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Aishah Ismail
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Published in Python in Plain English

·Feb 16

Data Scientist Interview Coding Question

A step-by-step guide to coding test EDA. — MOTIVATION Currently, it is a norm for companies to implement coding tests as their job initial assessment. The long interview process and timed coding test can be discouraging. In this post, coding test on exploratory data analysis (EDA) will provide an insight on performing EDA based on the question asked, for…

Coding

5 min read

Data Scientist Interview Coding Question
Data Scientist Interview Coding Question

Published in Python in Plain English

·Jun 6, 2021

How to convert google colab jupyter notebook (.ipynb) to HTML

Often, we need to share our code explanations and figures written in a Google colab Jupyter notebook (.py or .ipynb files) with our friends/colleagues/bosses. The simple way is to save them as PDF files. However, PDF files are unable to load large figures or the markdown explanations. An alternative way…

Python

2 min read

How to Convert a Google Colab (.ipynb) Notebook to HTML
How to Convert a Google Colab (.ipynb) Notebook to HTML

Published in Towards Data Science

·Sep 13, 2020

Exploratory Data Analysis on Heart Disease UCI data set**

| A complete step-by-step exploratory data analysis with simple explanation. — Motivation Exploratory Data Analysis (EDA) is a pre-processing step to understand the data. There are numerous methods and steps in performing EDA, however, most of them are specific, focusing on either visualization or distribution, and are incomplete. Therefore, here, I will walk-through step-by-step to understand, explore, and extract the information from…

Exploratory Data Analysis

8 min read

Exploratory Data Analysis on Heart Disease UCI data set**
Exploratory Data Analysis on Heart Disease UCI data set**

Published in Python in Plain English

·Sep 2, 2020

How to use Pandas-Profiling on Google Colab

Automated exploratory data analysis using Pandas Profiling in Jupyter on Google Colab. — Recently, pandas have come up with an amazing open-source library called pandas-profiling. Generally, EDA starts by df.describe(), df.info() and etc which to be done separately. Pandas_profiling extends the general data frame report using a single line of code: df.profile_report() which interactively describes the statistics, you can read it more here.

Google Colab

3 min read

How to use Pandas-Profiling on Google Colab
How to use Pandas-Profiling on Google Colab
Aishah Ismail

Aishah Ismail

Data Scientist | PhD | Statistics | Machine learning | STEM | https://www.linkedin.com/in/aishah-ismail/

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