I like to watch educational videos by a variety of content creators because I am hoping to learn something new or pick up a new technique in each video. It is for that reason that I had high hopes of success when I embarked upon Intellipaat’s 13 hour data science…

In the field of machine learning and specifically the problem with statistical classification, a confusion matrix (or error matrix), is a specific table layout that allows visualisation of the performance of an algorithm, typically in supervised learning (in unsupervised learning a confusion matrix is called a matching matrix) A depiction…

The probability that an event will occur is a fraction of times you expect to see that event in many trials. Probabilities always range between 0 and 1. The formula for calculating a probability is:-

I have been spending the past few days working on a book recommender system and have been using a Kaggle dataset for this purpose. The dataset I have used can be found here:-https://www.kaggle.com/datasets/zygmunt/goodbooks-10k?datasetId=1938&sortBy=dateRun&tab=profile Unfortunately, recommender systems are very memory intensive and I am now unable to view or edit the…

Not long ago I wrote a blog post on how to create a pie chart using only one line of code. That post can be read here:- https://medium.com/geekculture/create-a-pie-chart-in-python-using-only-one-line-of-code-57bd974d8432. I have been working on a compendium of datasets concerning book reviews, which I was able to find on the Kaggle website…

Since data science is fourth career in as many decades, I am continually taking courses and watching tutorials on new techniques in data science. One such machine learning technique, although not necessarily new, is new to me. This technique is called the roc curve.The link to my most recent post…

I love working on different datasets because each one has a different story to tell. In this blog post I have been working on a dataset that will tell if a person has heart disease. This is a binary classification, so in addition to making predictions on whether or not…

The confusion matrix and classification report are sklearn’s goodness of fit indicators for classification models. I have used the confusion matrix and classification report taken from the predictions that I produced using the titanic dataset to explain the metrics used in the classification report. The confusion matrix needs to be…

In my last post I discussed how to carry out a regression in Python in 17 lines of code and that post can be viewed here:- https://medium.com/mlearning-ai/carry-out-a-complete-regression-in-17-lines-of-python-code-a96e791ce704 In this post I intend to reveal how to carry out a classification and prediction in only 12 lines of Python code. In…