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: 2026-07-02 00:21:34 UTC
- JSON Representation
https://github.com/docsallover/spam-detection
Building a Spam Filter with Python: Using Machine Learning to Combat Spam
datascience flask jinja2 machine-learning numpy numpy-library pandas pandas-python python python3 scikit-learn
Last synced: 09 Apr 2026
https://github.com/kshitijshrivastava1903/data-science-and-machine-learning-projects
Used supervised and unsupervised machine learning algorithms for classification and regression tasks on real datasets
decision-trees kmeans-clustering knearest-neighbor-algorithm linear-regression machine-learning-algorithms matplotlib-pyplot numpy pandas random-forest-classifier seaborn support-vector-machines
Last synced: 09 Apr 2026
https://github.com/jonad/dog_detection_app
Identify dog breeds using Convolutional Neural Network.
convolutional-neural-networks keras neural-network numpy opencv-python pandas resnet-50 scikitlearn-machine-learning transfer-learning vgg19
Last synced: 03 May 2026
https://github.com/kernferm/presfutimpactsim
This repository contains a Python simulation model that forecasts political, economic, and social factors under a hypothetical presidency. Users input initial values, and the model simulates their progression through defined interactions and random variations.
economic-model forecasting matplotlib numpy political-model python scipy simpy simulation social-model
Last synced: 07 Jan 2026
https://github.com/simran2911/restaurant_rating_pridiction
This github repository have restaurant rating analysis and understand what contributes to high or low ratings on the platform and how these insights can be leveraged for business decision-making.
jupyter-notebook machine-learning numpy pandas powerbi python sklearn statistics tableau
Last synced: 17 Feb 2026
https://github.com/bytraembedded/Laptop-Price-Prediction-with-Machine-Learning
The Laptop Price Prediction with Machine Learning project provides a system to predict the price of laptops based on various features such as processor type, RAM size, storage capacity, and more/
airflow data data-science data-visualization fastapi heroku-deployment machine-learning-algorithms matplotlib-pyplot numpy pandas python reactjs seaborn
Last synced: 30 Dec 2025
https://github.com/redreaper420/reversible-image-censorship-tool
Primitive encryption and decryption scripts for PNG images.
censorship cryptography image image-manipulation numpy pillow png python steganography
Last synced: 17 May 2026
https://github.com/mshirazkamran/swarm-intelligence-example
This repo shows the usage of PSO to sovle the problem the putting N warehouses in an MxN grid with various contraints such as army zones, residential areas
example matplotlib numpy optimization-algorithms particle-swarm-optimization pso pso-algorithm python3 swarm-intelligence
Last synced: 17 May 2026
https://github.com/hit07/data_science
Data [ Exploration, Cleaning, Manipulation, Visualisation ]
data-analysis data-cleaning data-exploration data-manipulation data-visualization eda jupyter-notebook matplotlib numpy pandas-dataframe scipy
Last synced: 27 Mar 2025
https://github.com/vidyasagarmsc/pydataflownote
As I explore Python libraries....
jupyter-notebook numpy python pytorch scikit-learn scipy tensorflow
Last synced: 27 Sep 2025
https://github.com/ahammadshawki8/numpy-journey
🎉 Welcome to the journey with NumPy! From this repository, You can learn all about Numpy. ✔
array beginner-friendly math numpy python
Last synced: 02 Aug 2025
https://github.com/moeeinaali/fop2023-python-project-sut
Fundamental of Python Programming - Fall 2023 - Instructor: Mr. Malekzadeh
data-science fundamentals-of-programming matplotlib numpy pandas python
Last synced: 18 Jul 2025
https://github.com/florianwoelki/mnist_fashion_cnn
This is a classification problem based on the mnist fashion dataset. I've used a CNN to classify the images.
classifier cnn fashion keras mnist numpy pandas tensorflow
Last synced: 08 Apr 2026
https://github.com/elhariri78/case-study-a-better-smoker-detector
Case Study-A better Smoker Detector
data dataframe evaluation kaggle matplotlib-pyplot numpy pandas pandas-dataframe pandas-python python3 seaborn sklearn
Last synced: 07 Apr 2026
https://github.com/prashver/salary-prediction-on-scraped-data
This tool predicts data science salaries by scraping Glassdoor job descriptions. Features quantify company valuation of key skills. Regression models include Multiple Linear Regression, Lasso Regression, and Random Forest. Random Forest outperformed others. Technologies/libraries used: Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib.
