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An open API service indexing awesome lists of open source software.

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.

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/christabelsakyi/tsec

This project implements a time series forecasting solution for predicting electricity consumption based on historical data. It provides multiple model options, a Flask API for deployment, and visualization tools.

facebook numpy pandas python sklearn time-series-analysis

Last synced: 07 Oct 2025

https://github.com/christabelsakyi/product_purchase_prediction

As a newly hired AI Engineer, your task is to predict customer behavior based on various features such as age, income, and gender. This exercise involves cleaning the data, training a decision tree model, and evaluating the model's performance to understand the key factors influencing customer purchasing decisions.

machine-learning matplotlib-pyplot numpy python seaborn sklearn

Last synced: 08 May 2026

https://github.com/umer-farooq-cs/california-housing-regression

Linear Regression experiments on the California Housing dataset across five phases, using NumPy and scikit-learn only (no pandas). Includes EDA, polynomial features, SGD with scaling, residuals, 5-fold CV, and an LNCS-style report with figures.

california-housing cross-validation deep-learning-for-perception linear-regression numpy polynomial-features reproducible-research residual-analysis sgd sklearn

Last synced: 09 May 2026

https://github.com/nimaabediforud/heart-disease-prediction

The project highlights the end-to-end workflow of data preprocessing, model building, evaluation, and comparison for a healthcare prediction task.

biomedical-applications biomedical-data-science biomedical-engineering classification deep-learning machine-learning neural-networks numpy pandas prediction python seaborn sklearn tensorflow

Last synced: 15 Apr 2026

https://github.com/zolppy/recommendation-system

This project demonstrates the creation of a content-based image recommendation system. It leverages a pre-trained VGG16 deep learning model to extract meaningful feature vectors from images. These features are then compared using cosine similarity to identify and recommend visually similar images.

computer-vision deep-learning keras machine-learning numpy recommendation-system sklearn tensorflow vgg16

Last synced: 12 Apr 2026

https://github.com/prarthana-singh/bangalore-house-price-predictor

🏑 Bangalore House Price Prediction – A Machine Learning model to predict house prices in Bangalore using real estate data. Built with Linear Regression, Python, Pandas, NumPy, and Scikit-Learn.

data-analysis eda house-price-prediction linear-regression machine-learning numpy pandas python real-estate regression scikit-learn

Last synced: 19 Apr 2026

https://github.com/bharath-tars/deeptumor

DeepTumor is a project aimed at developing a deep learning model with over 1 million parameters using TensorFlow. with automatic reporting feature

keras machine-learning numpy pandas pyhton tensorflow webdevelopment

Last synced: 10 Apr 2026

https://github.com/maximlevchenko/pandas-numpy-hippocampus-analysis

This project aims to analyze the differences in hippocampus size between two groups: "Unaffect" and "Affected" using pandas, numpy and matplotlib

jypyternotebook matplotlib numpy pandas pyreadr seaborn statsmodels

Last synced: 16 Apr 2026

https://github.com/lfgodoi/rpm-deep-estimator

A deep learning-based RPM estimator based on spectral features extracted from vibration signals of rotating machines.

condition-monitoring deep-learning docker flask neural-networks numpy python scipy signal-processing spectral-analysis

Last synced: 26 Feb 2025

https://github.com/urvee1810/air-quality-prediction-using-arima

Analyzed Beijing's air quality data using time series analysis and ARIMA modeling to forecast PM2.5 pollution levels. Identified seasonal patterns and correlations between pollutants, revealing insights into urban air quality trends and potential contributing factors.

arima-model dickey-fuller-test matplotlib numpy pandas python seaborn statistical-analysis time-series-analysis

Last synced: 16 Apr 2026

https://github.com/pedasoft-consult/employee-attrition-prediction

This project implements a machine learning pipeline for predicting employee attrition using HR data. The system analyzes various factors that contribute to employee turnover and provides predictions to help HR departments take preventive measures.

