When I am working on a dataset one of the first things that I do is to check for missing values. It is important that missing values are dealt with because the model will not work if there are any missing values in the dataset. Missing values are important because…

I have been working on Kaggle’s playground competitions and, since it is Tuesday, I eagerly began work on January 2023’s fourth competition of the month. This month’s competition focused on credit card fraud and, as a consequence, had a very large class imbalance. There are several ways that a class…

I have been endeavouring to upgrade my skill in data science by studying topics that I did not study when I was in higher education. I therefore took a stab at studying probability and decided to take an Alison course entitled Probability and Combinatorics. …

I have been studying data science for two and a half years and have gained some insights into this field during that time, having studied it quite extensively by taking courses and watching videos on the subject. One question that will no doubt come up is:- What are the various…

If anyone has ever wanted to learn to code in Python but did not know where to begin, this blog post is a good starting point to give an introduction to programming in the language. I have coded the examples used in this post using Python 3.11’s IDLE shell, which…

If an individual wants to be employed in the field of data science, it is important for him to be familiar with many concepts pertinent to machine learning. One such concept is outliers and how to deal with them. In machine learning, an outlier is an observation that is significantly…

Individuals seeking to pursue a career in data science will no doubt encounter technical questions when attending interviews. One such question that could be asked is about collaborative filtering. Collaborative filtering is a method used in recommendation systems to make predictions about a user’s interests by using the interests of…

Last week’s Kaggle playground competition, focused on sklearn’s predict_proba(). predict_proba() is a method provided by the sklearn library for machine learning in Python. It is used to predict the probability of a particular outcome for each sample in a dataset, given a trained model. The method takes in a test…

ChatGPT became available to the public on 30 November 2022, but I only just heard of it early in 2023. I was intrigued by this new chatbot, as I had never used one before. …