How do you grow on Kaggle?
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- The value of Kaggle is still not fully recognize in the industry.
- Concentrate primarily on competitions.
- Try to do well in a few competitions.
- Try to work on your overall rankings.
How do I get the most out of Kaggle?
How to Get Started on Kaggle
- Step 1: Pick a programming language.
- Step 2: Learn the basics of exploring data.
- Step 3: Train your first machine learning model.
- Step 4: Tackle the ‘Getting Started’ competitions.
- Step 5: Compete to maximize learnings, not earnings.
How do I make a good Kaggle profile?
How to make Kaggle Profile
- Go to the Kaggle website and click on sign up section.
- Setup your Kaggle profile by providing a brief bio, picture, location, title and current workplace. You can also add your LinkedIn, Github and Facebook accounts so people can contact you when needed.
How do you get noticed on Kaggle?
To get your kernels noticed, you need to follow some basic steps like dividing your kernel into data loading, data analysis, visualization, reasons behind choosing a specific model, the creation process of the model, prediction sections, etc.
How do I learn Kaggle ML?
So, here I try to lay down how you can start:
- Cover the essential basics. Choose a language: Python or R.
- Find an interesting challenge/dataset.
- Explore the public kernels.
- Develop your own kernel.
- Learn what you need to and go back to step 4.
- Improve your analysis by going back to step 3.
What are some tips and tricks to get started with Kaggle?
Tip #2: Review most voted kernels. Kaggle has a cool feature in which participants can submit “kernels,” which are short scripts that explore a concept, showcase a technique, or even share a solution. When you start a competition or when you hit a plateau, reviewing popular kernels can spark more ideas.
What makes you successful in Kaggle competitions?
The number one factor that leads to success in Kaggle competitions is persistence. It’s easy to become discouraged when you see the ranking of your first sublesson, but it is definitely worth it to keep trying.
How do I make my own Kaggle leaderboard?
Split the data set into a training set and test set. Then split the test set into a public and private leaderboard set to match Kaggle methodology. Write code in your language of choice and use a statistical learning algorithm designed to make predictions for each dataset. Keep practicing on as many small data sets as possible.
How can I become a Kaggle Grandmaster in 1 year?
There is no shortcut to be a Kaggle grandmaster in 1 year. You have to work your way through the Kaggle progression system. You can find it at the following link My advice to you is to participate in discussion forums, publish great kernels, compete in competitions and earn medals.