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

https://towardsdatascience.com/methods-for-dealing-with-imbalanced-data-5b761be45a18 https://towardsdatascience.com/methods-for-dealing-with-imbalanced-data-5b761be45a18 Imbalanced classes are a common problem in machine learning classification where there are a disproportionate ratio of observations […]
January 30, 2020

Using Kaggle Datasets in Google Colab

Step-by-step — Create an API key in Kaggle.To do this, go to kaggle.com/ 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

https://blog.floydhub.com/gru-with-pytorch/ Have you heard of GRUs? The Gated Recurrent Unit (GRU) is the younger sibling of the more popular Long Short-Term […]
January 30, 2020

Long Short-Term Memory Networks with PyTorch

LSTMs are a particular variant of RNNs, therefore having a grasp of the concepts surrounding RNNs will significantly aid your […]
January 28, 2020

Recurrent Neural Networks (RNN) with PyTorch

Recurrent Neural Networks(RNNs) have been the answer to most problems dealing with sequential data and Natural Language Processing(NLP) problems for […]
January 28, 2020

A Guide to Python’s Magic Methods

Table of Contents Introduction Construction and Initialization Making Operators Work on Custom Classes Comparison magic methods Numeric magic methods Representing […]