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Hi there, I'm Balaji πŸ‘‹

balajisrinivas

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I'm a Teacher, Developer, and a loving Dad!!

  • πŸ”­ I am a passionate self-taught developer from India.
  • 🌱 I’m currently learning a lot of things
  • πŸ‘― I have a Bachelors in Mechanical Engineering, yet programming became my love ❀️
  • πŸ₯… 2024 Goals: Contribute more Python projects
  • ⚑ Fun fact: I love to listen to music and travel long destinations in motorbike.

Languages and Tools:

HTML5

CSS3

Sass

JavaScript

JavaScript

React

Gatsby

MongoDB

GraphQL

Node.js

Deno

MySQL

MongoDB

Git

GitHub

Terminal



balajisrinivas

Balaji S's Projects

blending-images-with-opencv icon blending-images-with-opencv

Example to show how can we blend two images of same size and overlay a small image on top of a large image using OpenCV

colorizing-black-and-white-images-using-python icon colorizing-black-and-white-images-using-python

Image colorization is the process of taking an input grayscale (black and white) image and then producing an output colorized image. The approach we are going to use here relies on deep learning. We will utilize a Convolutional Neural Network capable of colorizing black and white images with results that can even β€œfool” humans!

customers-leaving-bank icon customers-leaving-bank

A bank is investigating a very high rate of customer leaving the bank. Here is a 10,000 records dataset to investigate and predict which of the customers are more likely to leave the bank soon.

matplotlib icon matplotlib

Functional and Object Oriented Plotting in Matplotlib

model-deployment-using-flask icon model-deployment-using-flask

Created a model to identify Spam messages and deployed the same using Flask. My website URL : https://model-deployment-portfolio.herokuapp.com/

netflix-movies-and-tv-shows-exploratory-analysis icon netflix-movies-and-tv-shows-exploratory-analysis

This dataset consists of tv shows and movies available on Netflix as of 2019. The dataset is collected from Flixable which is a third-party Netflix search engine. In 2018, they released an interesting report which shows that the number of TV shows on Netflix has nearly tripled since 2010. The streaming service’s number of movies has decreased by more than 2,000 titles since 2010, while its number of TV shows has nearly tripled. It will be interesting to explore what all other insights can be obtained from the same dataset. Integrating this dataset with other external datasets such as IMDB ratings, rotten tomatoes can also provide many interesting findings.

nlp icon nlp

Spacy Basics, Spans, Tokenization, Tokenization Visualizers, Stemming (Porter Stemmer and Snowball Stemmer), Lemmatization and Stopwords.

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