Learn how you can pretrain BERT and other transformers on the Masked Language Modeling (MLM) task on your custom dataset using Huggingface Transformers library in Python
Learn how to use pikepdf library to extract useful information from PDF files in Python.
Making two different methods to extract frames from videos with the timestamp with OpenCV or MoviePy libraries in Python.
Learn how to compress PDF files in Python using the wrapper of PDFTron SDK.
Learn how you can use pdf2docx library to convert PDF files to docx word files in Python
Learn how you can extract Wi-Fi passwords that are saved in your machine (either Windows or Linux) using Python without installing any third-party library.
Learn how to use colorama library to print colored text with different colors (such as red, green and blue) in the background and foreground and brightness in Python.
Learn how to use HuggingFace transformers library to fine tune BERT and other transformer models for text classification task in Python.
Learn how to build machine learning and deep learning models for many purposes in Python using popular frameworks such as TensorFlow, PyTorch, Keras and OpenCV.
Learn how to develop your own ethical hacking tools using Python, including password crackers, brute force scripts, information gathering tools, sniffing and much more.
Discussing wide variety of Python topics using various APIs, third party libraries, wrappers, utilities and much more.
Learn how to build web scraping scripts to download, extract and parse structured data from the web using Python.
Using image processing, machine learning and deep learning methods to build computer vision applications using popular frameworks such as OpenCV and TensorFlow in Python.
Explore Python's standard library, modules such as os, json, re, ftplib, imaplib, threading, pickle, socket, random, secrets and many more.
Learn how to use third party web APIs (Application Programming Interfaces) to make requests to extract, analyze and handle data programmatically using Python.
Learn how to integrate databases (relational or non-relational) in your Python programs, so you can appropriately store, manipulate and persist your data.
Learn the basics of finance and technical indicators, using Python to analyze and plot historical stock data, develop models to predict stock prices using deep learning frameworks such as TensorFlow.