Projects in Awesome Lists tagged with pickle-file

https://github.com/nano-bot01/heart-disease-prediction-using-machine-and-deep-learning-techniques

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

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

Last synced: 12 May 2025

https://github.com/abeed04/hotel-bookings-prediction-using-machine-learning

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.

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

Last synced: 06 Apr 2025

https://github.com/deividsousan/genderclassificationwebapp

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.

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

Last synced: 27 Feb 2025

https://github.com/machphy/twitter_sentiment_analysis

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.

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

Last synced: 03 Mar 2025

https://github.com/rishabhraj43/disease-prediction

A Full-Stack Website made in MERN Stack that uses Flask API and Machine Learning Algorithm for Disease prediction

machine-learning-algorithms mern-stack mongodb nodejs pickle-file python reactjs rest-api

Last synced: 01 Mar 2025

https://github.com/kmock930/texture-image-comparison

This project aims to build a model which classifies the type of an unseen image as accurate as possible, by implementing, evaluating, and comparing amongst 2 different multi-layer perceptron Neural Networks.

computer-vision conda confusion-matrix convolutional-neural-networks cuda image-preprocessing keras keras-tensorflow learning-curve-analysis matplotlib multi-layer-perceptron neural-network pickle-file python3 skimage

Last synced: 05 Apr 2025

https://github.com/raghavendranhp/industrial_copper_modelling

Industrial Copper Modeling optimizes pricing decisions using advanced ML. Predict sales with accuracy, classify leads, and streamline decision-making.

classification-models copper decision-tree-classifier decision-tree-regression pickle-file predictive-modeling regression-models scikit-learn

Last synced: 24 Feb 2025

https://github.com/fahmizainal17/car_price_prediction_project

This repository is dedicated to developing a model for predicting car prices in Malaysia, utilizing various data science techniques and machine learning algorithms.

car-price-prediction-with-machine-learning pickle-file random-forest-regression supervised-learning supervised-machine-learning

Last synced: 24 Feb 2025

https://github.com/nrhartnett/passwordstrengthapp

This project combines machine learning with data science implemented in a python environment. Completed as my Master's degree practicum, it displays skills in data analytics as well as intermediate level python development using serializing and de-serializing a Python object structure (Pickle File).

data-analysis-python data-science excel machine-learning-algorithms orange-data-mining pickle-file python python-filehandling

Last synced: 22 Mar 2025

https://github.com/kameshpoc/rag-data-pipeline

This repo is to demonstrate rag data processing pipeline using dataflow flex templates

cloud-storage-bucket dataflow-job embeddings flex-template gcp gcp-dataflow genai pickle-file rag rag-pipeline

Last synced: 22 Feb 2025

https://github.com/dineshdhamodharan24/industrial-copper-modeling

It seems like you have a project that involves modeling industrial copper data using Python and several libraries such as pandas, numpy, and scikit-learn. This is a common and practical approach, as these libraries are widely used for data manipulation, analysis, and machine learning tasks.

bussiness-solution numpy pandas pickle pickle-file seaborn sklearn-library streamlit