pkl

`pkl` packaged UTM virtual machines, including RouterOS CHR

Python library for Apple's PKL format

This Python project Recognizes Handwritten digits using Artificial Neural Network

A library for parsing SMPTE Interoperable Media Format (IMF) packages

The model was trained with the Random Forest algorithm in Weka to predict crop outcomes based on input features.

A simple classifier trained on a small tabular dataset using scikit-learn to demonstrate how pipelines are used and how they work.

This repository contains my Nexus internship projects: a specialized college admissions Q&A chatbot utilizing JSON, Python, and .pkl and .h5 files. The project is compatible with any Python IDEs such as VS Code, PyCharm, and IDLE.

A Machine Learning Pipeline: Preprocesses historical traffic data and trains multiple regression models (Linear Regression, Decision Tree, and Random Forest) to forecast traffic volume based on time, weather, and calendar features.

prediction Model AI aim to Arable plants predict using Input Temperature and Humidity and output Predicted Plante,plante Details and Image Plante.

ArthroAI is a clinical decision support tool that predicts the risk of Rheumatoid Arthritis (RA) using an XGBoost model trained on NHANES data. The interactive Streamlit web application provides real‑time risk assessment, detailed factor analysis, and a downloadable clinical report.

Chinchilla's Repository

Repository that performs HTML queries based on the XML file that My Anime List exports. In addition, it creates CSV files with rich data that are easy to relate and consult with other tools such as Power Bi.

Lessons and projects I’ve learned from Paul McWhorter’s AI and OpenCV tutorials, with additional improvements and insights.

A real-time Python Interface that detects A–Z hand signs using MediaPipe and ML, with a GUI to display, speak, and build text from sign language via webcam.

This is `ask-my-notes` — a working RAG system I built end-to-end to learn the modern GenAI stack. You point it at a folder of markdown notes and `POST /ask` returns a Claude-generated answer grounded only in your notes, with a `Sources:` section showing which files were cited..

Deep Learning-based Laptop Price Prediction using an Artificial Neural Network (ANN), with One-Hot Encoding and StandardScaler preprocessing, and an interactive Streamlit web application for real-time price estimation.

this is a blue colour detector in keras and tensorflow

Focus on selecting datasets suitable for a machine learning experiment, with an emphasis on data cleaning, encoding, and transformation steps necessary to prepare the data.

🎈GERENCIE O NOME E IDADE DOS USUÁRIOS EM UM ARQUIVO PKL.

The data was first pre-processed and analysis libraries like Numpy and Pandas were used to make it ready to be utilized by a machine learning algorithm.Problems like standard scaling, categorical data and missing values were handled with appropriate techniques. Then, we used LogisticRegression model.