Table of Contents
How do I get better at Kaggle competitions?
The Tips and Tricks I used to succeed on Kaggle
- Be persistent.
- Spend time on data preparation and feature engineering.
- Don’t ignore domain specific knowledge.
- Pick your competitions wisely.
- Find a good team.
- Other philosophies.
- In summary: persistence and learning.
How do you win a Kaggle competition in data science?
How to Win Kaggle Competitions
- Step one is to start by reading the competition guidelines thoroughly.
- The second and very crucial step is to understand the performance measures.
- Step three is to understand the data in detail.
- Step four is to know what you want (objective) before worrying about how.
Is Kaggle the best way to learn data science?
Data scientists of all levels can benefit from the resources and community on Kaggle. Whether you are a beginner, looking to learn new skills and contribute to projects, an advanced data scientist looking for competitions, or somewhere in between, Kaggle is a good place to go.
Can I become data scientist by Kaggle?
Kaggle is a great place to learn and master data science skills, but it could easily become overwhelming if you don’t have strong knowledge of the basics. Python and R are the most popular programming languages for data science. A lot of notebooks available in kaggle will also be in either Python or R.
How do you win a ML competition?
Below are some of the my recommendations:
- Learn better programming: Learn python if you know R.
- Keep learning tools (listed below)
- Read some books.
- Play in ‘knowledge’ competitions.
- See what the others are doing in kernels or in past competitions look for the ‘winning solution sections’
Can you earn on Kaggle?
Typical Kaggle competition lasts 3 months, offers $25,000-100,000 in prize fund and attracts around 1000 specialists. At least top 10\% of those specialists, ~100 persons are of prime quality, many others ‘just’ good.
Is Kaggle paid?
The one paid service Kaggle currently offers is: Hosting Machine Learning Competitions.
What are the best online competitions for data science?
CodaLab helps solve many common problems in data-oriented research through its online community, where people can share worksheets and participate in competitions. You can either join in an existing competition or host a new competition. Zindi is the first data science competition platform in Africa.
What are the best data mining competition platforms?
Kaggle is a well-known platform for Data Science competitions. It is an online community of more than 1,000,00 registered users consisting of both novice and expert. However, apart from Kaggle, there are other Data Mining Competition Platforms worth knowing and exploring.
What is comptetitive data science?
Competitive Data Science is not a l l about applying algorithms. An algorithm is essentially a tool, and anybody can use it by writing just a few lines of code. The main takeaway from participating in these competitions is that they provide a great learning opportunity.
Why are most data science competition platforms targeted at large corporations?
It is a known fact that most data science competition platforms are targeted towards large corporations. This is majorly due to the hefty fees charged by platforms to conduct such competitions.