data-scraping machine-learning-algorithms matplotlib numpy pandas regression-models salary-estimator seaborn selenium selenium-webdriver
Last synced: 06 Apr 2026
https://github.com/estaheri7/beijing-housing-analysis
Analyzes housing data from Beijing city
jupyter-notebook matplotlib-pyplot numpy pandas python3 searborn
Last synced: 13 Apr 2026
https://github.com/srgrace/data-cleaning-challenge
Data Cleaning Challenge
data-science jupyter-notebook numpy pandas python scikit-learn
Last synced: 09 Apr 2026
https://github.com/medyessinkhlif/medclaimml
An AI-powered machine learning application designed to process healthcare reimbursement claims. It analyzes medical documents, client information, insurance policies, and legal regulations to predict accurate reimbursement amounts, ensuring efficiency, compliance, and fraud detection.
healthcare jest-tests mern-stack mongodb nodejs nosql numpy pytorch react scikit-learn tailwindcss
Last synced: 13 May 2025
https://github.com/rakibhhridoy/imageprocessing
Large amount of image processing is quite messy and time consuming,thus the working steps should be fast as well as accurate also. I've made sequential functions that is needed for processing data in TensorFlow and python. These functions made my work fast as it needed in commercial purposes.
augmentation deep-learning functional-programming image-manipulation image-processing keras machine-learning numpy python sequential-patterns tensorflow
Last synced: 08 Apr 2026
https://github.com/willprice/arsenal
Personal arsenal of python utilities
data-science machine-learning numpy pandas personal-tools python
Last synced: 09 Apr 2026
https://github.com/theanujsinha01/customer-segmentation-using-k-means-clustering
This project focuses on customer segmentation using the K-Means clustering algorithm. A user-friendly Streamlit dashboard allows users to upload their own dataset, choose any two numeric features (like age, income, or spending score), and perform clustering. The app dynamically visualizes customer groups, recommends the best number of clusters
jupyter-notebook k-means-clustering machine-learning matplotlib numpy pandas python seaborn streamlit unsupervised-learning
Last synced: 09 Apr 2026
https://github.com/hariprasath-v/mh_google_cloud_bigquery_ltv_prediction_challenge
Build a model that can predict customers' Long Term Value (LTV).
bigquery colab-notebook klib machine-learning matplotlib numpy pandas python python3 seaborn
Last synced: 09 Apr 2026
https://github.com/hanai/nb_quantopian
量化交易笔记
jupyter numpy pandas python quantitative tiingo
Last synced: 09 Apr 2026
https://github.com/yanboishere/Trade.with-SuperTrend.parameter
OKX API to confirm the process of appearance and disappearance of upper or lower limit lines for the super trend parameters in crypto trading pairs in TraderView, and perform multiple buying and selling transactions based on this parameter index.｜对于crypto交易对中 TraderView中的超级趋势参数 出现以及消失上限线或下限线前后过程进行确认 从而根据该参数指标的出现 进行多次合约做多&做空 开仓买卖 （使用OKX api）
bitcoin blockchain bot btc crypto cryptocurrency cryptography numpy okx okx-api okx-sdk okx-v5 python talib trade trade-bot tradebot
Last synced: 22 Oct 2025
https://github.com/yukti-09/linear-regression
A small code for understanding linear regression.
linear-regression matplotlib mean-squared-error numpy
Last synced: 17 May 2026
https://github.com/tynab/lottery
Xổ số kiến thiết
crawl da data-analyst deep-learning dl jupyter-notebook lottery matplotlib numpy pandas pip pip3 py python scikit-learn sklearn tynab xo-so xo-so-kien-thiet yan
Last synced: 03 Aug 2025
https://github.com/jayanthpotluri5513/ml-project-on-iris-dataset-
In this machine learning project, we explore and analyze the famous Iris dataset. The goal of the project is to apply various machine learning techniques to classify the Iris flowers based on their measured features.
