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Table of Contents

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Links to all other posts in a structured way. Table of contents.

By Achyuthuni Sri Harsha 16/01/2019 Off
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Inventory planning model

Data Sciences

A multi period integer programming model was used to predict when and by how much quantity a new purchase has to be done in a Kirana store.

By Sri Harsha 01/09/2019 Off
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All you ‘really’ need to know | Python Notebook | Advanced – Pandas

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All you ‘really’ need to know | Python Notebook | Advanced – Pandas

It’s pretty obvious to summon the fact that you wouldn’t have clicked on this article if you have no understanding of the basics and intermediate level concepts of Python. You have? Then it is fair enough to go ahead with this article. You are confused with some basic stuffs, or perhaps forgot about it? I…

By Tamoghna Saha 06/02/2019 Off
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Why are basics important?

Data Sciences

Explains why basics are important using a simple example.

By Achyuthuni Sri Harsha 08/01/2019 Off
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Time series EDA

Data Sciences in-time

Tutorial on Time Series EDA. Contains time plot, seasonal plots and correlogram plots (ACF) for in-time problem with reusable R code.

By Sri Harsha 28/12/2018 Off
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A Not-so-Quick-but-Conceptual guide to Python | Notebook | Intermediate — Part 2

Python
A Not-so-Quick-but-Conceptual guide to Python | Notebook | Intermediate — Part 2

Let me be honest. This notebook took me a lot more time than I excepted because I want my audience to understand the concepts of the some of the topics mentioned below in as granular level as possible, yet not making the notebook lengthy. As promised, this is the part 2 of Python Intermediate of…

By Tamoghna Saha 26/12/2018 Off
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A Not-so-Quick-but-Conceptual guide to Python — Notebook | Intermediate | Part 1

Python
A Not-so-Quick-but-Conceptual guide to Python — Notebook | Intermediate | Part 1

Hi. As mentioned in my previous article, I am now sharing the intermediate part of the Python Tutorial series. I decided to split this part up into 2. Part 1 covers:1. Data Types [list, tuple, dictionary, set, frozenset]2. Conditional statements and loops [if-elif-else, for, while, break, continue]3. File IO [read, write, append, close]4. Exception Handling…

By Tamoghna Saha 19/12/2018 Off
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Handling Google maps location data

Data Sciences
Handling Google maps location data

Getting traffic, vehicle used, location and journey time from Google Maps. Integrating these factors for in-time problem.

By Achyuthuni Sri Harsha 12/12/2018 Off
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Get started with Python | Notebook for Beginner’s level

Data Sciences Python
Get started with Python | Notebook for Beginner’s level

Hi there. My name is Tamoghna Saha, Harsha’s roomie. For my bio, you can take a look at my LinkedIn profile or my GitHub account. He told me to take up the initiative of writing articles on data science on his website. I am not a ‘writing’ kind of a guy but decided to give…

By Tamoghna Saha 02/12/2018 Off
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Class size paradox

Data Sciences
Class size paradox

Explanation of class size paradox using Amrita University placement data. Contains reusable R code for web scraping.

By Achyuthuni Sri Harsha 01/12/2018 Off
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Recent Posts

  • Inventory planning model
  • All you ‘really’ need to know | Python Notebook | Advanced – Pandas
  • Table of Contents
  • Why are basics important?
  • Time series EDA
  • A Not-so-Quick-but-Conceptual guide to Python | Notebook | Intermediate — Part 2
  • A Not-so-Quick-but-Conceptual guide to Python — Notebook | Intermediate | Part 1
  • Handling Google maps location data
  • Get started with Python | Notebook for Beginner’s level
  • Class size paradox

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