Netflix Movies and TV Shows
datacleaning datamanipulation datapreprocessing datavisualization exploratory-data-analysis insights matplotlib numpy pandas python
Last synced: 12 Apr 2026
https://github.com/lmizner/codecademy_life_expectancy_gdp
Utilize understanding of data visualization to analyze and plot data about GDP and life expectancy
barplot jupyter-notebook lineplot matplotlib-pyplot numpy pandas python scatterplot seaborn
Last synced: 12 Apr 2026
https://github.com/thariniselvakumar/kidney-disease-prediction
This project is about the kidney disease prediction using machine learning algorithms
machine-learning matplotlib numpy pandas scikit-learn seaborn
Last synced: 12 Apr 2026
https://github.com/patilsukanya/assignment-04.-simple-linear-regression-q1
Used libraries and functions as follows:
correlation-analysis data-visualization distplot eda feature-engineering model-building model-predictions model-testing numpy ols-regression p-value pandas python r-square-values regression-plot seaborn simple-linear-regression smf statmodels t-score
Last synced: 09 Apr 2026
https://github.com/separatrixxx/tmandcm_labs_3_sem
👓 Laboratory works for 3 semester of MAI on theoretical mechanics
matplotlib numpy python theoretical-mechanics
Last synced: 20 May 2026
https://github.com/anubagre/predicting-price-of-pre-owned-cars
This project is solution to data science problem based on regression model to predict the price of pre owned cars. Programming language used is Python.
data-science machine-learning numpy pandas price-prediction python seaborn sklearn streamlit
Last synced: 11 Apr 2026
https://github.com/hansalemaos/a_pandas_ex_horizontal_explode
Explode list/tuples in columns
dataframe dataframes list numpy pandas python series tuple
Last synced: 14 Apr 2026
https://github.com/Gregoritsch3/Exercise_Pandas_1
A Pandas exercise demonstrating the loading, cleaning and reorganization of data in .xlsx or .csv files, descriptive statistics, data visualization, statistical approximation of data with the normal distribution, etc.). Libraries include Pandas, NumPy, Scipy, SymPy, MatplotLib,
data-cleaning data-visualization descriptive-statistics matplotlib numpy pandas scipy sympy
Last synced: 01 May 2025
https://github.com/winterwind/covid19_transfer_learning
A larger data science project that uses a 2D Convolutional Neural Network to determine the likelyhood of having covid-19 via CT images
2d-convolution adam-optimizer binary-classification cnn convolutional-neural-networks ct-images ct-scans eigencam gradcam heatmap jupyter-notebook matplotlib matplotlib-pyplot neural-networks numpy pyplot python pytorch resnet-18 transfer-learning
Last synced: 04 May 2026
https://github.com/mnitin-reddy/summer-olympics-data-analysis-web-app
An interactive web app for exploring trends in Olympic Games history, analyzing overall medal tallies, country-wise performance, and athlete demographics. Built with Python and Streamlit, this app offers insights through visualizations and data-driven statistics.
dataanalytics matplotlib numpy pandas python seaborn streamlit
Last synced: 12 Apr 2026
https://github.com/gregoritsch3/project_radioactive_decay
An analytic ( system of coupled ODEs), numeric (Runge-Kutta 4, Newton-Raphson) and stochastic (Monte Carlo) treatment of the chained radioactive decay of Bi[210, 83] into Po[210,84], as well as the emission of alpha-particles. Associated comments and paper are in Croatian.
cplusplus matplotlib montecarlo-simulation numerical-methods numpy python radioactive-decay scipy
Last synced: 12 Apr 2026
https://github.com/jpcano/boston_housing
Predicting Boston Housing Prices using supervised Machine Learning algorithms
cross-validation machine-learning numpy pandas python regression-models scikit-learn
Last synced: 12 Apr 2026
https://github.com/themihirmathur/soiligator
Soiligator is an advanced machine learning project designed to optimize irrigation management by predicting whether irrigation is necessary based on environmental and soil-related data.
auc-score logistic-regression machine-learning matplotlib numpy pandas python random-forest-classifier roc-curve scikit-learn seaborn standardscaler support-vector-machine
Last synced: 12 Apr 2026
https://github.com/emhash/machine-learning-and-ai
Personal tasks or codes of Machine Learning and Artificial Intelligence. Practice codes and projects of Ml/AI will be share here.
