Linear_Regression_Practical_Salary
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Updated
Dec 3, 2023 - Python
Linear_Regression_Practical_Salary
Preprocessing scripts for 1:50K tiles issued by the survey department, Sri Lanka
MNIST is a Dataset for images of handwritten digits Classification with KNN by extracting features using centroid
Explore your favorite anime with this interactive search app! 🚀 This project leverages Weaviate for vector search and Gradio for a seamless user interface. Using embeddings from a custom anime dataset, you can perform quick and accurate similarity searches for anime titles
rag workflow w/ pinecone-db -- enriches LLM context with a YT/BBC news dataset to provide more accurate insights as well as sources
BigKinds Data Analysis Toolkit for python
animal-behavior-preprocessing is a Python repository to preprocess animal behavior data. It works on the output spreadsheets from video-tracking of animal body parts with LEAP or DeepLabCut. It applies a Median Filter, an Ensemble Kalman Filter, transforms data to joint angles and computes their Morlet Wavelet Spectra.
Just add a few sample images and run transfer Learning. It classifies tons of images like magic.
Growing collection of scripts that manipulate text data.
Scripts to preprocess ocean data files from custom apps in order to export the data to Ocean Information Model.
Preprocessing method for Information Retrieval System
Enterprise-grade training data curation bot for LLM fine-tuning using Decodo and Python automation. It provides an async, modular pipeline for document loading, preprocessing, task-specific data generation (Q&A, summarization, classification), quality evaluation, and dataset export — all through a unified API.
This project is an end-to-end MLOps pipeline for a network security system that detects phishing and malicious activities using machine learning. It automates data ingestion, preprocessing, model training, and deployment while leveraging AWS S3 for model storage and GitHub Actions for CI/CD. The system includes realtime monitoring & a web interface
In this project, three different models based on GAT, GCN and SAGE have been implemented to examine their performance on two prominent social networking platforms, namely Twitter and Reddit.
A script for pre-processing WhatsApp exported chats, enhancing their quality and structure to optimize training for GPT-3 models.
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Machine Learning Basics: From Setup to Clustering
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