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Suddhasatwa Bhaumik's Projects

100daysofmlcode icon 100daysofmlcode

In this repository, I upload my 100 Days ML Code which I have learned from different courses(Coursera, udemy, edx, udacity), different websites blogs, different tutorials from YouTube, books, and research papers. And this code is basically Siraj Ravalโ€™s 100 Days of ML Code Challenge! Which I completed in 100 days from November 2018 to February 2019. On the basis of my past one and half years of experience, I have done different projects in 100 Days related to Machine Learning, Deep Learning, Computer Vision, Natural Language Processing.

100daysofmlcode-1 icon 100daysofmlcode-1

This repository contains all the required resources regarding the 100+ Days Of ML Code Telgram Group which was driven by me from 1-1-2019 to 31-12-2019 !!

amundsen icon amundsen

Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

bigquery-oreilly-book icon bigquery-oreilly-book

Source code accompanying: BigQuery: The Definitive Guide by Lakshmanan & Tigani to be published by O'Reilly Media

ckan icon ckan

CKAN is an open-source DMS (data management system) for powering data hubs and data portals. CKAN makes it easy to publish, share and use data. It powers catalog.data.gov, open.canada.ca/data, data.humdata.org among many other sites.

coursera--applied-machine-learning-with-python icon coursera--applied-machine-learning-with-python

This repository contains the Solved Assignments for the course Applied Machine Learning with Python by University of Michigan on Coursera https://www.coursera.org/learn/python-machine-learning

data-science-on-gcp icon data-science-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

datacamp icon datacamp

This Repository contains all the courses of Data Camp's Data Scientist with Python Track and Skill tracks that I completed and implemented in jupyter notebooks locally

datacollector icon datacollector

StreamSets Data Collector - Continuous big data and cloud platform ingest infrastructure

dataengineerzoomcamp icon dataengineerzoomcamp

I'm partaking in a Data Engineering Bootcamp / Zoomcamp. I'll store files and progress here.

deep-learning-v2-pytorch icon deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

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