ai datasets ipynb jupyter-notebook keras linear-regression logistic-regression machine-learning machine-learning-algorithms numpy opencv pandas python seaborn sklearn tensorflow
Last synced: 05 Jan 2026
https://github.com/binakot/python3-course
course data-science learning matplotlib numpy pandas python
Last synced: 11 Apr 2026
https://github.com/armahdavi/mlops
Productionizing ML Models using a variety of tools including FastAPI, Flask, Doocker, AWS, GCP, TensorFlow Extended (TFX), and TF.js.
apache-beam docker fastapi logistic-regression mlops mlops-workflow numpy random-forest sklearn tensorflow-extended unicorn xgboost
Last synced: 12 Apr 2026
https://github.com/yoavram/numpycharm
Some examples on using PyCharm with Scientific Python
cython numpy pycharm python scientific-computing training-materials
Last synced: 11 Apr 2026
https://github.com/rggh/satchad
findthatbit.com + findthatbit.info
bitcoin docker fastapi findthatbit huggingface-transformers nginx numpy qdrant qdrant-vector-database sentence-transformers youtube
Last synced: 07 Apr 2026
https://github.com/filip-kustura/python-covid-19-behaviors-analysis
Using Jupyter Notebook, this university project analyzes attitudes and behaviors related to the COVID-19 pandemic using a two-year survey from Imperial College London and YouGov research company. Utilizing Pandas, NumPy and Matplotlib, the data analysis focuses on three countries, exploring trends and insights throughout the pandemic.
covid-19 data-analysis data-visualization jupyter-notebook matplotlib numpy pandas python university-project
Last synced: 12 Apr 2026
https://github.com/nadahamdy217/movies-data-etl-using-python-gcp
Developed a comprehensive ETL pipeline for movie data using Python, Docker, and a GCP Pub/Sub emulator. Successfully processed and published the data in a local Docker environment, showcasing advanced data engineering skills.
analytics data data-engineering data-ingestion data-preparation data-preprocessing data-processing data-project docker etl etl-pipeline gcp matplotlib matplotlib-pyplot numpy pandas pubsub python scipy seaborn
Last synced: 06 Jan 2026
https://github.com/pomxark/smartdictor_0.1_nuitka_cleer
Распознание и озвучивание голосовым движком текста с экрана.
cv2 fuzzywuzzy kivy matplotlib-pyplot nuitka numpy pil pyautogui pyqt5 pytesseract pyttsx3 scipy silero simpleaudio torch
Last synced: 04 May 2026
https://github.com/gnikit/fileio
A template allowing to read multiple columns of tab or space delimited files. Similar functionality to numpy.loadtxt()
Last synced: 04 May 2026
https://github.com/krishbharadwaj5678/virtualmouse
computer-vision cv2 cvzone hand-tracking mouse numpy opencv python threading time virtual-mouse
Last synced: 11 Apr 2026
https://github.com/djdurga/google_play_store_apps_analysis
This data analysis project focuses on exploring and understanding the Google Play Store Apps dataset.
Last synced: 11 Apr 2026
https://github.com/fabricioarendtorres/streamauc
Light-weight package for classification metrics computed on streams or minibatches of data. Mainly for area under the curve (AUC) of precision-recall (PR) or receiver operating characteristic (ROC) curves. Supports multi-class setting with either macro- or micro aggregation..
classification-model machine-learning metrics numpy precision-recall-curve receiver-operating-characteristic
Last synced: 06 Jan 2026
https://github.com/project54321/stocksniper
"An interactive Stock Dashboard that visualizes historical prices, calculates key financial metrics, displays fundamental statements, and aggregates the latest news for any ticker — all in a sleek, easy-to-use Streamlit interface."
alphavantage finance numpy pandas plotly pypi python stock-market stocknews streamlit
Last synced: 11 Apr 2026
https://github.com/lorenzorottigni/ml-universities
Machine Learning python bootcamp: K mean clustering with public/private universities dataset
k-mean-clustering machine-learning numpy pandas python scikit-learn seaborn
Last synced: 05 Apr 2026
https://github.com/matiassenia/modelo-prediccion-temperatura
Proyecto de machine learning que utiliza TensorFlow para predecir temperaturas en grados Fahrenheit a partir de temperaturas en grados Celsius. Incluye un script de Python para entrenar el modelo y realizar predicciones, así como datos de entrenamiento y visualizaciones
adam-optimizer machine-learning numpy python python3 tensorflow
Last synced: 11 Apr 2026
https://github.com/rizkyrajitha/ann_101
A really simple neural network for binary classification written from scratch using python
Last synced: 08 May 2026
https://github.com/alisonmitchell/countries-of-the-world
Exploratory Data Analysis of US Government data from the World Factbook to investigate GDP ($ per capita), Literacy (%) and Phones (per 1000).
