Most of the time when you are doing data analysis you won't be dealing with just one data frame but multiple ones or at least multiple datasets created from the same source. pandas has some nifty tools to combine DataFrames in a wide variety of ways. The most common way…

All Machine learning models contain hyperparameters which you can tune to change the way the learning occurs. For each machine learning model, the hyperparameters can be different, and different datasets require different hyperparameter setting and adjusting.

In Data Science and computing in general a pipeline is a set of data processing elements connected in series, where the output of one element is the input of the next one. …

This will be a continuation of my first blog which you can find here: SQL Starter kit In this blog, I wanted to give an overview of SQL with examples so that you are more familiarised with the SQL syntax…medium.com The last thing I mentioned was the IN/NOT IN syntax which allows you to select certain items or exclude certain ones when selecting data in your query. We will continue with more conditional clauses as well…

In this blog, I wanted to give an overview of SQL with examples so that you are more familiarised with the SQL syntax and what you can accomplish with SQL. What is SQL? SQL stands for Structured Query Language, you are able to access and manipulate databases. Basically, SQL allows you to execute…

One of the most important and commonly used tools for Machine Learning is a library called Scikit-learn. I wanted to go over the layout of the Scikit-learn library and explain how to use it. The scikit-learn Estimator An estimator in this case refers to any object that learns from the data, in Scikit…

Recently I have been taking part in a Data Science Internship with a medical company called Medwise. It has been very eye-opening and has introduced me to some of the ways Data Science is being applied within the medical industry. During my Internship I was introduced to the Entity Linkin…

I’m sure a lot of people have seen all the different boot camps available both online and in-person and wondered if that was the right step for them to take to learn Data Science. After having completed the Flatiron 15 weeks Intensive in London, I feel I can shed some…

In this blog, I wanted to go over tips and tricks that I couldn’t do stand-alone blogs for but are very helpful tools for anyone who wants to advance their pandas skills, as well as things that can improve your presentations and simplify the EDA process Highlighting this is something I…