Learn how to make a simple rich text editor where we can set a number of predefined styles for parts of the text via a Graphical User Interface (GUI) using Tkinter in Python.
Top python libraries and modules that every data scientist and machine learning engineer must know, learn and master.
Master the argparse module in Python with this comprehensive tutorial, covering command-line applications, argument parsing, real-world examples, integration with other libraries, and best practices to create user-friendly interfaces and powerful command-line tools.
Learn how to crack hashes using Python's hashlib library and a brute-force approach with a wordlist. Gain insights into various hashing algorithms and understand the importance of secure data handling.
Learn how to use Python's built-in re module to use several string matching techniques using functions like match, search, finditer and sub.
An overview of model explainability and interpretability fundamentals, AI applications, and biases in AI model predictions. We looked at utilizing SHAP and LIME to explain a Logistic Regression model and how to explain and interpret an ensemble model.
Learn how to use the fxcmpy API in Python to perform trading operations with a demo FXCM (broker) account and learn how to do risk management using Take Profit and Stop Loss
Learn how to do Automatic Speech Recognition (ASR) using APIs and/or directly performing Whisper inference on Transformers in Python
Deep-dive into the BLEU Score: A guide to understanding BLEU (Bilingual Evaluation Understudy), a vital metric in NLP. Learn how it evaluates machine-generated sentences against human references in text summarization, translation, and more with NLTK in Python.
Learn how you can easily perform sentiment analysis on text in Python using vaderSentiment library.
Learn how to use pre-trained image captioning transformer models and what are the metrics used to compare models, you'll also learn how to train your own image captioning model with Pytorch and transformers in Python.
Create a spyware in Python in this guide. Learn to build a surveillance tool that captures live video streams via a client-server architecture, with practical insights into network communication and video handling using OpenCV.
Learn how you can extract DNS information of a domain name such as nameservers, IP addresses, email services and more using dnspython library in Python.
Learn how to make a simple text adventure game with Python using the os, json, and pyinputplus modules.
Learn how to build a simple text editor that opens and saves text files using Tkinter library in Python
Learn how to fine tune the Vision Transformer (ViT) model for the image classification task using the Huggingface Transformers, evaluate, and datasets libraries in Python.