top of page
Search

Doing Anomaly Detection At Scale
How can you detect anomalies within more than one million time-series to be tracked daily? That's a design problem. We will be discussing...
Rahul Kumar
Aug 20, 20233 min read
62 views
0 comments

Pytorch : in an hour
PyTorch is an open-source deep learning framework primarily developed by Facebook's AI Research (FAIR) lab. It provides a Python-based...
Mr. Data Bugger
Jul 25, 20232 min read
25 views
0 comments

All the definitions you need to know for Kubernetes Interview
1. Kubernetes cluster is a set of physical or virtual hardware, which essentially constitute a set of hosts or servers or computers. 2. A...
Mr. Data Bugger
Sep 26, 20213 min read
39 views
0 comments

Mlflow: ML model lifecycle management
MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model...
Mr. Data Bugger
Aug 22, 20212 min read
220 views
0 comments
Sentiment Analysis using NLTK and Sklearn in Python
Data can be downloaded from - http://www.cs.cornell.edu/people/pabo/movie-review-data/review_polarity.tar.gz Step 1 - loading required...
Mr. Data Bugger
Jun 5, 20212 min read
81 views
0 comments
bottom of page