Explore the seventh day of Kaggle's 30 Days of ML Challenge, focusing on working with external libraries and operator overloading in Python for machine learning. Learn how to leverage high-quality custom libraries to enhance your coding efficiency and expand your ML capabilities. Discover the process of accessing and implementing pre-written code in your projects, and gain insights into operator overloading techniques. Follow along with the provided Kaggle lesson link and complete the assignment to reinforce your understanding. Access additional resources, including a curated list of useful data science libraries and related video content from previous challenge days. Suitable for both registered Kaggle challenge participants and independent learners looking to develop a daily ML coding habit.
Python Libraries and Operator Overloading for Machine Learning - Day 7 of 30 Days of ML
1littlecoder via YouTube
Overview
Syllabus
Kaggle 30 Days of ML - Day 7 - Python Libraries & Operator Overloading - Learn Python ML in 30 Days
Taught by
1littlecoder
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