May 20, 2020

Transfer Learning in Convolutional Neural Networks simply explained

Transfer learning involves taking a pre-trained neural network and adapting the neural network to a new, different data set. Depending […]
May 2, 2020

Kalman Filter Simply Explained

Let’s start from what a Kalman filter is: It’s a method of predicting the future state of a system based […]
February 21, 2020

Walkthrough of an exploratory analysis for classification problems

In this post I outline how to perform an exploratory analysis for a binary classification problem. I am going to […]
February 5, 2020

Dealing with Imbalanced Data Imbalanced classes are a common problem in machine learning classification where there are a disproportionate ratio of observations […]
February 3, 2020

Exploratory Data Analysis Visualizing the distribution of a dataset — seaborn 0.10.0 documentation Plotting with categorical data […]
January 30, 2020

Using Kaggle Datasets in Google Colab

Step-by-step — Create an API key in Kaggle.To do this, go to and open your user settings page.  Next, […]
January 30, 2020

Getting Started With Google Colab

If you want to create a machine learning model but say you don’t have a computer that can take the […]
January 30, 2020

Gated Recurrent Unit (GRU) With PyTorch Have you heard of GRUs? The Gated Recurrent Unit (GRU) is the younger sibling of the more popular Long Short-Term […]