Published in Analytics Vidhya·Jan 15, 2021Naive-Bayes for mixed typed data in scikit-learnIf we look at the Naive Bayes (NB) implementations in scikit-learn we will be able to see quite a variety of NBs. To name a few … Gaussian Naive Bayes Multinomial Naive Bayes Categorical Naive Bayes All the implementations are designed specifically to fit a particular type of data or…Naive Bayes3 min read
Published in Analytics Vidhya·Jun 2, 2020Killing an ant with a sword #1I am going to play/practice with keras and neural network in this series of posts. We will make a model emulate some commonly used operations in real world. Here i try to make the network lean a simple addition operation. …Keras2 min read
Published in Analytics Vidhya·Nov 13, 2019Notes on Sensitivity, Specificity, Precision,Recall and F1 score.It is common to read blood reports that displays results like positive and negative for certain health condition tests. Say the report states that they have tested negative for Dengue. What does tested negative even mean ? Does it mean you have dengue or you don’t ? It’s quite normal…F 1 Score3 min read
Published in Analytics Vidhya·Aug 8, 2019Methods to reduce runtime memory while using Pandas, PyArrow, Scikit learn in Machine learning.Configure an arbitrary limit to the number of records used While using PyArrow for converting parquet files to data frames, We may be deceived by the size of the actual parquet file. As 3 million rows of data may take less than 400MB of actual file memory. However, this data occupies up to 5 GB of processing memory when converted…Machine Learning2 min read
Jun 13, 2019Notes on K-prototype for clustering mixed typed dataThe problem: In the world of clustering data, k means is a popular algorithm. Where records are grouped (clustered) according to their Euclidean distance w.r.t the ‘k’ number of centroids. But not every time do we have only numeric values in our data points. There will be categorical values that are sometimes…Machine Learning3 min read
Apr 25, 2019Unpacking Machine learning for beginnersThis is part of a series of articles intended for people who want to know what exactly happens behind the scene in the world of Machine learning and Artificial Intelligence. Making a machine to learn is more or less equal to teaching a 3-year-old kid. In order to teach a…Machine Learning5 min read
