Machine Learning |Deep Learning | 👈 Hackathons Timeline

Vinay Vikram

Titanic :Machine Learning from Disaster

Top 7% Kaggle

In this challenge, we need to complete the analysis of what sorts of people were likely to survive. In particular, we apply the tools of machine learning to predict which passengers survived the tragedy.Predict whether passenger gonna survive or not..

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House Prices: Advanced Regression Techniques

Top 11% Kaggle

This playground competition's dataset proves that much more influences price negotiations than the number of bedrooms or a white-picket fence.
With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this competition challenges you to Predict the final price of each home..

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#Janatahack: Healthcare Analytics

24th Rank Analytics Vidhya

Congratulations – you have been hired as Chief Data Scientist of MedCamp – a not for profit organization dedicated in making health conditions for working professionals better. MedCamp was started because the founders saw their family suffer due to bad work life balance and neglected health. For those who attend, MedCamp provides them facility to undergo health checks or increase awareness by visiting various stalls (depending on the format of camp). Your job as a data scientist is to predict the amount of inventory they need to carry

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#JanataHack: Machine Learning for IoT

5th Rank Analytics Vidhya

The government wants to implement a robust traffic system for the city by being prepared for traffic peaks. Traffic patterns on holidays, as well as on various other occasions during the year, differ from normal working days. As a participant you need to predict traffic patterns in each of these four junctions for the next 4 months..

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#JanataHack: Machine Learning in Agriculture

21st Rank Analytics Vidhya

A good harvest is ensured by several factors such as availability of water, soil fertility, protecting crops from rodents, timely use of pesticides & other useful chemicals and nature. While a lot of these factors are difficult to control for, the amount and frequency of pesticides is something the farmer can control. You need to daetermine the outcome of the harvest season, i.e.

  • Whether the crop would be healthy (alive)
  • Damaged by pesticides
  • Damaged by other reasons..

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#HackerEarth Deep Learning challenge: Identify the dance form

48th Rank HackerEarth

This International Dance Day, an event management company organized an evening of Indian classical dance performances to celebrate the rich, eloquent, and elegant art of dance. Post the event, the company planned to create a microsite to promote and raise awareness among the public about these dance forms. However, identifying them from images is a tough nut to crack.Build an image tagging Deep Learning model that can help the company classify these images into eight categories of Indian classical dance.

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#JanataHack:Computer Vision Hackathon

8th Rank Analytics Vidhya

Differentiating a vehicle into an emergency and non emergency category, In this problem, you will be working on classifying vehicle images as either belonging to the emergency vehicle or non-emergency vehicle category. For the same, you are provided with the train and the test dataset. Emergency vehicles usually includes police cars, ambulance and fire brigades..

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#JanataHack:Recommendation Systems

8th Rank Analytics Vidhya

Your client is a fast-growing mobile platform, for hosting coding challenges.The client has provided you with history of last 10 challenges the user has solved, and you need to predict which might be the next 3 challenges the user might be interested to solve. Apply your data science skills to help the client make a big mark in their user engagements/revenue.

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#JanataHack: Demand Forecasting

44th Rank Analytics Vidhya

Your client is a fast-growing mobile platform, for hosting coding challenges.The client has provided you with history of last 10 challenges the user has solved, and you need to predict which might be the next 3 challenges the user might be interested to solve. Apply your data science skills to help the client make a big mark in their user engagements/revenue.

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