machine-learning matplotlib numpy pandas python streamlit
Last synced: 08 Apr 2026
https://github.com/jimmymugendi/neural-network-for-binary-classification
aws neural-networks numpy pandas sagemaker tensorflow
Last synced: 09 Apr 2026
https://github.com/gaurav9364/credit-card-fraud-detection
Credit Card Fraud Detection using Machine Learning – A classification project that detects fraudulent credit card transactions using supervised learning, with data preprocessing, handling class imbalance, and model evaluation (ROC-AUC, Precision, Recall, F1-score).
googlecolab imbalanced-learn matplotlib numpy pandas python scikit-learn seaborn xgboost
Last synced: 08 Apr 2026
https://github.com/georgehanymilad/heart-disease-detection
Machine Learning Project
anaconda classification classification-algorithm dataanalysis datascience kaggle machine-learning machine-learning-algorithms matplotlib numpy pandas python python3 seaborn
Last synced: 07 Apr 2026
https://github.com/vidhi1290/essay-quality-prediction-keystroke-analysis-with-randomforest
Explore the Essay Quality Prediction project—a machine learning model that predicts essay quality based on typing behaviors. Leveraging a Random Forest Regressor, this tool provides insights into writing processes. Connect with me on LinkedIn and find more projects on GitHub. Happy coding! 📝✨
essay-quality-prediction kaggle-competition machine-learning mean-square-error nlp-machine-learning numpy pandas random-forest random-forest-regressor scikitlearn-machine-learning seaborn sklearn
Last synced: 03 May 2026
https://github.com/inoles/resumeinsight
AI-powered resume screening tool
numpy pandas pandas-python pdfminersix python resume resume-screening spacy spacy-nlp
Last synced: 05 May 2026
https://github.com/md-emon-hasan/numpy-pandas-matplotlib-seaborn
A collection of tutorials and examples showcasing the usage of Numpy, Pandas, Matplotlib, and Seaborn for data manipulation and visualization.
data-science data-visualization matplotlib numpy pandas python seaborn
Last synced: 06 Apr 2026
https://github.com/paulo-santos-ds/rotatividade_de_clientes
A operadora de comunicações InternetGO está interessada em prever a rotatividade de seus clientes (churn). Se for identificado que um usuário está planejando trocar de operadora, a empresa poderá oferecer códigos promocionais e opções de planos especiais para evitar a perda desse cliente.
catboost numpy pandas pyplot python seaborn sklearn
Last synced: 09 Apr 2026
https://github.com/arunagirinathan-k/text-classifier-using-nlp_techniques
A Text Classification using NLP Techniques.
matplotlib nlp nltk numpy pandas scikit-learn seaborn spacy text-classification
Last synced: 09 Apr 2026
https://github.com/its-maneeshk/fake-product-detection-system
The Fake Product Review Detection System is a machine learning-powered web application designed to analyze and detect fake reviews on eCommerce platforms. It helps users identify whether a product has genuine or manipulated reviews by leveraging Natural Language Processing (NLP) and supervised learning models.
api beautifulsoup4 fetch-api flask html-css-javascript joblib nlp-machine-learning numpy pandas python reactjs requests scikit-learn
Last synced: 05 Mar 2025
https://github.com/datarohit/nfl-big-data-bowl-2022--analysis
This is a Jupyter Notebook containing the analysis performed on a Kaggle Competition Dataset which contains data about NFL players and games.
kaggle kaggle-competition matplotlib-pyplot numpy pandas plotly python seaborn
Last synced: 09 Apr 2026
https://github.com/shreeparab1890/movie-recommender-system
This notebook is trying to build a model which will recommend the movie based on given movie and genre. In this we use Popularity Based Recommendation, Content Based Recommendation and Collaborative Filtering based Recommendation.
bag-of-words cosine-similarity matplotlib numpy pandas python scikit-learn sklearn vectorization
Last synced: 09 Apr 2026
https://github.com/ki3mono/naive_bayes_classifier
This project implements Naive Bayes Classifiers for two data types: Multinomial Naive Bayes Classifier and Gaussian Naive Bayes Classifier. Developed as part of the Probability Theory and Statistics course in the second year of Computer Science at AGH University of Krakow.
