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Machine Learning Engineer from India currently working in Hyderabad at Techolution

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  • Currently an Associate Machine Learning Engineer for Techolution working on Face Recognition, Voice Recognition and ML at the Edge
  • I plan on working on technologies are that fun to use and implement so most the projects might come across as hacky but they are a blast to work on
  • I mainly code in Python but I have done projects in C and R. I want to do more on C/C++ because it probably is harder and more fun to work on.
  • This repo will be mostly for fun so if you wanna help on feel free to create a PR. Happy Hacking!

I sometimes write if I find something interest to share. The latest one is the one below, I plan to write more when I get more time.

Technologies I work on 👨‍💻

Python TensorFlow Pandas Google Cloud Platform Numpy Keras openCV


Who doesn't like some stats 🤓

Anandha's GitHub Stats

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GitHub

visitors

Anandha Krishnan H's Projects

fake-tweet-detector icon fake-tweet-detector

This is to create a script using which we can detect fake twitter posts and check if the user mentioned in the post actually tweeted the text in the image or not.

fruit-classifier-perceptron icon fruit-classifier-perceptron

This is to classify any types of fruit into good or bad by first learning what a good fruit is and what a bad one is.

gym-toy-text-guessing-game-v0 icon gym-toy-text-guessing-game-v0

The goal of the game is to guess within 1% of the randomly chosen number within 200 time steps After each step the agent is provided with one of four possible observations which indicate where the guess is in relation to the randomly chosen number

learn-rust icon learn-rust

A repoository to hold all the code use to learn Rust

mbti-prediction icon mbti-prediction

This is to predict the personality based on social media posts made by a user.

twilio-chat-bot icon twilio-chat-bot

Sending a Good Morning WhatsApp message to my Mom every morning using Twilio, AWS and Python

youtube-spam-detection icon youtube-spam-detection

This is to try and detect bots using a similarity measurement mainly Cosine Similarity and Jaccard Similarity and compare their performances

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