Hackathons


IoT Hack, Delhi Questions related to the Data Science Delhi meetup on 24th May 2015. Here is the link to the meetup:
Kolkata Hackathon Questions related to launch of Kolkata chapter and subsequent hackathon
Bangalore Hackathon Questions related to Bangalore Hackathon on 14th June 2015
Practice_Sentiment This category is created to ask questions, discuss the solutions and help each other to solve practice problem sentiment analysis.
Practice_Recommendation This category is created to ask questions, discuss the solutions and help each other to solve practice problem recommendation engine.
Big Mart Sales This subcategory is for discussions related to big mart sales prediction hackathon.
Online hackathon This category is created to ask questions, discuss the solutions and help each other out during the online hackathons
skilltest This category is meant for discussions related to our skill tests
Loan_prediction Use this category for discussions related to Loan prediction practice problems.

About the Hackathons category [Hackathons] (3)
Welcome to Practice Problem : Twitter Sentiment Analysis [Practice_Sentiment] (8)
Source of Loan Prediction Data [Loan_prediction] (3)
In the input file User_data what is difference between the field max_rating and rating [Practice_Recommendation] (3)
Getting "TypeError: '>' not supported between instances of 'str' and 'float'" [Loan_prediction] (11)
Welcome to Practice Problem : Recommendation Engine [Practice_Recommendation] (7)
How can I use "CoApplicaantIncome" as a feature? [Loan_prediction] (5)
Past AV Hackathon Data set [Hackathons] (3)
Can someone explain the variable ‘attempts_range’? [Practice_Recommendation] (2)
Imputing Missing Values [Loan_prediction] (18)
Test data Data exploration [Big Mart Sales] (2)
How should I prepare to participate for Data Science Hackathon? [Hackathons] (4)
Improving model score apart from gbm and randomforest [Big Mart Sales] (17)
Should target be missing in the test file? [Loan_prediction] (4)
Comparing Models Performance [Loan_prediction] (9)
McKinsey Analytics Online Hackathon [Hackathons] (2)
Onlyy columns are visible after spliiting the combined data set back into train and test! [Big Mart Sales] (3)
Meaning of the statement : {0:.3%}".format(accuracy) in[ print "Accuracy : %s" % "{0:.3%}".format(accuracy)] [Loan_prediction] (3)
Not able to execute the following code in python version '3.5.1' [Big Mart Sales] (5)
Mandatory Submission of the code file [Online hackathon] (4)
Labelencoder error [Loan_prediction] (2)
Upload error: your file has 29 less value compared to 367 [Hackathons] (4)
Unable to download the Big Mart Data Sales [Big Mart Sales] (2)
Loan Prediction III : Wanted to know about Final solution option [Loan_prediction] (8)
Confusion in replacing aggfunc by np.median() or np.mean() while using pivot table for 'LoanAmount' [Loan_prediction] (4)
I did not understand credit_history variable. Can any one help me with the explanation please? [Loan_prediction] (13)
Loan_Prediction 3 : I dont understand the 'No of Dependent' Variable [Loan_prediction] (4)
Mckinsey hackthon solution sharing [Hackathons] (2)
Option to join slack live chat for Mckinsey Hackathon [Hackathons] (3)
Need Help Improving Accuracy of Model [Loan_prediction] (7)