iris-dataset mushroom-dataset naive-bayes-classifier numpy python scikit-learn
Last synced: 06 May 2026
https://github.com/ksasi/boston_housing
Predicting Boston Housing Prices - Udacity
machine-learning numpy pandas python scikit-learn
Last synced: 08 Apr 2026
https://github.com/fractalyze/zk_dtypes
A NumPy dtype extension used in Zero Knowlege libraries
Last synced: 02 Jan 2026
https://github.com/oleksiilatypov/face_app_edit
DRU style gan project
cnn gan matplotlib-pyplot numpy pytorch-tutorial
Last synced: 19 May 2026
https://github.com/ankushmallick1100/Diabetes-Prediction-of-Females-using-Maching-Learning-Techniques
This is a machine learning project that uses various machine learning algorithms to predict whether a patient is diabetic or not. Here various machine learning algorithms like SVM, RF Classifier, DT Classifier, KNN, LR , LRwith CV, NB Classifier, and XGB are used. For this work, a website is made with Python Streamlit library. Paper is ongoing.
classification cross-validation decision-tree-classifier diabetes diabetes-prediction jupyter jupyter-notebook logistic-regression machine-learning machine-learning-algorithms numpy pandas python random-forest random-forest-classifier regression streamlit support-vector-machine xgboost xgboost-classifier
Last synced: 29 Sep 2025
https://github.com/quantum-software-development/qiskit
qiskit circuits on IBM Quantum
Last synced: 30 Jul 2025
https://github.com/hq969/ecomind
EcoMind is an end-to-end AI-driven sustainability platform designed to address two critical global challenges: accurate climate forecasting and energy-efficient computing infrastructure. The system integrates multimodal climate datasets (temperature, CO₂, humidity, sea-level data) with deep learning models to generate predictive climate scenarios.
kubernetes numpy pandas python reinforcement-learning tensorflow
Last synced: 01 Jul 2026
https://github.com/xaxm007/nn-numpy
A Basic Logistic Regression Neural Network using NumPy and calculus.
critical-indulgence logistic-regression neural-network numpy study
Last synced: 19 May 2026
https://github.com/aaa1928/iris-ml-classifier
PyTorch model that classifies Iris species based on characteristics about the length and width of sepals and petals.
deep-learning iris-classification iris-dataset machine-learning neural-network numpy pandas python pytorch scikit-learn
Last synced: 05 Apr 2026
https://github.com/madhuresh2011/amazon-sales-report-analysis-using-python
This project focuses on analyzing Amazon sales data using Python to uncover insights into sales performance, customer behavior, and product trends
charts cleaning-data data-analysis jupyter-notebook matplotlib numpy pandas python seaborn visualization
Last synced: 17 Apr 2026
https://github.com/officiallyxenos/30-days-of-data-analysis-projects-
30-day challenge to master data analysis by completing daily projects. Each project covers a key concept, from data cleaning to visualization, and builds a strong portfolio of real-world applications.
matplotlib numpy pandas python-3 seaborn statistics
Last synced: 08 Apr 2026
https://github.com/mr-chang95/ibm_recommendation_system
Data Science Project for Udacity's Data Scientist Program. Using Python in Jupyter Notebook.
experimental-design ibm-watson machine-learning numpy pandas recommendation-engine recommendation-system udacity-data-science-nanodegree
Last synced: 20 Apr 2026
https://github.com/zionc27/computational-art-with-genetic-algorithm
Genetic algorithm to iteratively generate an image resembling an original image
genetic-algorithm numpy photography pillow-library python
Last synced: 17 May 2026
https://github.com/RedInfinityPro/Laser-Strategy
Rating: (8/10): Is an interactive graphical simulation using Pygame library, featuring laser and detector dynamics. It includes pathfinding, collision detection, and dynamic object interactions. The game allows dragging, checking for collisions, and updating object states.
math numpy pygame random sys time
Last synced: 30 Sep 2025
https://github.com/aryehky/ml-theory-to-implementation
📚🧠 Explores core machine learning concepts through interactive, hands-on Jupyter notebooks. From building a neural network from scratch to applying dimensionality reduction and classification with real-world libraries, this project bridges the gap between theory and practical application.
4d-database jupyter-notebook machine-learning matploblib numpy pca-analysis
Last synced: 23 Jun 2025
https://github.com/ab23ms233/matrix-calculator
A Python-based matrix calculator for performing operations like addition, multiplication, inverse, determinant, eigenvalues, diagonalization, and matrix functions using NumPy, SymPy, and SciPy.