joblib numpy pandas python3 sklearn streamlit

Last synced: 10 Apr 2026

https://github.com/gaball1/alzheimer-prediction-ai

Alzheimer Prediction is a machine learning-based project designed to predict the likelihood of Alzheimer’s disease using clinical and imaging data. The project features an interactive web application built with Streamlit, enabling users to input key data, view predictions, and explore visualizations .

ai data-mining gradient-boosting jupyter-notebook logistic-regression logistic-regression-algorithm machine-learning matplotlib-python models numpy pandas python random-forest-classifier streamlit xgboost-classifier

Last synced: 11 Apr 2026

https://github.com/thkox/uni_2023-content-based-image-retrieval

This project is a team assignment for the "Image Analysis" course, offered in the 7th semester of the 2023 academic year at the University of Piraeus, Department of Informatics.

7th-semester cartesian-product content-based-image-retrieval department-of-informatics hyperedge-similarity-calculation hypergraph image-analysis matplotlib networkx numpy python rank-normalization scipy torchvision university-of-piraeus

Last synced: 08 Oct 2025

https://github.com/NetBr3ak/Planetary-System-Simulation

Planetary System Simulation enables users to simulate the trajectories of two planets in a gravitational system. Through a simple web interface, users can predict planetary movements using technologies such as Flask, NumPy, and SciPy.

astronomy flask gravitational-dynamics numerical-analysis numpy physics planetary-systems scipy simulation web-application

Last synced: 08 Oct 2025

https://github.com/lorenzorottigni/ml-iris-svm

Machine Learning python bootcamp: Support Vector Machines on iris flower dataset

ipynb machine-learning numpy pandas python scikit-learn seaborn support-vector-machines

Last synced: 10 Apr 2026

https://github.com/roaajadaa/text-classification

Classify documents using custom naΓ―ve bayes model

matplotlib nlp nltk numpy pandas python sklearn

Last synced: 10 Apr 2026

https://github.com/aadityasikder/neural-network-from-scratch-

This notebook demonstrates a neural network implementation using NumPy, without TensorFlow or PyTorch. Trained on the MNIST dataset, it features an architecture with input layer (784 neurons), two hidden layers (132 and 40 neurons), and an output layer (10 neurons) with sigmoid activation.

backward-propagation evaluation forward-propagation mnist-dataset neural-network neural-networks-from-scratch numpy training

Last synced: 16 Apr 2026

https://github.com/als8446/tripleten-data-science-projects

Projects Overview Projects made in the Data Scientist course from TripleTen LatAm

data data-analysis hypothesis-tests machine matplotlib numpy pandas python scipy sklearn

Last synced: 10 Apr 2026

https://github.com/ahmrina/unetbraintumorseg

UNetBrainTumorSeg is a 3D Slicer extension named "seg_module" that integrates a 3D UNet trained on BraTS2020 dataset to segment brain tumor area from MRI volumes

3d-slicer-extension monai numpy python pytorch slicer unet vtk

Last synced: 07 May 2026

https://github.com/alex-s2222/mem_chat_bot

Ρ‚Π΅Π»Π΅Π³Ρ€Π°ΠΌΠΌ Π±ΠΎΡ‚ для создания gif ΠΈΠ· тСкста Π²Π²Π΅Π΄Ρ‘Π½Π½ΠΎΠ³ΠΎ ΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Ρ‚Π΅Π»Π΅ΠΌ

cv2 google-api moviepy numpy python python-telegram-bot requests

Last synced: 08 Oct 2025

https://github.com/hajdu-patrik/nlp_music-mood-classifier_bme_hf

This project is a Python-based NLP system that analyzes song lyrics to determine their emotional profile and recommends similar songs.

nlp nlp-machine-learning numpy pandas python

Last synced: 10 Nov 2025

https://github.com/ahmedabdalkreem/machine_learning_with_cv

In this project work to extraction feature from shapes to be input of machine learning model.

chaincode computer-vision contour-detection feature-extraction machine-learning matplotlib numpy open-cv pandas python sklearn svc-model

