Writing
All notes
A chronological index of technical writeups, project notes, and learning logs.
DATA PIPELINE ORCHESTRATION
ETL data pipeline design using cloud data engineering tech stack and data models
Anomaly Detection in Electricity Consumption
Important facts: Anomaly detection is a very important and active business metric for various fields. A technique that is used to identify the unusual patterns that are not in sync with the expectations. It has many applications in business-like health...
An End-to-End Machine Learning Web App
Important Facts: Works best on 30 house amenities classes (as this model is trained on pre-defined amenities) Achieved mAP@0.5:0.95 - 0.495 – close enough to be a viable product Built on Pytorch, trained using GCP (1 GPU - P1000), developed API using...
M5 - Forecasting - Part-III
After thorough exploration of the data and time-series visualization, now I will try my hand at forecasting methods and predicting the demand for the three states and three products seperately. We will discuss various different approach present, used and de...
M5 - Forecasting - Part-II
After having explored this huge dataset, I wanted to explore with more of time-series components to understand the distribution much better. So, lets dive in. For Initial Data Exploration of this data, please read here - PART-I
M5 - Forecasting - Part-I
This is from a kaggle competition, where I wanted to participated and apply my learnings in forecasting methods. In this 1st part post, I am exploring the data with various visualization and trying to understand the dataset.