Welcome to the "Elite Horse Speed Prediction Challenge"!

In this competition, participants are tasked with predicting the speed of horses under varying conditions. Drawing from a rich dataset of over 100,000 races, competitors will need to consider factors such as weather and race time to make their predictions.

Harnessing the power of machine learning and neural networks, this challenge offers an intricate problem that tests the mettle of both seasoned data scientists and enthusiastic newcomers. With intricate patterns and a myriad of influencing factors, it's a race to the top of the leaderboard!

Goal:
Your objective is to build a model that accurately predicts a horse's speed based on given conditions, pushing the boundaries of predictive analytics. Good luck and may the best model win!