Last synced: 10 Apr 2026

https://github.com/eiichiroito/numpharo

NumPy like tools for Pharo Smalltalk

matplotlib-pyplot numpy pharo pharo-smalltalk smalltalk

Last synced: 18 Jan 2026

https://github.com/piyushxbhardwaj/credit-card-fraud-detection

In this project, we focus on developing a machine learning model to detect fraudulent transactions within credit card data. Credit card fraud poses a significant challenge to financial institutions and consumers globally, with traditional rule-based detection systems often struggling to adapt to new fraud tactics.

matplotlib numpy pandas python scikit-image seaborn

Last synced: 16 Feb 2026

https://github.com/fatimaafzaal/car_price_prediction

Trains Random Forest and Gradient Boosting models to predict car prices based on user inputs for various car attributes, evaluating models and making predictions using the best-performing model.

car-price-prediction ensemble-learning gradient-boosting matplotlib numpy pandas random-forest regression regression-models scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/kostadinlambov/algorithmic-trading-bot

The project aims to evaluate the predictive performance of different machine learning (ML) algorithms for Bitcoin trading. The proposed trading strategy integrates key technical indicators, including the Relative Strength Index (RSI), Simple and Exponential Moving Averages, and the Moving Average Convergence Divergence (MACD).

lightgbm machine-learning matplotlib mlflow numpy optuna pandas pickle random-forest scikit-learn scipy seaborn statsmodels xgboost

Last synced: 05 Apr 2026

https://github.com/shreeparab1890/duplicate-question-predictor

The ipython notebook is working to build a model which will detect duplicate questions if two questions pair are given.

bag-of-words nlp nlp-machine-learning nltk numpy pandas python random-forest scikit-learn sklearn streamlit

Last synced: 10 Apr 2026

https://github.com/rachakondaganesh/superstore-sales-data-analysis-project

Analyzed retail sales data to uncover key business insights using Python and Power BI. Explored patterns in profit, sales, and customer segments across regions. Built interactive dashboards to visualize trends, identify top-performing categories, and highlight areas for improvement in shipping and discount strategies.

dashboard exploratory-data-analysis matplotlib-pyplot numpy pandas powerbi seaborn

Last synced: 02 May 2026

https://github.com/lewis-morris/image_augment

Image augmentation for CNN's. Aiming to increase generalization.

augmentation image numpy python

Last synced: 18 Feb 2026

https://github.com/hmotez/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: 12 Apr 2026

https://github.com/ahmedabdalkreem/lung-cancer

It help to know the patient have lung cancer or not and show what depenent in this disease that lead to this disease.

matplotlib numpy pandas python sklearn-library

Last synced: 14 Apr 2026

https://github.com/ellennewerkla/eda_students_performance

EDA em Python com Pandas, Matplotlib e Seaborn para identificar padrΓ΅es de desempenho em estudantes.

matplotlib numpy pandas python3 seaborn

Last synced: 08 May 2026

https://github.com/nikhleshshukla123/web-scraping-using-python

scrapes multiple pages of Amazon search results using python.

beautifulsoup4 numpy pandas python

Last synced: 03 May 2026

https://github.com/s0fft/learning-lab

Code Notes & Test-Learn // Micro Pet-Projects: Python / Asynchrony / FastAPI / Django-Tastypie / DRF / Parsing / Telegram-Bot / SQL / Docker / DS / ML / etc.

asynchrony data-science django-rest-framework docker fastapi jupyter-lab jupyter-notebook mashine-learning matplotlib notes numpy pandas parsing python3 scikit-learn seaborn sql sqlalchemy tastypie telegram-bot

Last synced: 10 Apr 2026

https://github.com/gherrada22/spanish-sign-translator

This project uses Python and the OpenCV and MediaPipe libraries to detect and translate signs in real time.

language matplotlib mediapipe numpy opencv pycharm-ide python python3 spanish-language toml

