Reading text from natural images is very useful in many domains like document analysis, robot navigation, scene understanding, self-driving cars, and image retrieval. It’s also one of the most challenging tasks because of the different fonts, sizes/scales, and text alignment in real-life images. Some of these applications require precise and faster text detection and recognition from the images (recognition from video streams), which makes text recognition strenuous.
Text Detection and Recognition have been two separate tasks in the past, implying…
suggest relevant products as per users’ order history or predict which product a user has bought before is most likely to be purchased again.
kaggle instacart market basket allowance https://www.kaggle.com/c/instacart-market-basket-analysis/overview
It is a kaggle competition held in 2017 with 3000 entries
All the solutions can be found here
Do all the pipelining of machine learning, i.e., eda, trying out various models, tuning the best model, and get the probability values to feed them into the expectation of f1 maximizing algorithm
The different threshold for different orders for maximizing f1 score:-
Suppose we have products A,B with probabilities .9 and…
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