Developing Kaggle Notebooks

Become proficient in crafting Kaggle Notebooks with the help of three-time Kaggle Grandmaster, Gabriel Preda. In this session, learn about the following things: 1. Why are Kaggle Notebooks important to people not on Kaggle? 2. How do I effectively handle missing values, outliers, and understand the distribution of the dataset provided in the competition? 3. Which machine learning or deep learning model is most suitable, and how do I choose the appropriate architecture? 4. What techniques and best practices should I follow to efficiently handle large datasets within the constraints of Kaggle notebooks? 5. How can I optimize my code and preprocessing steps to fit within the kernel execution time limits, and what strategies can I employ to speed up model training? During the live event, you can ask more questions! We will try to get all the questions answered live, during the event. We will also giveaway Ecopies to 2 lucky winners during the session. Comment with hashtag#PACKT to enter the raffle.