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Bhagyaraj Chitoth's Projects

100-days-of-code icon 100-days-of-code

Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)

account-backups icon account-backups

Script to manually backup accounts while the network is still in alpha/beta.

account-manager icon account-manager

Account manager desktop application for thenewboston digital currency.

analyzing-visualizing-data-powerbi icon analyzing-visualizing-data-powerbi

This repository contains the lab files and other resources for the free Microsoft course DAT207x: Analyzing and Visualizing Data with Power BI. To learn how to connect, explore, and visualize data with Power BI, sign up for this course on edX.

azure-tdsp-projecttemplate icon azure-tdsp-projecttemplate

Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.

azure-tdsp-utilities icon azure-tdsp-utilities

Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science

azuredevopslabs icon azuredevopslabs

Learn how you can plan smartly, collaborate better, and ship faster with a set of modern development services with Azure DevOps.

bitcoinbook icon bitcoinbook

Mastering Bitcoin 2nd Edition - Programming the Open Blockchain

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

d3 icon d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

d3-book icon d3-book

Code examples for “Interactive Data Visualization for the Web”

d3-cookbook icon d3-cookbook

Source code for "Data Visualization with D3 Cookbook"

dat210x icon dat210x

Programming with Python for Data Science Microsoft

github-demo icon github-demo

a simple demo repository to show the basic Git workflow

gitignore icon gitignore

A collection of useful .gitignore templates

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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