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Lalithakishore Narayanabahtla's Projects

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.

artificial-intelligence-deep-learning-machine-learning-tutorials icon artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

awesome-bigdata icon awesome-bigdata

A curated list of awesome big data frameworks, ressources and other awesomeness.

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

cognitive-samples-intelligentkiosk icon cognitive-samples-intelligentkiosk

Welcome to the Intelligent Kiosk Sample! Here you will find several demos showcasing workflows and experiences built on top of the Microsoft Cognitive Services.

dat3 icon dat3

General Assembly's Data Science course in Washington, DC

ggvis icon ggvis

Interactive grammar of graphics for R

googlecharts icon googlecharts

Google Charts bindings for the Shiny web framework for R

hol-azure-machine-learning icon hol-azure-machine-learning

Introduction to Machine Learning and Azure Machine Learning Services. Hands on labs to show Azure Machine Learning features, developing experiments, feature engineering, R and Python Scripting, Production stage, publishing models as web service, RRS and BES usage

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