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Hi there 👋

Hi there! I am Shyambhu Mukherjee, a data scientist based on Bengaluru, India. I love working on challenging machine learning problems. I teach currently through my blog on machine learning where I write regularly about basic,intermediate and advanced machine learning methods. I have a beginner level expertise in computer vision and an intermediate level expertise in NLP. Feel free to connect with me via linkedin, follow me at twitter. I am very active in the machine learning community of kaggle. My profile in kaggle can be reached here.
I am currently contributing to lazypredict, the AutoML library as well experimenting different NLP projects over at Iquanti, my current employer.
I also work with data science aspirants to work and develop open source projects to strengthen their portfolios. Some of the work we do can be found in mentorbruh. If you are interested to collaborate with me in similar projects, hit me up in linkedin.
Feel free to reach out to me if you are interested about any of the things I work in, or just wanna chat.
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shyambhu mukherjee's Projects

auto-model-trainer icon auto-model-trainer

this is automatic training app. just upload your numeric dataset and check results for different models.

calculator icon calculator

A very small html repo about bunch of on-page calculators

data-structures-using-python icon data-structures-using-python

This repository will contain data structure implementations using python and will have codes stored from multiple online resources.

housing-data-random-forest icon housing-data-random-forest

this repo contains a example solution of the housing data using random forest. We have not done any feature engineering, but just created the raw variables and tuned the random forest to train and predict.

lazypredict icon lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

mathgenerator icon mathgenerator

A math problem generator, created for the purpose of giving self-studying students and teaching organizations the means to easily get access to high-quality, generated math problems to suit their needs.

nlp-experiments icon nlp-experiments

I will try small experiments on older state of the art models like bart, t5 and others and also plan to work on gpt-3 once I get beta access. This repo will consist of all such experiments.

pong-game icon pong-game

This is a python code written to implement a minimal game of pong, although there is no score board. Explore the code to understand more.

portfolio-optimization-app icon portfolio-optimization-app

this is an application showcasing the power of pypfopt library to create portfolio with minimum risk and maximum gains. [not in advisement capacity]

pygam icon pygam

[HELP REQUESTED] Generalized Additive Models in Python

tkintermusicplayer icon tkintermusicplayer

this is a music player code, using the library Tkinter, which plays, stops musics loaded in the program.

upvotobot icon upvotobot

A basic bot which scraps multiple rss feeds and comments them into upvotocracy.com threads.

youtube-bot icon youtube-bot

This bot is created to exploit selenium's power and login, search, and get a substantial number of http links and go through them to comment in each of the videos.

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