25 Types of Probability Distributions Defined with Examples
In this post, you will learn the definition of 25 different types of probability distributions. Before we get into understanding…
How to Print Unique Values in Pandas Dataframe Columns
A quick post representing code sample on how to print unique values in Dataframe columns in Pandas. Here is a…
Pandas – How to Extract Month & Year from Datetime
This is a quick post representing code sample related to how to extract month & year from datetime column of…
How to Read CSV Files in Google Colab
This post represents a quick code sample in relation to uploading a CSV file from local drive to Google Colab…
Pandas – How to Concatenate Dataframe Columns
Quick code sample on how to concatenate the data frames columns. We will work with example of Boston dataset found…
Difference between Machine Learning & Traditional Software
In this post, we will understand what are some of the key differences between machine learning models and traditional/conventional software.…
Neural Network Architecture for Text-to-Speech Synthesis
In this post, you would learn about a neural network reference solution architecture which could be used to convert the…
Reverse Image Search using Deep Learning (CNN)
In this post, you will learn about a solution approach for searching similar images out of numerous images matching an…
Why Data Scientists Must Learn Statistics?
In order to understand the need for data scientists to be very good at the statistical concepts, one needs to…
When not to use F-Statistics for Multi-linear Regression
In this post, you will learn about the scenario in which you may NOT want to use F-Statistics for doing the hypothesis…
R-Squared Explained for Indian Grandma
In this post, you will learn about the concept of R-Squared in relation to assessing the performance of multilinear regression machine…
Machine Learning – Cloud-native Model Deployments
In this post, we are going to learn about the cloud-native machine learning model deployments. Cloud-native Deployments First and foremost,…
What, When & Why of Regularization in Machine Learning?
In this post, we will try and understand some of the following in relation to regularizing the regression machine learning…
Unit Tests & Data Coverage for Machine Learning Models
This post represents thoughts on what would it look like planning unit tests for machine learning models. The idea is to…
ML Models Confusion Matrix Explained with Examples
In this post, you will learn about the confusion matrix with examples and how it could be used as performance…
Machine Learning Cheat sheet (Stanford)
Here is a great set of cheat sheet on some of the following topics: Supervised learning Unsupervised learning Deep learning…