Python: Procedural or Object-Oriented Programming?

When you first learn a program, you are seemingly using a technique called procedural programming. A procedural program is typically a list of instructions that execute one after the other starting…

What the Null Hypothesis Really Means— According to a Statistics Professor

A simple explanation for what the null hypothesis really means and how to properly interpret p-values, according to a biostatistician.

How to identify the right independent variables for Machine Learning Supervised Algorithms?

There is a very famous acronym GIGO in the field of computer science which I have learnt in my school days. GIGO stands for garbage in and garbages out. Essentially it means that if we feed…

COVID-19 Lockdown Impact Analysis using Python and Plotly

Let us analyze how COVID-19 lockdown has effected daily movement using Google's Community Mobility data.

PANDAS: Put Away Novice Data Analyst Status (Part-1)

How to start data analysis with Python Pandas? Learn about one-liners for different steps in the data analysis process.

The Severe Limitations of Supervised Learning Are Piling Up

Supervised learning has dominated the field of machine learning primarily because big tech companies began to need it. The study first began formally in the 1950s to 1960s, but it has only really…

8 Advanced Python Logging Features that You Shouldn’t Miss

Logging is a very important unit in software development. It helps developers have a better understanding of the execution of the program and reason about defects and unexpected failures. A log…

How Deep Learning Can Keep You Safe with Real-Time Crime Alerts

Citizen scans thousands of public first responder radio frequencies 24 hours a day in major cities across the US. The collected information is used to provide real-time safety alerts about incidents…

towardsdatascience.com 23 hours ago

How I got Certified as a TensorFlow Developer by Google

About a month ago, Deep Learning was a foreign concept to me — I barely had any theoretical background in it, and I had 0 practical experience coding neural networks. Now, a month later, I received…

5 tips for pandas users

A popular Python library used by those working with data is pandas, an easy and flexible data manipulation and analysis library. There are a myriad of awesome methods and functions in pandas, some of…

towardsdatascience.com 14 hours ago