Be quick: don’t wait for perfection

Some of the fastest-rising new Kaggle Notebook Grandmasters have something in common: they start analyzing data and publish an exploratory data analysis or a baseline model solution within just a few days, sometimes just a few hours, after a new competition is launched. They are among the first to claim a new territory in the ever-changing data exploration landscape of Kaggle. With this, they focus the attention of their followers on their work, they receive the most comments that will help them improve their work, and they will have their work forked (for convenience) by many others. This, in turn, increases the virality of their notebooks.

However, if you wait for too long, you might find that your analysis idea was also thought of by others, and by the time you have finally refined it enough to meet your standards, a sizable group of others has already explored it, published it, and got recognition for it. Sometimes, the key is speed...