Popular GitHub Repositories for Datapreprocessing

? GUI for editing LLM vector embeddings. No more blind chunking. Upload content in any file extension, join and split chunks, edit metadata and embedding tokens + remove stop-words and punctuation with one click, add images, and download in .veml to share it with your team.

Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visualizations, and Machine Learning Models for Classification Purposes.

The Medical Chatbot is an AI-powered platform designed to assist users in obtaining accurate and reliable medical information. It aims to provide instant responses to user queries, offer symptom analysis, suggest potential diagnoses, and recommend appropriate next steps for seeking medical care.

ASHRAE - Great Energy Predictor III: How much energy will a building consume?

Building this project to generate MCQ Questions from any type of text and generate answers and distractors for it.

The algorithm utilizes Generative AI and Natural Language Processing (NLP) to analyze the nutritional content of packaged food products. The system considers personalized health conditions, such as allergies and dietary needs, to provide tailored recommendations, helping individuals make safer and more informed food choices.

This project is an AI-powered algebra tutor using the Phi-3 Mini model. It provides personalized learning through interactive chat, adapting to the student's level and offering detailed step-by-step solutions. Built with Streamlit for an engaging educational experience.

Tokenizer is an independent Open Source, Natural Language Processing python library which implements a tokenizer to create token from Both Sentence and Paragraph.

This Jupyter notebook is an interactive tool for processing natural language text. It segments text into sentences, performs word tokenization, counts word frequencies, timestamps each entry, and saves the results in JSON format. Ideal for NLP studies and text analysis

This project aims to build a machine learning model that predicts the price of a used car in Indian market using Cardekho dataset.

MS Project and MS Thesis on “Click Fraud Detection”, developed Machine Learning Model -Python – using Feature Engineering and a combination of different Machine Learning Algorithms, this approach may not only solve Click Fraud Detection problem but is also capable to cater huge amounts of data that also in comparatively less amount of time.

GoldVision is a time series forecasting project that predicts gold price trends using Facebook Prophet. The project incorporates custom seasonality and advanced visualization techniques to provide accurate forecasts and insights.

This project demonstrates an end-to-end data analytics workflow for NextEra Supplies, combining MySQL for database management, Power BI for dynamic visualization, and Python for data exploration preprocessing. Advanced deep learning techniques (LSTM) are used for accurate sales forecasting, providing actionable insights to drive strategic decision.

Shipment price predictive forecasting uses statistical techniques and machine learning to predict future prices based on historical data. It assists in understanding past trends, enhancing decision-making for cash flow, risk assessment, capacity planning, and meeting customer demands in the supply chain.

Building different machine learning models and selecting the best model for the given dataset. Saving the metrics ,parameters, artifacts, models in mlflow and using restapi for making predictions on validation data using the best model chosen.