Ajinth C (Ajinth)

Ajinth

Geek Repo

Company:Slalom Consulting

Location:Boston, MA

Home Page:https://www.ajinth.com/

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Ajinth C's repositories

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adflab

Azure Data Factory hands-on lab, self-paced. Learn how to lift & shift SSIS packages to the Cloud with ADF. Build new ETL pipelines in ADF, transform data at scale, load Azure Data Warehouse data marts. Also walks through operationalizing ADF pipelines with scheduling and monitoring modules.

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amazon-redshift-getting-started-guide

The open source version of the Amazon Redshift Getting Started Guide.

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amazon-sagemaker-examples

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

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aws-csa-2017

Study Notes for AWS Certified Solutions Architect Associate - 2017

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Data-Analysis-with-R

Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more

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data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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FlatFile_To_Snowflake

This repository contains python code to read a list of flat files (excel for now) and stage them into a staging layer in snowflake. Note (If the ipynb notebook does not load on github, use nbviewer (https://nbviewer.jupyter.org/)

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flyway_ado

Repo to test flyway and Azure devops

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handson-ml

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

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jupyter

Jupyter metapackage for installation, docs and chat

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Kaggle_Iceberg_Classifier

Python Code for the Kaggle Competition on Iceberg Classifiers

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my_workspace

A place where I can put all my code

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public-apis

A collective list of public JSON APIs for use in web development.

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scikit-learn

scikit-learn: machine learning in Python

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scripting_course

:notebook: A reference guide to Linux command line, Vim and Scripting

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Surprise

A Python scikit for building and analyzing recommender systems

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