Building a Sentiment Classification Pipeline with DistilBert and Airflow

  • IntermediateLevel

  • 176+Students Enrolled

  • 1 HrDuration

  • 4.6Average Rating

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About this Course

  • End-to-End Sentiment Analysis – Build a complete sentiment pipeline with Goodreads Reviews, from data cleaning to accurate sentiment predictions.
  • Leverage DistilBERT & Airflow – Train high-performance sentiment models with DistilBERT while using Apache Airflow to automate workflows efficiently.
  • Interactive Predictions with Streamlit – Develop an intuitive interface to display sentiment results, running locally for seamless and user-friendly analysis

Learning Outcomes

Learn Sentiment Analysis

Learn sentiment classification from data cleaning to predictions.

Train with DistilBERT

Implement high-performance sentiment analysis using DistilBERT.

Automate with Airflow

Manage end-to-end workflows for sentiment analysis efficiently.

Course Curriculum

Explore a comprehensive curriculum covering Python, machine learning models, deep learning techniques, and AI applications.

tools

  1. 1. Building a Sentiment Classification Pipeline with DistilBERT and Airflow Video

  2. 2. (Hands on)Building a Sentiment Classification Pipeline with DistilBERT and Airflow Video

Meet the instructor

Our instructor and mentors carry years of experience in data industry

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Priyanka Asnani

Senior Machine Learning Engineer

Priyanka, Senior ML Engineer at Fidelity Investments, has 7+ years of experience in ML pipelines, recommender systems, LLMs & time-series forecasting. She shares insights via talks, webinars & content, helping data scientists stay industry-ready.

Get this Course Now

With this course you’ll get

  • 1 Hour

    Duration

  • Priyanka Asnani

    Instructor

  • Intermediate

    Level

Certificate of completion

Earn a professional certificate upon course completion

  • Globally recognized certificate
  • Verifiable online credential
  • Enhances professional credibility
certificate

Frequently Asked Questions

Looking for answers to other questions?

Apache Airflow is a workflow orchestration tool that automates and manages tasks efficiently. This course will help to streamline the sentiment classification pipeline.

Streamlit is used to create a user-friendly web interface, allowing you to interact with the sentiment classifier and visualize predictions easily.

Yes! This is a practical, project-based course where you will build and deploy an end-to-end sentiment classification pipeline.

You’ll work with Python, TensorFlow/PyTorch (for DistilBERT), Apache Airflow, and Streamlit to build the sentiment classification pipeline.

Yes, the course provides a certification upon completion.

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