Sai Durga Kamesh Kota

My Blogs

Publish a Python Package like a Pro

Published in Analytics Vidya

If you are in Pythoneer/Pythonista or at least familiar with python, you will encounter the word PIP as this is a vital tool that we will use to install a package to import any package in the program. Have you ever thought of creating your package or wanted to know how this process works then you came to the perfect place?

Deploying ML models To the Web with Flask on AWS EC2 Instance

Published in ShapeAI

Creating a Machine Learning Model is not enough!. Deploying it in a web/android application will fulfill the real-world application. To create a web application we can use Django or Flask as a backend framework. Flask is a micro backend framework that is perfectly suitable for creating a web application with Machine Learning Models.

Running ML Models in Android using Tensorflow Lite

Published in Analytics Vidya

Generally, after we train a model we need to test it. In the Development phase, it can be done using CLI (Command Line Interface). But when we need to proceed to the deployment phase, We need to make our model run

Powerful EDA using SweetViz Library in Python

Published in Medium

Sweetviz is an open-source Python library that generates beautiful, high-density visualizations to kickstart EDA (Exploratory Data Analysis) with a single line of code. The output is a fully self-contained HTML application.

Accelerating ML Models using Microsoft’s HummingBird

Published in Analytics Vidya-Medium

Hummingbird is a library for compiling trained traditional ML models into tensor computations. Hummingbird allows users to seamlessly leverage neural network frameworks to accelerate traditional ML models.

How to deal with Large Datasets in Machine Learning

Published in Analytics Vidya-Medium

Datasets are a collection of instances that all share a common attribute. Machine learning models will generally contain a few different datasets, each used to fulfill various roles in the system.

Resampling Imbalanced data and applying ML Techniques

Published in Analytics Vidya-Medium

When you are dealing with machine learning problems one day or another you will definitely encounter imbalanced data. So let’s discuss what is Imbalanced Data?

Color Separation in an Image using KMeans Clustering using Python

Published in Analytics Vidya-Medium

Color Separation in an image is a process of separating colors in the image. This process is done through the KMeans Clustering Algorithm.K-means clustering is one of the simplest and popular unsupervised machine learning algorithms.

Understanding Image Augmentation Using Keras(Tensorflow)

Published in Analytics Vidya-Medium

When we want to build any deep learning model we need to process more image data, but when we have a limited amount of images then Image Augmentation comes into the race. Image Augmentation is a method of expanding the image

How Google Search Works? Page Rank Algorithm using Python

Published in Analytics Vidya-Medium

PageRank (PR) is an algorithm used by Google Search to rank websites in their search engine results. PageRank was named after Larry Page, one of the founders of Google. PageRank is a way of measuring the importance of website pages.

How Aarogya Setu App Works?

Published in Analytics Vidya-Medium

The app is there on both Google Play and Apple App Store. It is available in 11 languages. It is designed to keep a user informed in case he/she has crossed paths with someone who has tested positive.

Memory Profiling in Python

Published in Devmeet.in

The Ultimate Goal of a software developer is to write quality code. The main aspect to think in writing quality code is looking at complexity