Author Archives: Rithwik Chhugani
The simple concept of MitoSheets is to equip you with spreadsheet functionality in python. It may sound a bit different, but it has a lot of stuff which comes in handy if you are used to Excel but still want to work on python. Python won’t be the optimum solution for every task. There are…
The post Guide To MitoSheets: Harnessing Power Of Spreadsheets In Python appeared first on Analytics India Magazine.
Data scientists and researchers actively look for new and better algorithms to solve existing problems. All the algorithms are mathematically and computationally heavy and have a lot of code involved. Say for example, you’ve made an algorithm which predicts the stock price of Google with 95% accuracy. Following the normal way, you could keep on…
The post Understanding Dockers From Scratch: A Beginners Guide appeared first on Analytics India Magazine.
In this article, we will see how the Taylor series can help us simplify functions like cos(θ) into polynomials for the ease of computation. Taylor series is a modified version of the Maclaurin series introduced by Brook Taylor in the 18th century. Taylor series of a function is an infinite sum of terms that are…
The post Maclaurin & Taylor Series: Simplifying Complex Functions To Polynomials appeared first on Analytics India Magazine.
Benford’s law, often known as Newcomb-Benford law, is an observation about the frequency distribution of leading digits of unconstrained numeric data in the real world. The intuition behind the law dates to the 1880s when an American Scientist, Simon Newcomb started to discover a pattern among the log tables. He noticed that people usually have…
The post Benford’s Law: A Cloak-and-Dagger tool for Data Scientists appeared first on Analytics India Magazine.
Benford’s law, often known as Newcomb-Benford law, is an observation about the frequency distribution of leading digits of unconstrained numeric data in the real world. The intuition behind the law dates to the 1880s when an American Scientist, Simon Newcomb started to discover a pattern among the log tables. He noticed that people usually have…
The post Benford’s Law: A Cloak-and-Dagger tool for Data Scientists appeared first on Analytics India Magazine.
For years we have been generating data and it is subject to change as time passes. It becomes very important for researchers to pay attention to the trends in the past to make accurate predictions for the upcoming series of events. A time series is where the time is the independent variable. Considering the example…
The post An Overview of Autocorrelation, Seasonality and Stationarity in Time Series Data appeared first on Analytics India Magazine.
This article gives us a brief overview of the most used loss functions to optimize machine learning algorithms. We all use machine learning algorithms to solve various complex problems and select them based on the loss function value and evaluation metrics. But do we know that we are selecting the correct loss function for our…
The post Most Used Loss Functions To Optimize Machine Learning Algorithms appeared first on Analytics India Magazine.
In this article, I have tried to integrate some of the great tools and libraries into a Streamlit Web App. It’s always good to deploy your models and findings from EDA on the web to make it presentable. Everyone uses different tools for different parts of the project to be able to make predictions efficiently,…
The post Embedding PowerBI Dashboard In A Streamlit Web App & Deploying On Heroku appeared first on Analytics India Magazine.
In the past we have seen many visualization tools like PowerBI, Tableau, Salesforce, Splunk, etc. and lots of libraries like matplotlib, plotly, ggplot, bamboolib, etc., but how many of us have seen a code editor helping us with visualizations without having to code? Interesting right? This is possible by using the SandDance extension in Visual…
The post Visualizations With SandDance Using Visual Studio Code appeared first on Analytics India Magazine.