Medium

KSV Muralidhar

KSV Muralidhar

·

Dec 1, 2021

How to add gradient background to Python plots

This article discusses a simple way to add gradient background to plots in Python

How to add gradient background to Python plots

KSV Muralidhar

·

Oct 19, 2021

100% stacked charts in Python

Plotting 100% stacked bar and column charts using Matplotlib

100% stacked charts in Python

KSV Muralidhar

·

Oct 6, 2021

How to derive summary statistics using PostgreSQL

Deriving summary statistics of numerical and categorical fields using PostgreSQL

How to derive summary statistics using PostgreSQL

KSV Muralidhar

·

Sep 24, 2021

Dual Axis plots in Python

This article discusses how to add a secondary axis to Python plots

Dual Axis plots in Python

In

The Startup

by

KSV Muralidhar

·

Aug 17, 2021

How to Build an RSS feed-based News app with Streamlit, Heroku and Android Studio?

Build an Android app that aggregates news from your favorite news websites.

How to Build an RSS feed-based News app with Streamlit, Heroku and Android Studio?

KSV Muralidhar

·

Aug 10, 2021

Building a Search Engine Scraper with Streamlit

Web scraping is an effective technique to acquire data from the web with minimal manual effort

Building a Search Engine Scraper with Streamlit

In

DataDrivenInvestor

by

KSV Muralidhar

·

Aug 7, 2021

1/2 - Is it the Probability of passing a test?

Theoretical probability of passing a test is 1/2 as the sample space, S = {pass, fail}, but the empirical probability might be different.

1/2 - Is it the Probability of passing a test?

KSV Muralidhar

·

Aug 4, 2021

Understanding Autocorrelation in Time Series Analysis

Understanding how autocorrelation works is essential for beginners to make their journey in time series analysis easier.

Understanding Autocorrelation in Time Series Analysis

KSV Muralidhar

·

Jul 29, 2021

My Articles

Topics include ML, Statistics, Data Analysis, Time Series Analysis, Python, SQL, MS Excel and Data Extraction.

KSV Muralidhar

·

Jul 29, 2021

Reshaping Data with Pandas

While analyzing data, we may need to reshape tabular data. Pandas has two methods that aid in reshaping the data into a desired format.

Reshaping Data with Pandas

KSV Muralidhar

KSV Muralidhar

GenAI | Data Science | ML | DL | NLP | CV | Web scraping | Kaggler | Python | SQL | Excel VBA | Tableau | About Me: https://ksvmuralidhar.in/

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