Last synced: 18 Jan 2026

https://github.com/yappy2000d/pps-ndarray

Multi-dimensional array implementation

cpp numpy

Last synced: 18 Jan 2026

https://github.com/costrouc/xnd-notebooks

A collections of notebooks that demonstrate xnd, ndtypes, and gumath features

binder gumath ndtypes notebooks numba numpy xnd

Last synced: 16 Apr 2026

https://github.com/magnusrodseth/disaster-tweets

πŸ“š Assignments in the course IT3212 - Data Driven Software at NTNU. Our task is to classify whether a tweet is related to a disaster or not.

adaboost jupyter-notebook logistic-regression numpy pandas python python3 random-forest support-vector-machines xgboost

Last synced: 16 Apr 2026

https://github.com/screamman-ssh/video-camera-to-ascii

Convert a video file or camera captured to display as text.

ascii camera-to-text computer numpy opencv pillow python python-3 video-to-text

Last synced: 10 Apr 2026

https://github.com/hansalemaos/cv2pencil

Converts images to pencil sketches

filter numpy opencv pencil python

Last synced: 10 Apr 2026

https://github.com/saro0307/unemployment-analysis

This data science project delves into unemployment trends, using data analysis and machine learning to identify key factors and predict future joblessness rates, aiding policymakers and businesses in informed decision-making.

data-science datavisualization machine-learning matplotlib numpy pandas python seaborn skit-learn

Last synced: 10 Apr 2026

https://github.com/lorenzorottigni/dl-houses

Deep Learning python bootcamp: exploratory data analysis & deep learning on houses price dataset

deep-learning ipynb machine-learning numpy pandas python scikit-learn seaborn tensorflow

Last synced: 11 Apr 2026

https://github.com/bhavnanahar/coral_project

ChatGPT said: This project analyzes and predicts the health of coral reefs in the Florida Keys by examining coral cover and species richness trends over time.

colab-notebook matplotlib numpy pandas plotly python random-forest scikit-learn seabo

Last synced: 14 Apr 2026

https://github.com/ejw-data/tableau-songs

Brief analysis of songs from 1890 - 2015 using pandas and Tableau

numpy pandas python songs tableau

Last synced: 16 Apr 2026

https://github.com/sujal2004/stock-analysis-project

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

jupyter-notebook matplotlib numpy pandas python stock-market

Last synced: 10 Apr 2026

https://github.com/gojoel/brockton-data-analysis

Analyzes police logs from the city of Brockton, MA and attempts predictive analysis.

data-science exploratory-data-analysis geopy machine-learning matplotlib numpy pandas seaborn

Last synced: 09 May 2026

https://github.com/arsh-pixel-cmd/ai-image-classifier

AI Image Classifier is a web app that uses AI and deep learning to classify images in real-time. Built with Streamlit, TensorFlow (MobileNetV2), OpenCV, and NumPy, it allows users to upload single or multiple images and get the top-3 predictions with confidence scores instantly in the browser.

docker numpy opencv python3 streamlit tensorflow2 uv

Last synced: 10 Apr 2026

https://github.com/null-none/pyignite

Simple deep learning library

deep-learning machine-learning ml numpy python

Last synced: 06 May 2026

https://github.com/amruta33/telecom-churn-case-study

Building a classification model for reducing the churn rate for a telecom company.

logistic-regression matplotlib numpy pandas plotly python seaborn skit-learn statmodels

Last synced: 14 Apr 2026

https://github.com/dmarks84/coursework_project_image-text-recognition

Project for University of Michigan Python Programming Specialization -- Read in documents with images and text, and utilized CV libraries/packages to extract specific types of images and text, pairing them together

classification computer-vision image-classification numpy pandas programming python text-classification

Last synced: 14 Apr 2026

https://github.com/vishalgaud17/stroke

A simple Streamlit web app that predicts stroke risk based on user input features like age, BMI, glucose level, and lifestyle factors, using a pre-trained machine learning model.

machine-learning numpy pandas python scikit-learn streamlit

Last synced: 14 Apr 2026

https://github.com/sohitbennett/roadsafe

A Deep learning computer vision system for real-time traffic safety monitoring.

