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AniruddhaNarayanAMT /XYZ-Bank-Customer-Churn-Predictor

Star35

Modular full-stack ML project leveraging Groq API, Streamlit, Supabase, JSON, SciPy, SciKit-Learn, Plotly & EmailJS, alongside libraries - NumPy, Pandas, Utils, OS, Base64, Re, Pillow & DateTime.

python json scikit-learn jupyter-notebook fintech openai naive-bayes-classifier html-css-javascript decision-tree-classifier svm-classifier smote emailjs random-forest-classifier streamlit xgboost-classifier pickle-file supabase pillow-library rag-pipeline qwen3-32b

UpdatedFeb 9, 2026
Jupyter Notebook

jonathanciapetti /picklevw

Star6

A simple reader with GUI, for pickle files.

visualization python analysis python3 deserialization webapp reader malware-analysis pickle webapplication data-analysis-python threat-detection streamlit pickle-file

UpdatedFeb 18, 2026
Python

nano-bot01 /Heart-Disease-Prediction-using-machine-and-deep-learning-techniques

Star6

Heart Disease Prediction using machine and deep learning techniques works on heart dataset

machine-learning deep-learning webpage classification ensemble-learning spyder voting-classifier heart-disease heart-disease-prediction streamlit streamlit-webapp pickle-file spyder-python-ide collage-project

UpdatedJul 29, 2024
Jupyter Notebook

PurrfectLoaf is a deep learning project that uses a Convolutional Neural Network (CNN) to classify images as either cats or loaves of bread. With a Streamlit interface, you can upload images and get instant results, showcasing the fun and power of deep learning in image recognition.

python cnn cnn-classification streamlit pickle-file

UpdatedJul 21, 2023
PureBasic

Raghava716 /LearningStyleAdvisor

Star5

Learning Style Advisor is an intelligent web application that predicts an individual’s preferred learning style based on their responses to a questionnaire. Built using Flask and powered by a machine learning model, this project helps users understand whether they are a Visual, Auditory, Kinesthetic, or Mixed learner. The application collects user

css html flask numpy python3 pickle-file

UpdatedOct 12, 2025
HTML

Raghava716 /Palm-leaf-disease-detection

Star5

A Streamlit-based web application that detects palm leaf diseases using a deep learning model (EfficientNetB0). The application allows users to upload palm leaf images and predicts the disease class with confidence.

deep-learning python3 matplotlib-pyplot streamlit pickle-file llms

UpdatedDec 26, 2025
Python

ParthSharma272 /PlotLine

Star3

A modern Flask-based web app that recommends movies you’ll love. It pairs a content-based recommendation model with TMDB metadata for posters, ratings, overviews, and more—wrapped in a sleek matte‑black + neon‑green UI.

flask api-rest pickle-file vercel-deployment

UpdatedOct 29, 2025
Jupyter Notebook

lonecoder7 /Ask_Rakna_AI

Star3

Ask_Dr_Rakna is an AI-powered healthcare chatbot with speech-to-text and text-to-speech capabilities. Built with Streamlit, this application enables users to interact with an AI assistant via both text and voice, providing quick and reliable health-related responses.

python ai dbms streamlit pickle-file

UpdatedFeb 14, 2025
Python

sorna-fast /fraud-detection

Star3

Predicting transaction fraud using classification problems such as Guardian Boosting as well as user interfaces using Streamlite, Accuracy: 98% AUC-ROC

numpy pandas-dataframe eda imblearn sklearn-library matplotlib-pyplot seaborn-plots plotly-express xgbclassifier adaboostclassifier randomforestclassifier streamlit-webapp pickle-file lgbmclassifier gradientboostingclassifier scipy-stats

UpdatedOct 18, 2025
Jupyter Notebook

machphy /twitter_sentiment_analysis

Star2

Classify tweets as positive or negative using the Naive Bayes classifier with NLTK. This project processes tweets from the `twitter_samples` dataset, extracts features, and trains a sentiment analysis model.

python api twitter webpage twitter-api nltk-library pickle-file

UpdatedJul 20, 2024
Python

sorna-fast /laptop-price-prediction-ml

Star2

About This is a project on the laptop store dataset to predict laptop prices. Random Forest and XGBRegressor machine learning models are used.

pipeline numpy pandas-dataframe sklearn plotly seaborn scipy random-forest-regression xgboost-regression matplotlib-pyplot sklearn-metrics pickle-file

UpdatedSep 28, 2025
Jupyter Notebook

DeividSouSan /GenderClassificationWebApp

Star2

Aplicação web onde você consegue treinar um modelo de Machine Learning para classificar uma pessoa como do sexo masculino ou feminino com base em seu nome.

python machine-learning machine-learning-algorithms python3 webapp python-3 pickle k-nearest-neighbours streamlit k-nearest-neighbor-classifier streamlit-webapp pickle-file

UpdatedMay 21, 2024
Python

abeed04 /Hotel-bookings-prediction-using-Machine-Learning

Star2

Random forest algorithm can be used to analyze hotel booking data and predict booking behavior. This allows hotels to optimize pricing strategies, staffing, and identify potential cancellations for proactive guest communication.

python flask numpy pandas-dataframe pycharm-ide sklearn-library sklearn-metrics pickle-file randomforestalgorithm

UpdatedJun 24, 2024
HTML

abeed04 /Bank-Credit-Risk-Model-using-Machine-Learning

Star2

Robust credit risk model that go beyond traditional credit scoring methods in banks

python flask sklearn machine-learning-algorithms pycharm decision-tree-classifier sklearn-metrics pickle-file

UpdatedJun 24, 2024
Jupyter Notebook

Manu-Tyagi90 /MyProjects.MachineLearning

Star2

In this repository, I am working on various machine-learning models and trying to deploy the website for the same.

flask machine-learning numpy sklearn jupyter-notebook pandas python3 pickle prediction-model machine-learning-models python-project machine-learning-projects pickle-file

UpdatedDec 2, 2023
Jupyter Notebook

DanniRodrJ /milling-machine_failure-prediction

Star2

Machine Learning aplicado al mantenimiento predictivo. Se realizaron 2 modelos: 1 por medio de clasificación binaria que predice si una máquina fresadora estará en riesgo de fallar o no, y el 2 modelo a través de clasificación multiclase que predecirá el modo de falla

python sklearn logistic-regression decision-tree-classifier binary-classification svm-classifier multilabel-classification gridsearchcv randomsearch optuna smotetomek pickle-file near-miss catboost-classifier