Shah Blog

A Journey of a Thousand Miles - Lao Tzu

Detection of Mechanical Failure using Anomaly Detection

A comparative analysis between supervised and unsupervised methods

A Tale of Two Algorithms The APS Scania Dataset, a captivating and information-rich dataset, comes from Scania, a top-tier manufacturer of heavy trucks and buses. It was created for the Industrial Challenge at the 11th International Symposium on Intelligent Data Analysis (IDA 2012), with the primary goal of minimizing the overall cost of incorrect decisions made by truck operators when predicting failures in Air Pressure System (APS) components. In anomaly detection, we often face the critical choice of selecting between supervised and unsupervised learning algorithms, depending on the type of anomaly we aim to detect.

Statistical vs Analytical Data Drift Analysis

Using machine learning to analyse data drift

In this blog post, we will explore the importance of data drift monitoring and discuss best practices for implementing it in your machine learning workflow.

Intiating Python Scripts Using RPA Automation Tools

Amalgamating the convinience of UiPath with the flexibility of Python

In this blog post, we discuss how to use UiPath, a powerful automation platform that allows users to automate repetitive tasks and processes, and Python to streamline the process of Covid-19 detection using neural network classification.

Building A Hotel Booking Cancellation Prediction App

How to build a Streamlit app to predict booking cancellation

This article dives into the hotel booking dataset and takes a look at how we can build a Streamlit app that would allow us to predict booking cancellations.

Understanding Classification Metric with Streamlit

The problem with relying on summary metric for your decisions

This article looks at the different ways a classification model is evaluated on using the Streamlit library to view.