AI News, 12 Winning Tips to Clinch Your First Win in Data Science Competitions

12 Winning Tips to Clinch Your First Win in Data Science Competitions

Nalin is an investment banker turned data scientist who currently works as an independent consultant.

He is an inspiration for most of the aspiring data scientist in our community.

He is currently positioned at Kaggle Rank 70 and holds the prestigious Kaggle Master title. He has represented and brought laurels to India in World Sudoku championships.

He is a self learned data scientist and specializes in BFSI and marketing.

So, all this way, if you ever doubted that self learning can't make you a data scientist, you were wrong.

12 Winning Tips to Clinch Your First Win in Data Science Competitions

To help you make last minute strategic plans, we thought of sharing these winning tips with you all.

These tips will provide you a unique perspective to help you build better ML models.

72 hours) so that you start to think, act and respond faster to solve business problems.

So, if you are determined to walk with our pace, very soon you’ll reach another milestone in your life.

Nalin is an investment banker turned data scientist who currently works as an independent consultant.

He is currently positioned at Rank 70 on Kaggle and holds the prestigious Kaggle Master title. He has represented and brought laurels to India in World Sudoku championships.

So, all this way, if you ever doubted that self learning can’t make you a data scientist, you were wrong.

This competition is going to be intense and mind-boggling, you will have to fight and survive to reach the end.

The Ultimate Battle Ground of Data Scientists

is no dearth of analytics resources on the web but when you get it from experts in the Indian analytics space with a clear business problem in mind-there is nothing like it.The easy to understand language used to explain the most complex of subjects in data science is one of the cornerstones of the AV blog.The one place I know I will find answers to my questions and gain knowledge is AV.In the language of Data Science AV is an ensemble of many experts which bring out what is best for the community.

Winning Solutions & Codes from AV’s Signature Hackathon – Lord of the Machines

Lord of the Machines, Analytics Vidhya’s recently concluded signature hackathon, was one of the most intriguing and challenging competitions  we have hosted.

Initially planned for a duration of 2 days, the hackathon was extended to span 9 days in total to give participants more time to fine tune and improve their models.

Analytics Vidhya hosted “Lord of the Machines”, a data science / machine learning hackathon designed to discover the best data scientists in the community.

Marketers spend a lot of time in writing that perfect email, laboring over each word, catchy layouts on multiple devices to get them best in-industry open rates &

Participants were required to predict the click probability of links inside a mailer for email campaigns from January 2018 to March 2018.

posed it as a problem of sequence prediction where we want to find whether a user will click on an email, given his past interactions on platform.

I used this probability across all emails sent to that user (I did not want to add prediction to sequence and predict again because that can cause errors to propagate further).

This allowed me to make predictions for the users for whom we have some data (previous behavior), but in the test set, 20% of the entries were for users for whom we do not have any data (aka cold start).

To deal with Cold Start, I grouped by campaign_id and sent_weekday and sent_quarter_of_day and filled the missing values by 90% quantile across each group.

I highly recommend going through the approaches and code links mentioned above to gain a deeper understanding of how these competition winners structure their thinking.

DataHack Premier League 2018

Use your data science skills to navigate through ball-by-ball action to predict the highest run getter and the highest wicket taker in each game of Indian Premier League (IPL) 2018.

Prizes for orange cap holder table (most runs) Rank 1: INR 1,00,000 Rank 2: INR 30,000 Rank 3: INR 15,000 Prizes for purple cap holder table (most wickets)Rank 1: INR 1,00,000 Rank 2: INR 30,000 Rank 3: INR 15,000Prizes for Extra Runs table - INR 10,000 (Winner Prize)

Winners for orange cap holder table (most runs) Rank 1: Ketan546 Rank 2: Praju Rank 3: Dhruva Winners for purple cap holder table (most wickets) Rank

DataHack 2015: 65 coders, 14 teams and a lot of data

The 6sense tech team invited 65 data scientists and developers for a 24-hour coding and modeling session that was mostly powered by pizza and Red Bull.

There were 14 teams, and each was tasked with picking a public data set, selecting a provided data modeling/analysis tool and mining the data for insights.

Here are the winners of DataHack 2015: Using Yelp’s dataset of 1.6M reviews, 500k tips by 366k users for 61k businesses, team FoodFate examined the restaurant scene in Phoenix, Arizona.

5Sense aimed to analyze the most commonly used words in Reddit comments and map how trending phrases correlated with current events at the time of the post.

Why he won: We Loved It The 6sense dev and data-science teams were on hand late into the night and early the next morning to mentor attendees, set up extra routers and give quick tutorials on data analytics tools.

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