@TanupriyaSingh
Machine Learning Engineer
Nothing here yet.
Nothing here yet.
Mar 27, 2025 路 8 min read 路 Table Of Contents: Setting Up PySpark Loading data Basic operations Column operations Row operations Aggregate functions Window functions Joins Performance Optimisation Best Practices and Tips Conclusion References As a Machine Learning...
Join discussionJan 5, 2025 路 1 min read 路 Ever wondered what makes 'pip install' work? Let's break down the mechanics behind setup.py 馃摝 At its core, setup.py is a Python script that defines your package's identity card. It contains essential metadata about your package - from its name and v...
Join discussionDec 9, 2024 路 3 min read 路 Introduction to Spark Spark is a distributed computing system designed for large-scale data processing. Here are key reasons why Spark is suitable for ML pipelines: High Volume of Data: Many ML problems require processing large datasets, which mig...
Join discussionOct 21, 2024 路 4 min read 路 Before we begin, a short excerpt from the book The Defining Decade: The right time to take action is at the sweet spot鈥攚aiting too long or acting too early can lead to missed opportunities. Echoing this idea, I decided to learn about the Generative A...
Join discussionJul 14, 2023 路 7 min read 路 Introduction One of the questions I get as a Machine Learning Engineer is whether I am required to read research papers and be aware of the latest algorithms and models. The answer is no. Don鈥檛 get me wrong, it benefits from knowing the various model...
Join discussion