Learn how to build a deep learning malaria detection model to classify cell images to either infected or not infected with Malaria Tensorflow 2 and Keras API in Python.
Learn how to separate your files by extension in your target folder using Python's built-in libraries.
Learn how to make plots with Python and matplotlib by checking texts for their word frequency distributions.
Learn how to connect to a MongoDB database, list databases, collections, insert data into collections, fetching data from collections and more in Python using pymongo driver module.
Learn to protect your downloads from corruption and cyberattacks. This guide teaches you how to verify file integrity using Python, ensuring that your files remain authentic and untampered.
Learn how to reverse videos by extracting frames and loading them in the inverted order using MoviePy library in Python.
Master Python facial recognition with our step-by-step tutorial. Build real-time and image upload systems to identify faces with precision. Essential for security, attendance, and more. Perfect for beginners. Dive into the biometric tech world now!
Learn how to benefit from the encoding/decoding process of an autoencoder to extract features and also apply dimensionality reduction using Python and Keras all that by exploring the hidden values of the latent space.
Learn how to enhance security with Python by implementing Two-Factor Authentication (2FA) using TOTP and HOTP algorithms. This comprehensive guide covers everything from generating OTPs with pyotp to integrating with authenticator apps.
Learn how to perform logistic regression algorithm using the PyTorch deep learning framework on a customer churn example dataset in Python.
Learn how to build a GUI language translator app with tkinter, googletrans, pyttsx3, ttkbootstrap, and pyperclip libraries in Python.
Learn how you can perform K-Fold cross validation technique using the scikit-learn library in Python.
Learn how you can control images generated by stable diffusion using ControlNet with the help of Huggingface transformers and diffusers libraries in Python.
Learn how to use image segmentation transformer model to segment any image using huggingface transformers and PyTorch libraries in Python.
Learn to build a classic Breakout game in Python using Pygame. This tutorial covers setting up the game window, creating the paddle, ball, and bricks, adding ball bouncing logic, updating scores, and incorporating sounds.
This article discusses the preprocessing steps of tokenization, stemming, and lemmatization in natural language processing. It explains the importance of formatting raw text data and provides examples of code in Python for each procedure.