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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.

License: Other

Python 99.99% CSS 0.01% Makefile 0.01% Dockerfile 0.01%

data-science-ipython-notebooks's Introduction

๐‡๐ž๐ฅ๐ฅ๐จ ๐ญ๐ก๐ž๐ซ๐ž, ๐Ÿ๐ž๐ฅ๐ฅ๐จ๐ฐ <๐šŒ๐š˜๐š๐šŽ๐š›๐šœ/>!

I am very fond of data and new technology enthusiast.

I am always ready to learn and improve development techniques. ๐Ÿ“š

What am currently learning ๐Ÿ“–

  • Data Analitycs *in Progress *
  • Data Science *in Progress *
  • Business AI *in Progress *
  • AWS Cloud

Tech Stack

Python Pentaho Data Integration Tableau AWS

Database

PostgreSQL MS SQL Server Mongo DB Cassandra

Others

Power BI MS Server Integration Services Docker Apache Spark Git VS Code Debian Ubuntu SAP

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๐Ÿ˜Š Happy Coding!

โญ From Fernando

data-science-ipython-notebooks's People

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38elements avatar amaanc avatar amarrella avatar anishshah avatar besirkurtulmus avatar donnemartin avatar greninja avatar incessantmeraki avatar kaihuahuang avatar poornas avatar readmecritic avatar tuanavu avatar

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