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Sujan Shirol
Sujan Shirol

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Published in Towards AI

·Dec 6, 2020

Hypotheses Testing with SciPy

Learn the basics of business decision making with python code — With a lot of hype going on with the data science field, most of us jump directly into machine learning models and algorithms to make business decisions. All the online courses available fail to teach the very basics of decision making. Hypotheses testing is one of the basic building blocks…

Data Science

10 min read

Hypotheses Testing with SciPy
Hypotheses Testing with SciPy
Data Science

10 min read


Published in Towards AI

·Dec 3, 2020

Data Collaboration Made Easier

A data collaboration tool that eliminates data disorganization for small teams without any IT lift — Accept it or not, every data science/analytics team has faced difficulty in managing, organizing, and collaborating datasets that they are working on. DataLogz is a free web tool that offers a zero-implementation cost solution for data science and analytics teams to organize data without complicated IT procedures. …

Innovation

5 min read

Data Collaboration Made Easier
Data Collaboration Made Easier
Innovation

5 min read


Published in Towards AI

·Oct 14, 2020

Descriptive Statistics with Pandas

Statistical concepts with examples, formula, and python code — Contents Estimate of Location Mean Trimmed Mean Weighted Mean Median Mode 2. Estimate of Variability Deviation Mean Absolute Deviation Median Absolute Deviation Variance Standard Deviation Interquartile Range 3. Correlation Understanding the dataset We will be using simple product details dataset which contains Product ID, Cost Price, and Selling Price to demonstrate various statistical methods.

Data Science

8 min read

Descriptive Statistics with Pandas
Descriptive Statistics with Pandas
Data Science

8 min read


Published in Towards AI

·Oct 7, 2020

Python 3.9 Updates in 2 Minutes

The stable version of Python 3.9 is here — The stable version of Python 3.9.0 has been released on 5th October 2020. Let’s see the new major features. Dictionary Merging Consider two dictionaries having the same key-value pairs except one of the values in one dictionary. For example, a person's email id has been changed recently which is in a new…

Programming

2 min read

Python 3.9 Updates in 2 Minutes
Python 3.9 Updates in 2 Minutes
Programming

2 min read


Published in Analytics Vidhya

·Sep 23, 2020

MySQL Functions: Cheatsheet with examples

All commonly used MySQL functions in one place with examples and a short explanation. — There are a ton of functions provided by MySQL and most of them are used extensively. I will be providing the most commonly used functions with a short description. The intension of the article is to provide one spot for all MySQL functions so that one can quickly go through…

Sql

9 min read

MySQL Functions: Cheatsheet with examples
MySQL Functions: Cheatsheet with examples
Sql

9 min read


Published in Analytics Vidhya

·Sep 19, 2020

Beginners Guide to Data Visualization with Bokeh

Building web-based visualization in Python from scratch — Bokeh is a data visualization library in Python. It provides highly interactive graphs and plots. What makes it different from other Python plotting libraries is that the output from Bokeh will be on the web page, meaning if we run the code in python editor the resulting plot will be…

Data Science

7 min read

Beginners Guide to Data Visualization with Bokeh
Beginners Guide to Data Visualization with Bokeh
Data Science

7 min read


Published in Towards AI

·Sep 9, 2020

Automating Data Science with dabl

Are human data scientist’s really required? — dabl stands for Data Analysis Baseline Library. The idea behind dabl is to make supervised learning automated for reducing boilerplate for common tasks. Meaning, while building any predictive model the data has to be cleaned, analyzed, and run through many models with different parameter tuning to get the best accuracy…

Data Science

5 min read

Automating Data Science with dabl
Automating Data Science with dabl
Data Science

5 min read


Published in Towards AI

·Sep 5, 2020

Analyzing CitiBike Data: EDA

Getting the most out of Matplotlib and Seaborn — CitiBike is New York City’s famous bike rental company and the largest in the USA. CitiBike launched in May 2013 and has become an essential part of the transportation network. They make commute fun, efficient, and affordable — not to mention healthy and good for the environment. I have got…

Data Science

6 min read

Analyzing CitiBike Data: EDA
Analyzing CitiBike Data: EDA
Data Science

6 min read


Published in Towards AI

·Aug 30, 2020

6 Pandas Operations You Should Not Miss

Advanced methods and function to crunch some data — Pandas is used mainly for reading, cleaning, and extracting insights from data. We will see an advanced use of Pandas which are very important to a Data Scientist. These operations are used to analyze data and manipulate it if required. …

Data Science

10 min read

6 Pandas Operations You Should Not Miss
6 Pandas Operations You Should Not Miss
Data Science

10 min read


Published in The Startup

·Aug 21, 2020

Unpacking Pandas for Data Science

Using the classic Titanic dataset to unleash the power of Pandas. — If you are already familiar with NumPy, Pandas is just a package build on top of it. Pandas provide more flexibility than NumPy to work with data. While in NumPy we can only store values of single data type(dtype) Pandas has the flexibility to store values of multiple data type…

Data Analysis

9 min read

Unpacking Pandas for Data Science
Unpacking Pandas for Data Science
Data Analysis

9 min read

Sujan Shirol

Sujan Shirol

158 Followers

Editor @ Towards AI | Studying Master's in Data Science | www.sujanshirol.com

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