How to generate and add subtitles to videos using Python, OpenAI Whisper, and FFmpeg
Learn how to generate video transcripts using the OpenAI Whisper model and add them as subtitles using FFmpeg. Follow this tutorial to get started!
K-Nearest Neighbors (KNN) in Python
URL: https://www.progressiverobot.com/k-nearest-neighbors-knn-in-python/ K-nearest neighbors (kNN) is a [supervised machine learning](/community/tutorials/supervised-machine-learning) technique that may be used to handle both classification and regression tasks. I regard KNN as an algorithm that originates from actual life. People tend to be impacted by the people around them. The Idea Behind K-Nearest Neighbours Algorithm Our behavior is shaped by the […]
Loss Functions in Python – Easy Implementation
URL: https://www.progressiverobot.com/loss-functions-in-python/ Introduction Loss functions in Python are an integral part of any machine learning model. These functions tell us how much the predicted output of the model differs from the actual output. There are multiple ways of calculating this difference. In this tutorial, we are going to look at some of the more popular […]
MNIST Dataset in Python – Basic Importing and Plotting
URL: https://www.progressiverobot.com/mnist-dataset-in-python/ Welcome to this tutorial on the MNIST dataset. In this tutorial, we will learn what is the MNIST dataset, how to import it in Python, and how to plot it using [matplotlib](/community/tutorials/python-matplotlib). What is the MNIST dataset? MNIST set is a large collection of handwritten digits. It is a very popular dataset in […]
Build and Deploy Your Personal Terminal ChatGPT Bot in Python with OpenAI APIs
URL: https://www.progressiverobot.com/openai-terminal-chatbot/ Introduction Conversational bots have become increasingly popular, providing an interactive way for users to engage with technology. OpenAI's "GPT" (Generative Pre-trained Transformer) models enable developers to create sophisticated conversational agents. In this tutorial, you will build and deploy your personal terminal ChatGPT bot using Python and OpenAI APIs on a cloud servers running […]
How to Use `.pop()` in Python Lists and Dictionaries
Learn how to use the `.pop()` method in Python to remove items from lists and dictionaries. Includes syntax, examples, differences from `remove()`, edge case handling, and best practices.
ReLu Function in Python
URL: https://www.progressiverobot.com/relu-function-in-python/ Relu or Rectified Linear Activation Function is the most common choice of activation function in the world of [deep learning](/community/tutorials/introduction-to-machine-learning). Relu provides state of the art results and is computationally very efficient at the same time. The basic concept of Relu activation function is as follows: Return 0 if the input is negative otherwise […]
The Sigmoid Activation Function – Python Implementation
URL: https://www.progressiverobot.com/sigmoid-activation-function-python/ In this tutorial, we will learn about the sigmoid activation function. The sigmoid function always returns an output between 0 and 1. After this tutorial you will know: What is an activation function? How to implement the sigmoid function in python? How to plot the sigmoid function in python? Where do we use […]
Vectors in Python – A Quick Introduction!
URL: https://www.progressiverobot.com/vectors-in-python/ Hello, folks! Today, we will be having a look at one of the most unaddressed topics in Python that is, Vectors in Python. So, let us begin! First, what is a Vector? A vector in a simple term can be considered as a single-dimensional array. With respect to Python, a vector is a […]
EDA – Exploratory Data Analysis: Using Python Functions
In the previous articles, we have seen how to perform EDA using graphical methods. In this article, we will be focusing on Python functions used for [Exploratory Data Analysis](/community/tutorials/autoviz-module-in-python) in Python. As we all know, how important EDA is it provides a brief understanding of the data. So, without wasting much time, let's roll! Exploratory Data Analysis […]