Last synced: 11 Aug 2025
https://github.com/melihcanndemir/3d-fractal-explorer
Interactive 3D visualization tool for exploring the mesmerizing world of Mandelbrot and Julia fractals. Built with Python, OpenGL and PyQt5, offering real-time animation and intuitive controls.
3d-graphics complex-numbers computer-graphics data-visualization educational fractal graphics-programming interactive julia-set mandelbrot math-visualization mathematical-art mathematics numpy opengl pyqt pyqt5 python scientific-visualization visualization
Last synced: 30 Jul 2025
https://github.com/nisaaragharia/neural-networks-from-scratch
Neural Networks from scratch
artificial-intelligence beginner machine-learning neural-network numpy pandas
Last synced: 07 May 2026
https://github.com/mariamabidi/pinn-based-flow-prediction
This repository contains code and experiments for predicting 3D aerodynamic flow around car geometries using Physics-Informed Neural Networks (PINNs) and for analyzing flow features via autoencoder-based clustering.
computer-vision machine-learning neural-network numpy pytorch pyvista scikit-learn
Last synced: 05 Aug 2025
https://github.com/anish202020/big-data-analysis-mini-project
The primary purpose of this code is to predict wind speed using an LSTM model. The model is trained on historical wind speed data to forecast future values.
keras matplotlib-pyplot numpy pandas sklearn
Last synced: 12 Apr 2026
https://github.com/malwarebo/carcinet
Basic breast cancer detection using Machine Learning
deep-learning keras machine-learning matplotlib numpy python3 scipy tensorflow
Last synced: 09 Apr 2026
https://github.com/naharashu/num.js
Fast and big library for mathematics and science work(analog of numpy for js)
arrays cdn javascript library math maths numjs numpy open-source web website
Last synced: 07 May 2025
https://github.com/edwardcdev/satellites-chart
A simple dashboard for satellites data statistics by displaying charts such as line-marker, histogram and box charts.
Last synced: 09 Apr 2026
https://github.com/gokulgowthams/clickstream-customer-conversion
Analyzes clickstream data from an e-commerce platform to predict customer conversions, estimate potential revenue, and segment users for personalized marketing strategies. By leveraging machine learning techniques, the project enhances decision-making for businesses seeking to optimize user engagement and sales.
data-preprocessing feature-engineering machine-learning matplotlib model-deployment numpy pandas pipeline python scikit-learn seaborn streamlit-web-application tensorflow xgboost
Last synced: 07 Apr 2026
https://github.com/wangwilly/osu-cse-5526
Some implementation of neural networks
bash linear-programming linear-regression neural-networks non-linear-optimization numpy poetry-python python rbf rbf-network svm
Last synced: 09 May 2026
https://github.com/ioangatop/machinelearning
Implementation and analysis of core Machine Learning Algorithms from scratch.
bayesian baysian-inference classification expectation-maximization gaussian-processes ica independent-component-analysis jupyter-notebook logistic-regression machine-learning multiclass-logistic-regression neural-network numpy polynomial-regression python3 regression support-vector-machines svm-classifier vae vae-pytorch
Last synced: 13 Apr 2026
https://github.com/charmee123/krishak_vriddhi
https://krishak-vriddhi.onrender.com
bootstrap css flask html javascript machinelearning-python numpy pandas scikit-learn
Last synced: 06 Apr 2026
https://github.com/matheussc017/irisclassification_sklearn
Application of Machine Learning technique to classify 3 types of iris flower
data-science machine-learning numpy pandas python
Last synced: 09 Apr 2026
https://github.com/thomasonzhou/minitorch
rebuilding pytorch: from autograd to convolutions in CUDA
Last synced: 02 Feb 2026
https://github.com/kentlouisetonino/sw-statistics-calculator
A CLI program that compute mean, median, and percentiles.
