Conv2D is a Keras function that is widely used in building CNNs for image processing tasks. In this article, we will discuss Conv2D in detail, including its working principle, code implementation examples, and practical use cases. Find more on use of Keras in Deep Learning here What is Convolution operation? The convolution operation is a …
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 very important before proceeding to building forecasting models because this is a key assumption in …
Augmented Dickey-Fuller Test In Time-Series Analysis Read More »
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 explore how to use the re library to match exact strings in Python, with good …
Matching Entire Strings in Python using Regular Expressions Read More »
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 further ado, let us start. What is Gradient Descent? Gradient descent is an optimization algorithm …
Gradient descent algorithm with implementation from scratch Read More »
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 is no association between your interest variables or that there is no distinction between groups. …
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 fields, different sectors, different companies stores?Well, the answer is all the data is stored in …
Pandas read_sql_table — Read SQL database table into a DataFrame Read More »
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, and it can be used to read data from a variety of sources, including text …
Pandas read_table — Read general delimited file into DataFrame Read More »