computer-vision esrgan keras numpy pandas python scikit-learn tensorflow tesseract-ocr yolov5 yolov8

Last synced: 08 Apr 2026

https://github.com/tralahm/datascience

Getting started with Data science Numerical Analysis and Scientific Computing

hmmlearn ipynb jupyterlab keras numpy pandas python3 scipy tensorflow

Last synced: 10 Apr 2026

https://github.com/ianhaggerty/final-capstone

This represents the final capstone project in my HyperionDev Data Science (fundamentals) course. A dataset of Amazon customer reviews is analysed using natural language processing.

amazon data-analytics data-science data-visualization dataset matplotlib nlp nlp-machine-learning numpy pandas plotly reviews seaborn spacy tabulate textblob wordcloud

Last synced: 19 Jan 2026

https://github.com/teslaproduuction/data_analiz_al

ΠŸΡ€ΠΎΠ³Π½ΠΎΠ·ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ курса алюминия с использованиСм ΠΌΠΎΠ΄Π΅Π»ΠΈ ARIMAX

arimax csv django html-css-javascript numpy pandas python rss scipy sklearn sqlite yfinance-library

Last synced: 10 Apr 2026

https://github.com/thekartikeyamishra/colorextractor

A Python-based project that extracts the dominant colors from an image using the KMeans clustering algorithm. This project is useful for applications like image processing, color palette generation, or analyzing the most prominent colors in images.

kmeans-clustering matplotlib matplotlib-pyplot numpy p pillow python sklearn

Last synced: 05 May 2026

https://github.com/rscr1/summer_practice_mai_2

РСшСниС всСх Π·Π°Π΄Π°Π½ΠΈΠΉ Π»Π΅Ρ‚Π½Π΅ΠΉ ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΠΈ

matplotlib numpy pandas python scipy sympy

Last synced: 14 Apr 2026

https://github.com/gopikrsmscs/mycinepick-recommendation-system

MyCinePick is a user-specific movie recommendation system built using collaborative filtering techniques. This project aims to provide personalized movie suggestions tailored to each user's unique viewing preferences and habits.

collaborative-filtering movie-recommendation-app numpy python3 recommendation-system sklearn streamlit

Last synced: 14 Apr 2026

https://github.com/ledsouza/curso_de_estatistica_parte_4

Projeto de estatística para estudo de correlação e regressão

data-science data-visualization numpy pandas seaborn statsmodels vitrinedev

Last synced: 17 Apr 2026

https://github.com/tnel7/data-science-yandex-practicum

ΠŸΡ€ΠΎΠ΅ΠΊΡ‚Ρ‹ ΠΈΠ· ЯндСкс ΠŸΡ€Π°ΠΊΡ‚ΠΈΠΊΡƒΠΌΠ° "БпСциалист ΠΏΠΎ Data Science"

data-science machine-learning nlp-machine-learning numpy pandas seaborn sklearn

Last synced: 19 Jan 2026

https://github.com/hasnainroopawalla/sudoku-generator

This algorithm can generate and solve a random Sudoku Puzzle Board using Backtracking

backtracking numpy python sudoku-generator

Last synced: 16 May 2026

https://github.com/aathithya-shanmuga-sundaram/cyber-threat-intelligence-dashboard

Interactive Streamlit dashboard for visualizing and analyzing cyber threats, featuring real-time data insights, severity classification, geolocation mapping, and customizable dark-cyber UI.

cyber-threat-intelligence cyber-threat-tool cybersecurity cybersecurity-tools data-visualization dataset numpy pandas plotly python streamlit threat-intelligence

Last synced: 10 Nov 2025

https://github.com/chandkund/housing-price-prediction

Predict housing prices using the Boston Housing Dataset. Covers data loading, cleaning, preprocessing, EDA, normalization, standardization, and regression models (Linear Regression, Decision Tree, Random Forest, Extra Trees). Evaluated with Mean Squared Error (MSE). Tech: Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib.

data-science data-visualization matplotlib numpy pandas pyhton sklearn sklearn-library sklearn-metrics

