NnekaAsuzu
Data scientist skilled in AI and prompt engineering, extracting insights from complex data for business optimization.
Toronto, Canada
Pinned Repositories
analyzedataset.github.io
Streamlit app deployment using Food choices and preferences of college students dataset
fine-tuning-on-any-question-answering-dataset-from-HuggingFace
This project showcases how to fine-tune a HuggingFace model with the SQuAD dataset and create a Gradio interface for interactive question answering, enabling users to input context and questions and receive model-generated answers.
housepriceprediction
House Price Prediction project using a dataset containing information such as number of rooms, price, property type, seller, date sold, distance from CBD, region name, property count, bedrooms, bathrooms, carspots, land size, building size, year built, council area, latitude, and longitude.
Memory-Support-Chatbot-for-Pregnant-Women
The Memory Support Chatbox for Pregnant Women is a project aimed at providing support and information to pregnant women experiencing cognitive memory issues. Using the GPT-2 language model, the chatbox generates responses based on text data related to pregnancy and memory issues.
nnekaasuzu.github.io
I'm a Data Scientist focused on AI & Prompt Engineering. My passion lies in extracting insights from data using advanced analytics & ML to optimize business processes. I specialize in NLP, ML, & data analysis, always exploring new technologies for real-world solutions.
question-answering-system-using-Gradio-s-lower-level-API
This repository implements a question-answering system using Gradio's lower-level API, featuring two input fields for context and user questions. The system utilizes the deepset/roberta-base-squad2 model and provides a user-friendly interface for model interaction.
NnekaAsuzu's Repositories
NnekaAsuzu/Memory-Support-Chatbot-for-Pregnant-Women
The Memory Support Chatbox for Pregnant Women is a project aimed at providing support and information to pregnant women experiencing cognitive memory issues. Using the GPT-2 language model, the chatbox generates responses based on text data related to pregnancy and memory issues.
NnekaAsuzu/analyzedataset.github.io
Streamlit app deployment using Food choices and preferences of college students dataset
NnekaAsuzu/fine-tuning-on-any-question-answering-dataset-from-HuggingFace
This project showcases how to fine-tune a HuggingFace model with the SQuAD dataset and create a Gradio interface for interactive question answering, enabling users to input context and questions and receive model-generated answers.
NnekaAsuzu/housepriceprediction
House Price Prediction project using a dataset containing information such as number of rooms, price, property type, seller, date sold, distance from CBD, region name, property count, bedrooms, bathrooms, carspots, land size, building size, year built, council area, latitude, and longitude.
NnekaAsuzu/nnekaasuzu.github.io
I'm a Data Scientist focused on AI & Prompt Engineering. My passion lies in extracting insights from data using advanced analytics & ML to optimize business processes. I specialize in NLP, ML, & data analysis, always exploring new technologies for real-world solutions.
NnekaAsuzu/question-answering-system-using-Gradio-s-lower-level-API
This repository implements a question-answering system using Gradio's lower-level API, featuring two input fields for context and user questions. The system utilizes the deepset/roberta-base-squad2 model and provides a user-friendly interface for model interaction.