I built my first CNN a few years ago and kept seeing Conv2D pop up in every tutorial. It took me a while to understand what was actually happening under the hood when the filter slides across the image. This…
In this article we will learn about a very important hypothesis test – ADF test (Augmented Dickey Fuller test) for time series analysis. Performing this test to know if the data we are working on is stationary or not is…
Regular expressions, also known as regex, are an incredibly powerful tool for searching and manipulating text. Python’s regex library, re, makes it easy to match exact strings and perform other types of text processing tasks. In this article, we will…
In this article, we will learn about one of the most important algorithms used in all kinds of machine learning and neural network algorithms with an example where we will implement gradient descent algorithm from scratch in python. So without…
In this article we will learn about p-value and how it is used to infer the significance in any hypothesis. The null hypothesis is present in all statistical tests. The null hypothesis for the majority of tests is that there…
In this article, we will learn about a pandas library ‘read_sql_table()‘ which is used to read tables from SQL database into a pandas DataFrame. What is read_sql_table()? You might always wonder, where does such huge amount of data generated in different…
In this article, we will learn about a pandas library ‘read_table()‘ which is used to read a file or string containing tabular data into a pandas DataFrame. The function is designed to handle many different file formats and data types,…