temmyzeus / fellowship.ai-challenge

Perform Text classification on DBPedia ontology. Do a thorough Exploratory Data Analysis of the dataset and report the final performance metrics for your approach. Suggest ways in which you can improve the model.

Hi there 👋, I'm Temiloluwa Awoyele, a.k.a temmyzeus

I am open Data Engineering and Big-Data opportunities

• 🔭 I’m currently working on:
  • Serverless ETL Workflow
  • Spotify Batch Ingestion
• 🌱 I’m currently learning
  • Apache Airflow
  • Spark and PySpark
  • Udacity Data Engineering Zoomcamp
  • Data Engineering Zoomcamp by DataTalks Club
• 👯 I’m looking to collaborate on:
  • Data Engineering
• 🤔 I’m looking for help with:
  • Mentorship
  • Job
• 😄 Pronouns: He/Him
• 📫 How to reach me:

Projects

Text Anonymizer:

A dockerized API and a webapp(built on the API) that help to anonymize naming entities like name, place, time, direction e.t.c from text.

Tech Stack:

No-Toxic

An API to checkout the qualitative toxicty (definite class) or quantatitive toxicity (probabilty) of text between the following classes => Toxic, Severly Toxic, Obscene, Threatening, Insulting and Identity Hate.

Tech Stack:

Text Explore : A python package to perform EDA on text

Tech Stack: Python & NLTK

🧰 Languages and Tools: