Sign in

Exploratory Data Analysis is a key step in any machine learning project. In this blog we will analyse the credit card data to draw key insights from it.

The data has been collected from the UCI repository. We can find the dataset at the UCI repository. …

XGBoost is one of the most celebrated library in the kaggle competitions. It has dominated the space of tabular or structured datasets.The model got so much popularity that top kagglers mainly relied on this library to win competitions. …

(Picture By Dhriv Krishna On Unsplash)

Tracking objects is an important application in the field of computer vision. This has got use cases in survillance system, defence, self driving cars etc. …

Picture By Ivan Diaz On Unsplash

Image quality enhancement is a very common application. Today we can see many apps providing image enhancement modules. In this blog we will see how we can convert a low quality image into a high quality image(to some extent) using image processing.

Procedure:

Consider the below image.

Deep learning techniques have been quite useful for counting and detecting number of objects in an image. However we can make use of the traditional image processing methods to do the same which would have lesser complexity. …

Transfer learning is a useful strategy for applications of image like classification and detection when we don’t have enough data to train the model. This also enables us to train the model with little modification in the pre trained architecture, like adding a layer on top of the model and…

Picture By Pawel Czerneski On Unsplash

Color Quantization is the process of reducing the number of colors in an image while keeping the visual appearance of the image intact. This is an useful image compression technique which is quite useful for the devices that can show limited number of colors due to memory restriction.

Every image…

Picture By Martei Macru On Unsplash

Semantic segmentation is a computer vision problem where we try to assign a class to each pixel . Unlike the classic image classification task where only one class value is predicted(assuming single label classification), in this problem we look for class value for each pixel. The application of image segmentation…

Quora insincere question classification was a challenge organized by kaggle in the field of natural language processing. The main aim the challenge was to figure out the toxic and divisive content. It is binary classification problem where class 0 represented insincere question and class 1 otherwise. …

Picture By Reinhart Julian On Unsplash

Due to the high computation requirement we run deep learning models on powerful servers. However depending on the application sometime it is required to run these models on on customer devices like smartphones,cars etc. These devices have low computational power as well as low power requirement. …

chubu

NLP Engineer

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store