data-science machine-learning matplotlib numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/bhushan148/ipl-stats-analysis
This project explores IPL data to show team and player performances. 📈 Key highlights include analyzing match results, highest scores, and performance at different venues. 🏟️ It uses charts to reveal trends like win margins and average scores by venue. 📉 Discover important insights into what affects match outcomes and team success.
jupyter-notebook markdown matplotlib-pyplot numpy pandas python seaborn
Last synced: 12 Apr 2026
https://github.com/visu512/spotify-music-recommender
Built Spotify Music recommendation system using Machine learning
csv-files dataset jupyter-notebook kmeans-clustering machine-learning matplotlib numpy panda python scikit-learn spotify-api stream vscode
Last synced: 12 Apr 2026
https://github.com/aleksandarbuk/machine-learning
The Machine Learning Library repository provides a collection of scripts and tools leveraging Scikit-Learn, Pandas, and NumPy for various machine learning tasks and data analysis.
matplotlib numpy python scikit-learn tensorflow
Last synced: 16 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/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/n1k1f0rm/ml-predicts
Place where you can find in transparent way how ML algos works
machine-learning ml numpy python
Last synced: 21 Apr 2026
https://github.com/alphan26/optimal-logistics-locator
This is a project in which we estimate the biomass avaibility of places due to their index and determine the optimal preprocessing depot and biorafinery in Gujarat, India
numpy pandas python sckit-learn
Last synced: 04 May 2026
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/yahiazakaria445/sentiment-analysis-using-lstm
A Sentiment analysis NLP project using LSTM model
matplotlib nltk numpy pandas scikit-learn seaborn tensorflow
Last synced: 11 Apr 2026
https://github.com/doondigangadhar30/ghiblify-animeganv3
A creative tool that generates beautiful Ghibli-style artwork from your image input.
colab-notebook jupyter-notebook numpy onnxruntime opencv python
Last synced: 01 Jul 2025
https://github.com/iv4n-ga6l/Simple-Image-Segmentation
Simple implementation of image segmentation using the Watershed algorithm
imagesegmentation matplotlib numpy opencv python watershed-algorithm
Last synced: 28 Apr 2025
https://github.com/asuquoaa/applied_data_science_with_python_study
Notes, codes and practicals on the Applied Data Science with Python specialization by UM
matplotlib numpy pandas seaborn
Last synced: 04 May 2026
https://github.com/hajaarh/malaria_hematie_cnn
Algorithme de réseaux de neurones convolutionnels
numpy pandas python resnet-50 sklearn-library tensorflow vgg16
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/aadrianleo/book-recommendation-system
Book Recommender System using the Book-Crossing dataset. Compares content-based (TF-IDF + cosine similarity) and collaborative filtering (SVD) methods for book recommendations. Includes data cleaning, EDA, and model evaluation (Precision@5, RMSE) in Python.
artificial-intelligence collaborative-filtering content-based-filtering cosine-similarity data-preprocessing jupyter jupyter-notebook machine-learning matrix-factorization numpy pandas predictive-modeling python3 recommendation-system recommender-system scikit-learn sckit-surprise
Last synced: 10 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/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/blacksujit/neural_network_using_numpy_and_math
Inspired from a repo . i have implemented an some ground level maths and logic . In this neural network no tensorflow , pytorch is used it is just prepared by using numpy and some logical math.
algorithmic-composition basics-of-python calculus criticalthinking innovation machine-learning maths neural-network neuralnetworkusingnumpy numpy purebasics
Last synced: 26 Aug 2025
https://github.com/carol-neto/sprint-4-statistical-data-analysis
In this project I had the opportunity to test my knowledge by analyzing a phone plan and creating graphs to compare the plans and determine which ones generate the most revenue.
matplotlib-pyplot numpy pandas pytho scipy-stats seaborn statistical-analysis
Last synced: 09 May 2026
https://github.com/dane-meister/machine-learning-algos
Repository of several ML algorithms implemented for different environments and robot control vectors.
colab-notebook gymnasium jupyter-notebook machine-learning-algorithms numpy opencv pybullet python pytorch
Last synced: 11 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/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/vladd12/machine-learning-practice
Репозиторий для учебной практики и различных курсов, связанных с ИИ
json keras-tensorflow machine-learning numpy pandas pickle tensorflow2 torch xml
Last synced: 05 May 2026
https://github.com/sadegh15khedry/housing-prices-prediction-using-randomforest
This repository contains an implementation of random forest model to predict housing prices using the Boston Housing dataset.