Last synced: 29 Mar 2025
https://github.com/sun-data/named-arrays
Python library that implements named tensors with Astropy Quantity support.
astropy named-arrays named-tensor numpy python scientific-computing
Last synced: 28 Oct 2025
https://github.com/mahnoorsheikh16/credit-card-default-prediction
This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.
encoding hiplot imblearn json knn-imputer logistic-regression matplotlib numpy pandas pca-analysis plotly scipy seaborn sklearn smote streamlit support-vector-machines timeseries-forecasting visualization xgboost-classifier
Last synced: 06 Apr 2026
https://github.com/theankurgoswami/study-notes
Notes of topics I study.😛
deep-learning-book linear-algebra numpy opencv pandas regular-expressions sql tensorflow
Last synced: 09 Apr 2026
https://github.com/rhazra-003/flight_delay_predictor
A ML model to predict Flight Delays
azure-storage jupyter-notebook matplotlib numpy pandas scikit-learn seaborn
Last synced: 13 Apr 2026
https://github.com/xenia101/local-outlier-factor
Deriving the Local Outlier Factor Score
algorithm algorithms classification local-outlier local-outlier-factor lof machine-learning numpy pandas python python3 sklearn sklearn-library
Last synced: 09 Apr 2026
https://github.com/mramshaw/ml_with_missing_data
How to handle missing or incomplete data
incomplete-data machine-learning matplotlib ml numpy pandas python python3 scikit-learn seaborn sklearn
Last synced: 07 Apr 2026
https://github.com/khaymanii/parkinsons-disease-detection-model
This model was built with Python and Support Vector Machine Algorithm
matplotlib numpy pandas python scikit-learn
Last synced: 19 Apr 2026
https://github.com/f1scher7/risk-master
RiskMaster is an intelligent platform for individual investors to assess cryptocurrency market risks. It combines historical trend analysis and predictive neural networks - LSTM
custom-implementation dense lstm-neural-networks numpy python streamlit-webapp
Last synced: 18 May 2026
https://github.com/rickymagner/nonlinear-gradient-descent
An example of using gradient descent to approximate noisy data sampled from a cubic curve.
matlab matplotlib numpy octave pandas python
Last synced: 09 Apr 2026
https://github.com/santiagoenriquega/custom_ensemble_learning
This repository focuses on building a random forest classifier and regressor as well as a gradient boosted regressor, building them from scratch using only NumPy for faster array processing.
numpy python python3 random-forest random-forest-classifier random-forest-regressor
Last synced: 15 May 2026
https://github.com/rushikeshbihade/django_bsased_dataanalyzer_webapp
Data Analyzer is a Django web application that enables users to upload CSV files, perform data analysis using pandas and numpy, and view results and visualizations on an interactive web interface. It simplifies data analysis by offering a user-friendly platform for data upload, processing, and visualization.
backend-development bootstrap css3 dataanalysis dataprocessing django-application django-framework djangotemplates html5 javascript numpy pandas plotly-express python3 seaborn-plots webapp
Last synced: 02 Mar 2026
https://github.com/xaxtric7/learn-numpy
🧮 Welcome to my NumPy Practice repository! This repo contains my hands-on learning, notes, and code experiments as I dive into the fundamentals and advanced features of NumPy – a powerful library for numerical computing with Python.
Last synced: 15 May 2026
https://github.com/vinicius999/eda-basketball-streamlit
Simple web application for viewing, filtering and analyzing Basketball data using Stremlit.
numpy pandas python streamlit webapp webscraping
Last synced: 07 Apr 2026
https://github.com/andystmc/nextflownyc
Developed a machine learning model (Bidirectional LSTM) to forecast NYC traffic volumes using 10 years of automated traffic count data. Achieved strong predictive accuracy, demonstrating the power of deep learning for urban traffic analysis.
data-analysis data-cleaning data-science data-visualization exploratory-data-analysis feature-engineering hyperparameter-tuning jupyter-notebook lstm-neural-networks machine-learning numpy pandas predictive-modeling python3 scikit-learn tensorflow-keras traffic-flow-forecasting
Last synced: 07 Apr 2026
https://github.com/ankushmallick1100/django-insurance-premium-predictor-web-app
This is a web app where a user can signup to the website first and then login to access the website. Then, he/she can give their age, select his/her gender, bmi, number of children, select whether he/she is a smoker or not, and select his/her region. Gradient Boosting Regressor is used in this project which gives the best accuracy of 89.798.
