Archives for new hackathon for ML practioners
In this hackathon, the data science community needs to visualise the food delivery time for different cuisines.
The post New Weekend Hackathon For Data Scientists: Data Storytelling Challenge appeared first on Analytics India Magazine.
The first challenge in MachineHack's Weekend Hackathon Edition #2 is to build a highly scalable sentiment analysis model to classify customers emotions/sentiments from the raw unstructured data.
The post MachineHack Is Back With Weekend Hackathon Edition #2 — The Last Hacker Standing appeared first on Analytics India Magazine.
The first challenge in MachineHack's Weekend Hackathon Edition #2 is to build a highly scalable sentiment analysis model to classify customers emotions/sentiments from the raw unstructured data.
The post MachineHack Is Back With Weekend Hackathon Edition #2 — The Last Hacker Standing appeared first on Analytics India Magazine.
The first challenge in MachineHack's Weekend Hackathon Edition #2 is to build a highly scalable sentiment analysis model to classify customers emotions/sentiments from the raw unstructured data.
The post MachineHack Is Back With Weekend Hackathon Edition #2 — The Last Hacker Standing appeared first on Analytics India Magazine.
MachineHack, in association with TheMathCompany, invites data science enthusiasts to build a machine learning model for predicting the estimated selling price of cars for buyers.
The post MATHCO.THON: The Data Scientist Hiring Hackathon by TheMathCompany appeared first on Analytics India Magazine.
MachineHack, in association with Analytics India Magazine, is back with yet another new hackathon — Merchandise Popularity Prediction Challenge. Understanding the popularity of merchandise to get insights on consumer market dynamics has been crucial for eCommerce business intelligence. As a matter of fact, big brands spend a significant amount of time and money on popularising…
The post Hackathon Alert! MachineHack Challenges ML Community To Predict Merchandise Popularity appeared first on Analytics India Magazine.