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varun bhargava
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How to perform pricing analysis on this data

Started this discussion. Last reply by Justin Burruss Nov 26, 2018. 1 Reply

HiI am working on a data set where I have a data of recommendation set for taskers for a particular tasks. There price, number of completed tasks and position is given. Out of a set of recommendation…Continue

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varun bhargava posted a blog post

Machine Learning - Reviews system

Hi I am working on the attached data set where I have to predict the reviews (1-5). Date is the only column to play with and I have extracted day/month and year out of it. After fitting random forest, I am getting .85 accuracy on training and .80 on test. Clear case of over fitting. If any one provide me with some insights on how to improve the accuracy or with some feature engineering would be great.See More
Jan 12
Justin Burruss replied to varun bhargava's discussion How to perform pricing analysis on this data
"Is this price listed the "ask" price or "rate sheet" price of that tasker at a certain point in time, or actual agreed upon price of their last task at some point in time? You'll have better results with market data if you…"
Nov 26, 2018
varun bhargava posted a discussion

How to perform pricing analysis on this data

HiI am working on a data set where I have a data of recommendation set for taskers for a particular tasks. There price, number of completed tasks and position is given. Out of a set of recommendation only one tasker is selected by the user. My question isBased on the previous, how would you approach the question of:How can we use market data to suggest hourly rates to Taskers that would maximize their opportunity to be hired?Please describe in detail, with code and formulas that support your…See More
Nov 25, 2018

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Data Science, Machine Learning, Business Analytics
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data analyst
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Varun bhargava's Blog

Machine Learning - Reviews system

Posted on January 11, 2019 at 2:23pm 0 Comments

Hi 

I am working on the attached data set where I have to predict the reviews (1-5). Date is the only column to play with and I have extracted day/month and year out of it. After fitting random forest, I am getting .85 accuracy on training and .80 on test. Clear case of over fitting. If any one provide me with some insights on how to improve the accuracy or with some feature engineering would be great.

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