bootstrap bootstrap5 css django gradientboosting gradientboostingregressor html insurance-prediction insurance-premium-predictor machine-learning matplotlib numpy pandas python regression regression-models sklearn tailwind tailwind-css tailwindcss
Last synced: 09 Apr 2026
https://github.com/witch-world/iris-flower-classification-decision-tree-classifier
ai algorithms artificial-intelligence decision-tree decision-tree-classifier machine-learning machine-learning-algorithms machinelearning-python matplotlib numpy numpy-arrays pandas pandas-dataframe pandas-python python python3 scikit-learn
Last synced: 06 Apr 2026
https://github.com/quantum-software-development/statistical-measures
This repository contains a statistical analysis of customer service ratings for Biscobis Ltd
machine-learning mathematics mathp mathplotlib measurements numpy pandas puthon3 seaborn statisctics
Last synced: 12 Apr 2025
https://github.com/bhargav-joshi/img-caption-generator
Automatically creating the description or caption of an image using any natural language sentences is a very challenging task. It requires both methods from computer vision to understand the content of the image and a language model from the field of natural language processing to turn the understanding of the image into words in the right order. In addition to that we have discussed how this model can be implemented on web and will be accessible for end user as well.
flask jupyter-notebook keras machine-learning nlp nltk numpy pandas python tensorflow
Last synced: 09 Apr 2026
https://github.com/aymen016/film-recommendation-engine
A machine learning-powered movie recommender system designed to provide personalized recommendations based on user preferences and data analysis. This project includes a backend recommendation engine, a Streamlit-based interface, and a web-based frontend for an enhanced user experience.
flask numpy pandas pickle python scikit-learn streamlit
Last synced: 09 Apr 2026
https://github.com/Udacity-MachineLearning-Internship/finding_donors
First stage project at Udacity on the 'Intro to Machine Learning with TensorFlow' program using sckit-learn in python
csv machine-learning matplotlib numpy pandas python sckiit-learn seaborn sklearn udacity udacity-nanodegree
Last synced: 17 Jul 2025
https://github.com/rayyan9477/data-driven-house-price-prediction-and-property-recommendation-app
The app leverages algorithms to accurately predict house prices and recommend similar properties based on a saved dataset through content-based filtering. It is tailored for homebuyers seeking their dream house and real estate investors looking for profitable opportunities, providing powerful insights and data-driven decision-making support.
data-science eda html machine-learning numpy pandas python scikit-learn
Last synced: 06 Apr 2026
https://github.com/KernFerm/PresFutImpactSim
This repository contains a Python simulation model that forecasts political, economic, and social factors under a hypothetical presidency. Users input initial values, and the model simulates their progression through defined interactions and random variations.
economic-model forecasting matplotlib numpy political-model python scipy simpy simulation social-model
Last synced: 16 Oct 2025
https://github.com/geetisha/advanced-eda-and-text-mining
Advanced EDA and Text Mining
jupyter-notebook matplotlib nltk numpy pandas python spacy textblob wordcloud
Last synced: 08 Apr 2026
https://github.com/aakashks/ct-reconstruction-2d
Python Implementation of Computed Tomography (CT) reconstruction for 2D images
computed-tomography ct-reconstruction numpy
Last synced: 09 Aug 2025
https://github.com/msadeqsirjani/machine_learning_hands_on
A comprehensive machine learning repository containing different concepts, algorithms and techniques.
cnn computer-vision data-analysis data-science data-visualization deep-learning keras machine-learning matplotlib neural-network nlp numpy open-source pandas python rnn scikit-learn seaborn tensorflow
Last synced: 06 Apr 2026
https://github.com/vedanty3/heart-disease-prediction
This project aims to build a machine learning model using K-Nearest Neighbor, LogisticRegression, RandomForestClassifier to classify whether or not a person has heart disease based upon his medical attributes. (accuracy achieved : 88.52%)
confusion-matrix correlation-matrices jupyter-notebook knn-classification logistic-regression machine-learning matplotlib numpy pandas python random-forest randomforestclassifier roccurve scikit-learn sklearn zerotomastery
Last synced: 09 Apr 2026
https://github.com/aisurjyasamantaray/customer-purchase-analysis
This project involves an in-depth analysis of customer purchasing behavior and sales performance to drive business insights and strategies.
customer-purchasing customer-segmentation data-visualization dataanalysis dataanalysis-projects marketing-insights matplotlib numpy pandas python revenue-and-performance-analysis seaborn-plots
Last synced: 09 Apr 2026