csv joblib jupyter-notebook matplotlib numpy pandas pil python random-forest seaborn sklearn
Last synced: 27 Feb 2025
https://github.com/sadegh15khedry/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: 27 Feb 2025
https://github.com/frauvate/cheatsheet
This project provides ready-to-use templates for machine learning base models. This repo, which contains templates of common models in Jupyter notebook format, aims to help users quickly implement these models and easily adapt them to their own projects.
machine-learning machinelearning matplotlib numpy pandas python scikit-learn
Last synced: 11 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/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/theanujsinha01/seoul-bike-sharing-demand-prediction
This project predicts the demand for bike-sharing services in Seoul using machine learning algorithms. It utilizes historical data and environmental factors to provide accurate predictions that can aid in resource optimization and planning.
data-cleaning data-science exploratory-data-analysis feature-engineering jupyter-notebook machine-learning matplotlib model numpy pandas seaborn
Last synced: 10 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/csengupta1101/housing-price-prediction
Based on given features , this project deals with the prediction of house prices. From data extraction till deployment , everything is detailed in here.
jupyter-notebook matplotlib numpy pandas python python3 scikit-learn vscode
Last synced: 11 Apr 2026
https://github.com/sahu-sakshi/covid-19
A comprehensive data analysis project for COVID-19 pandemic data, featuring automated data collection, feature engineering, visualization tools, and exploratory analysis notebooks.
Last synced: 05 May 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/ksalekk/mlp-nn
classification multilayer-perceptron neural-networks numpy python
Last synced: 24 Apr 2026
https://github.com/omarsaad21/shopping-cart-eda
An EDA python project focusing on getting the most out of a movies dataset (- 1- combine this data together - 2- check messing values - 3- show summary statistics - 4- deal with date time and extract features from dates - 5- answer at least three questions from this data)
eda jupyter-notebook numpy pandas plotly python
Last synced: 13 Apr 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/muskan-setiya/spotify-data-analysis
Used Spotify.csv from Kaggle
matplotlib numpy pandas python seaborn tableau
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/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/singhvishal003/brain_stroke_prediction
Brain Stroke Prediction according to age and Health Condition.
matplotlib numpy pandas sklearn
Last synced: 13 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/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/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/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/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/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/junaidsumsaal/advanceparkingsystem
Its a web application that integrates AI-powered parking spot predictions, real-time notifications, and role-based dashboards for Drivers, Attendants, and Providers. This system is designed to streamline parking operations, enhance user experience, and leverage machine learning for future availability predictions.
axios-react chakra-ui-react data-science met metrics ml numpy pand python3 react sklearn tailwindcss typescript
Last synced: 11 Apr 2026
https://github.com/mohamed15058/amazon-sales
amazon-sales
dashboard excel machine-learning-algorithms matplotlib numpy pandas powerbi report seaborn
Last synced: 13 Apr 2026
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/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/gyselle-marques/face-detection
Machine Learning: Face Detection System created using OpenCV.
colab-notebook face-classification face-detection machine-learning numpy open-cv-face-detection opencv opencv-python python
Last synced: 13 Apr 2026
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/pb319/california_house-price-prediction
This is going to be my first end to end ML project implementation covering all required stages taking guidence from book called "Hands On Machine Learning".
evaluation-metrics hyperparameter-tuning jupyter-notebook kfold-cross-validation machine-learning matplotlib numpy pandas python scikit-learn seaborn train-test-split
Last synced: 11 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
https://github.com/vc-nithesh944/pandas_numpy
Practice repository for NumPy & Pandas with scripts, notebooks, and notes for future revision
Last synced: 05 May 2026
https://github.com/nikhil-donthusaram/heartdiseaseprediction
Heart Disease Prediction App is a machine learning web application that predicts the likelihood of heart disease based on user medical inputs. Built using a Decision Tree Classifier and deployed with Streamlit for an interactive, user-friendly interface.
data-analysis descision-tree joblib jupyter-notebook machine-learning matplotlib numpy pandas python3 seaborn sklearn streamlit vscode
Last synced: 11 Apr 2026
https://github.com/patex1987/ghcn-temperature-dataset
Analysis of GHCN (Global Historical Climatology Network) temperature dataset using Numpy
climate-data jupyter-notebook numpy python temperature-data
Last synced: 10 May 2026
https://github.com/hariprasath-v/av-dataverse-hack---insurance-claim-prediction
Create a machine learning model to predict if the policyholder will file a claim in the next 6 months or not based on the set of car and policy features.
analyticsvidhya classification exploratory-data-analysis f1-score matplotlib numpy pandas python randomforest-classification scikit-learn seaborn shap
Last synced: 11 Apr 2026