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This repository contains my learning path of python for data-science essential training(part-2). Here, I have included chapter-wise topics and my practice problems. Also, feel free to checkout for better understanding.

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bayesian-methods data-science ensemble-model explanatory-data-analysis k-means-clustering linear-regression logistic-regression machine-learning neural-networks

python-data-science-essentials-2's Introduction

Hi ๐Ÿ‘‹, I'm Alina Sahoo!

A data-driven person using tools to gather insights and help businesses.

  • ๐Ÿ”ญ Iโ€™m currently working on Machine Learning.

  • ๐ŸŒฑ Iโ€™m currently learning Data Science Tools.

  • ๐Ÿ‘ฏ Iโ€™m looking to collaborate on Data Science & Machine Learning Projects.

  • ๐Ÿค Iโ€™m looking for help with Product Management.

  • ๐Ÿ‘จโ€๐Ÿ’ป All of my projects are available at https://github.com/alinasahoo

  • ๐Ÿ’ฌ Ask me about Data Analysis, Machine Learing, Business Planning, Project Management.

  • โšก Fun fact Chai over Coffee!

Wanna know more of me, just drop a "Hello" anywhere below:

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python-data-science-essentials-2's People

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