For those who are new to data science and the online competitions hosted by websites to help enhance and flaunt your skills. Becoming part of a big community helps you improve your data analytics, machine learning and statistical skills. I hope this presentation will give you a rough idea about what these online competitions are and how to become part of community.

1. Data Science Competitions
By: Pranav Bahl

2. What is data science competition?
• Researchers/company trying to get insight of data they posses
• Opportunity for data scientists to get introduced to unseen problems
• Great way of learning
• Discipline

3. How it works?
• Types:
• Skill boosters
• Prize associated
• Provided with dataset to play with
• Apply machine learning, best of your knowledge
• Do submission
• Metric based decision
• Leadership boards:
• Public
• Private

4. Why Competitions?
• Apply what we learn from courses
• One language, data science
• Good way of learning fast learning
• Getting acquainted with new problems(data)
• Remind us of real purpose of Machine Learning – predict UNSEEN
data
• Helps get better knowledge of model/metric insights, their strengths
and weaknesses

5. Tips and tricks
• Exploratory data analysis
• Data leaks
• Cross Validation
• Ensemble methods
• Ranking
• Avoid over-fitting

6. How can you be part of it?
• Join data science communities
• : www.kaggle.com
• : www.analyticsvidhya.com
• : www.kdd.org