Understanding Naive Bayes in a nutshell
If we keep it simple😜, Thinking of a machine learning model which digest the numeric data very easily one may wonder what happens with the text data? How a model trains on a text data? A widely known field of Artificial Intelligence called Natural Language Processing (NLP) having the origin as the same question.
In this article we will try to understand the Naive Bayes algorithm from end-to end and try to implement it in a machine learning model.
This article has three phases * Bayes theorem * Understanding Naive Bayes algorithm * Implementation…
Proving relevant features for your machine learning model
Many of us agree with me that human mind understand graphical representation way better than any numeric forms of data. That’s the place where graphs comes into the picture. Many ML developers uses heatmap in machine learning model. But do we actually understand the meaning of it? Even we do, does it actually justify your model?
Today I will be digging deep into Seaborn heatmap and justifying using a ML model so that it answers our questions.
The actual purpose of this article to understand the meaning of the heatmap rather than…
I was having a peaceful day with me and my sharepoint until one day my boss came and told me he needed an angular application.
BOSS: I need an angular app.
ME: Ok. I need to have a platform where I can host that angular app.
BOSS: Well where have you been hosting other apps till now?
ME: On sharepoint.
BOSS: Then host the angular app on sharepoint.
ME: Whaaaat? (inside my head).
ME: Nodded my head agreeing with him.
Having a sharepoint hosted app with angular integrated is one in many possibilities which we will look into today.
This…
Aditya Srivastva
Machine Learning | Predictive Modeling | Angular