Last synced: 21 Jan 2026

https://github.com/nirmit27/credit-risk-modeling

Classification and regression models for predicting the level of risk associated with extending credit to a borrower and the basic EPS amount respectively.

credit-risk credit-risk-analysis machine-learning ml ml-model ml-models modelling numpy pandas python python3 sckiit-learn

Last synced: 29 Apr 2026

https://github.com/thatguychandan/adoptimization

This project implements an ad optimization system using a hybrid approach combining Thompson Sampling and Upper Confidence Bound (UCB) algorithms. The system learns to select the most effective ads based on user context and historical performance.

numpy pandas plotly python pytorch reinforcement-learning scikit-learn streamlit thompson-sampling upper-confidence-bound

Last synced: 10 Apr 2026

https://github.com/vrush9840/emotion-detection-from-tweets-using-dl

Emotion detection from tweets using Deep Learning (LSTM & BERT) to classify emotions such as Positive, Negative, Neutral, and Irrelevant with emoji recommendations.

glove-embeddings lstm matplotlib nltk numpy pandas python seaborn shap tensorflow

Last synced: 10 Apr 2026

https://github.com/prithvi45/machine-learning-prerequisites

Basics to Advance concepts on Numpy, Pandas, Matplotlib

matplotlib numpy pandas python

Last synced: 09 Apr 2026

https://github.com/psgebeline/b2_plotter

A simple Python package for use by Belle II analysts to make various plots out of pandas dataframes and numpy arrays.

jupyter-notebook matplotlib matplotlib-pyplot numpy pandas pandas-dataframe python uproot visualization-tools

Last synced: 19 Jan 2026

https://github.com/venkat-a/python-eda-exploratory-data-analysis-

This project focuses on conducting exploratory data analysis (EDA) using Python. Utilizing powerful libraries such as Pandas for data manipulation and Plotly for interactive visualization, the project aims to uncover insights from datasets through comprehensive analysis and visualization techniques.

descriptive-statistics matplotlib numpy pandas seaborn statistical-analysis visualization

Last synced: 07 May 2026

https://github.com/applicativesystem/numpy-builder

code getter and numpty operator for numpy operations

data-analysis numpy numpy-python shell-script

Last synced: 15 Aug 2025

https://github.com/salma-mamdoh/the-android-app-market-on-google-play-project

My project aims to practice Data Analysis and Data Visualization on DataCamp

data-analysis data-visualization datacamp jupyter-notebook matplotlib numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/macktb/tetris

Tetris game

list-comprehension numpy

Last synced: 16 Apr 2026

https://github.com/thiagohrcosta/machinelearning-temperature

A Small Machine Learning application leveraging Scikit-Learn and statistical learning to extract knowledge from data without explicit programming.

machine-learning numpy pandas python3 scikit-learn

Last synced: 08 Apr 2026

https://github.com/priyanshulathi/air-quality-index-prediction

Machine learning based air quality index prediction using environmental and pollutant data to classify and forecast pollution levels.

machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 19 Jan 2026

https://github.com/bharath-tars/deeptumor2.0

DeepTumor2.0 is a project aimed at developing a flask webapp with robust front end and highly trained model using tensorflow in the backend with several features like with automatic html template reporting. **NOTE: DeepTumor2.0 has been moved from Azure to On-Render to save costs**

css datetime docs flask github html javascript keras numpy onrender os pandas python sheety smtp tensorflow

Last synced: 21 Jan 2026

https://github.com/kernel-loophole/numerical-computing

Numerical Computing use python(Numpy,metplotlib).

numpy python quantum-computing

Last synced: 17 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/lorenzorottigni/ml-breast-cancer

Machine Learning python bootcamp: Support Vector Machines using breast cancer dataset

ipynb machine-learning numpy pandas python scikit-learn seaborn support-vector-machines

Last synced: 14 Apr 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/khaymanii/calories-burnt-prediction-model

This model was built using Python and XGBoost Regression algorithm

matplotlib numpy pandas python scikit-learn

Last synced: 16 Apr 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

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