A complete overview revealing a diverse range of strengths and weaknesses for each data versioning tool — Introduction With business needs changing constantly and the growing size and structure of datasets, it becomes challenging to efficiently keep track of the changes made to the data, which leads to unfortunate scenarios such as inconsistencies and errors in data. To help data practitioners, this blog will cover eight of the…

This is the fourth part of my Pandas & Python Tricks — Introduction A couple of days ago, I shared some Python and Pandas tricks to help Data Analysts and Data Scientists quickly learn new valuable concepts that they might not be aware of. This is also part of the collection of tricks I share daily on LinkedIn. Pandas Change columns data type Wrong data format is a…

Time is valuable, make the most out of it! Introduction Almost every company has an Excel spreadsheet, and many data practitioners are familiar with using spreadsheets for data analysis. …

Learn about classification in machine learning, looking at what it is, how it’s used, and some examples of classification algorithms — Introduction Nowadays, many industries have been dealing with very large data sets of different types. Manually processing all that information can be time-consuming and might not even add value in the long term. Many strategies, from simple automation to machine learning techniques, are being applied for a better return on investment…

Make your Python outputs more understandable to humans — Introduction We don’t need to rely on any statistics to realize that Python is one of the most used programming languages by Software developers, Data Scientists, and more. …

This is the third part of my Pandas & Python Tricks — Introduction A couple of days ago, I shared some Python and Pandas tricks to help Data Analysts and Data Scientists quickly learn new valuable concepts that they might not be aware of. This is also part of the collection of tricks I share daily on LinkedIn. Pandas Replace values from a dataframe based on conditions If you want to replace…

Understand all the ins and outs of heatmaps, and their application using Power BI — Motivation As Data Scientist, being able to provide businesses with a clear and concise visualization can help them grab key information about their data for quick and efficient decision-making. Different types of visualizations exist to communicate different messages. For instance, histograms are used to measure the distribution of numerical data, scatterplots…

This article is a comprehensive overview of the fundamentals of statistics for Data Scientists and Data Analysts — Motivation Building Machine Learning models are cool for making predictions. However, they are not suitable when it comes to having a better understanding of your business problem, which requires the most time in statistical modeling. This article will first try to build your understanding of the fundamentals of statistics that can…

Understand Transformers and harness their power to solve real-life problems in Python — Introduction In the field of Natural Language Processing (NLP), researchers have made significant contributions over the past decades, resulting in innovative advancements in various domains. Some examples of NLP in practice are provided below: Siri, a personal assistant developed by Apple, can assist users with tasks like setting alarms, sending texts…