Predicting different stock prices using Long Short-Term Memory Recurrent Neural Network in Python using TensorFlow 2 and Keras.
Prevent websites to ban your IP address while scraping websites or anonymizing your browsing using different proxy servers and methods in Python.
Extracting HTML tables using requests and beautiful soup and then saving it as CSV file or any other format in Python.
Using different hashing algorithms such as SHA-2, SHA-3 and BLAKE2 in Python using hashlib built-in module for data integrity.
Using ipaddress standard Python library to manipulate IPv4 and IPv6 addresses, networks, subnets and more.
Building a Python script that detects XSS vulnerability in web pages using requests and BeautifulSoup.
Learning how you can execute BASH commands and scripts on a remote machine in Python using paramiko library.
Learning how you can automate routine tasks and manage servers on your Veesp Virtual Private Servers or dedicated servers in Python using Web APIs and requests library.
Using Python standard library pickle module to save (pickle) and load (unpickle) any type of object in Python.
Learning how to hide secret data in images using Steganography least significant bit technique in Python.
Using K-Means Clustering unsupervised machine learning algorithm to segment different parts of an image using OpenCV in Python.
Learning how to detect contours in images for image segmentation, shape analysis and object detection and recognition using OpenCV in Python.
Using Tesseract OCR library and pytesseract wrapper for optical character recognition (OCR) to convert text in images into digital text in Python.
Detecting shapes and lines in images using Hough Transform technique with OpenCV in Python. Hough transform is a popular feature extraction technique to detect any shape within an image.
Learning how to apply edge detection in computer vision applications using canny edge detector algorithm with OpenCV in Python.
Learn what is transfer learning and how to use pre trained MobileNet model for better performance to classify flowers using Keras in Python.
Extracting all image tags from a web page using requests and beautiful soup, and download them all automatically in Python.
Building a model to generate human readable text using Recurrent Neural Networks (RNNs) and LSTM with Keras in Python.
Building and training a model that classifies CIFAR-10 dataset images which consists of airplanes, dogs, cats and other 7 objects using Keras library in Python.
Sniffing and printing HTTP packet information, such as the url and raw data ( passwords, search queries, etc. ) in case the method is POST.
Extracting and Fetching all system and hardware information such as os details, cpu, memory, disk and network usage in Python using psutil and platform library in all platforms.
Writing a server and client Python scripts that receives and sends files in the network using sockets in Python.
Classifying emails (spam or not spam) with GloVe embedding vectors and RNN/LSTM units using Keras in Python.
Forcing devices to disconnect from a network by sending deauthentication frames continuously using Scapy library in Python, this is called deauthentication attack.
Writing a DNS spoofer script in Python using Scapy library to successfully change DNS cache of a target machine in the same network.
Creating fake access points and fooling nearby devices by sending valid beacon frames to the air using scapy in python.
Learn how you can write your own fast and simple port scanner script in Python using sockets.
Writing a simple Python script using Scapy that identifies and detects an ARP spoof attack in the network.
Building a Speech Emotion Recognition system that detects emotion from human speech tone using Scikit-learn library in Python
Top python libraries and modules that every data scientist and machine learning engineer must know, learn and master.
Building a simple network scanner using ARP requests and monitor the network using Scapy in Python in less than 5 minutes.
Scapy is a powerful Python-based interactive packet manipulation program and library.