Learn how to use Huggingface transformers and PyTorch libraries to summarize long text, using pipeline API and T5 transformer model in Python.
Learn how to build a deep learning model that is able to detect and recognize your gender just by your voice tone using Tensorflow framework in Python.
Learn how to configure your MySQL server to be able to accept remote connections from Python
Blurring and anonymizing faces in images and videos after performing face detection using OpenCV library in Python.
Learn how to use Python's built-in ftplib module to download and upload files in a FTP server using RETR and STOR commands respectively.
Learn how you can scrape forms from web pages, as well as filling and submitting them using requests html and beautiful soup in Python.
Listing all files and directories in an FTP server using LIST, NLST and MLSD FTP commands in Python using the built-in ftplib module.
Building deep learning models (using embedding and recurrent layers) for different text classification problems such as sentiment analysis or 20 news group classification using Tensorflow and Keras in Python
Learning how to create your own Google Custom Search Engine and use its Application Programming Interface (API) in Python.
Using the state-of-the-art YOLOv3 object detection for real-time object detection, recognition and localization in Python using OpenCV and PyTorch.
Predicting different stock prices using Long Short-Term Memory Recurrent Neural Network in Python using TensorFlow 2 and Keras.
Learn how to perform web scraping at scale by preventing websites to ban your ip address while scraping them using different proxy 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 shell 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, lines and circles 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 TensorFlow in Python.
Learn how to extract and download images from a single web page in Python using requests and BeautifulSoup libraries.
Building a deep learning model to generate human readable text using Recurrent Neural Networks (RNNs) and LSTM with TensorFlow and Keras frameworks in Python.
Building and training a model that classifies CIFAR-10 dataset images that were loaded using Tensorflow Datasets which consists of airplanes, dogs, cats and other 7 objects using Tensorflow 2 and Keras libraries 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 and GPU information, disk and network usage in Python using platform, psutil and gputil libraries.
Writing a server and client Python scripts that receives and sends files in the network using sockets module 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.
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 library in Python.