How to Learn To Code From Zero and Get a Coding Job
Comprehensive guide for learning to code and securing a coding job, tailored to different age groups. Offers practical advice and resources for beginners to experienced learners.
How to Run Python on Android Phones
Learn to run Python on Android phones using two different applications, with a comparison and recommendation for the best option.
Python Django Tutorial - Build a Todo App
Learn to build a Todo app with Django, covering installation, database setup, models, views, templates, and admin panel customization.
Python Automation with ChatGPT
Learn to automate tasks using Python and ChatGPT API. Create scripts for translating blog headers and organizing downloads folder, with step-by-step guidance on API integration and execution.
Data Driven Maps With Python Folium & Leaflet.js
Learn to create interactive maps using Python Folium and Leaflet.js. Covers markers, geojson overlays, choropleths, and data integration for powerful data-driven visualizations.
SPLADE - The First Search Model to Beat BM25
Explore SPLADE, a groundbreaking sparse embedding model for AI-powered search. Learn its advantages over traditional methods, implementation techniques, and potential future developments in vector search technology.
Application of Autoencoders - Image Colorization
Learn to artificially colorize black and white images using autoencoders in Python. Explore the process, implementation, and practical application of this advanced image processing technique.
An Introduction to Autoencoders - In Python
Learn to build and implement autoencoders in Python for image compression, reconstruction, and various applications like denoising and anomaly detection.
Malarial Cell Classification Using CNN
Learn to classify malarial cells using CNN in Python. Covers dataset acquisition, TensorFlow setup, network design, and result analysis for detecting parasitized and healthy cells.
How to Use Random Forest in Python
Learn to implement Random Forest in Python for data analysis, including data importing, feature engineering, and model fitting techniques.
Linear Regression Using Sci-Kit Learn in Python
Learn to implement linear regression using Sci-Kit Learn in Python, from data import to model creation, evaluation, and prediction. Hands-on coding with real-world data.
Introduction to Pandas - Data Reading and Handling
Learn to load, manipulate, and analyze data using Pandas in Python. Covers CSV file handling, data types, and basic operations for efficient data processing and analysis.
Grain Size Analysis in Python Using Watershed
Watershed-assisted segmentation in Python for analyzing grain size in microscope images, overcoming limitations of threshold-based methods for improved accuracy in feature separation.
Grain Size Analysis in Python Using a Microscope Image
Automate grain analysis in metal alloys using Python and microscope images. Learn image processing techniques to generate summaries and CSV files for quality control and research.
Thresholding and Morphological Operations Using OpenCV in Python
Learn to enhance image quality using OpenCV's thresholding and morphological operations for noise reduction and feature extraction in Python.
Denoising and Edge Detection Using OpenCV in Python
Learn OpenCV techniques for denoising microscope images and performing edge detection, with practical code examples for enhancing image quality without losing crucial information.
Reading Images, Splitting Channels, Resizing Using OpenCV in Python
Learn essential OpenCV operations for image processing: reading, resizing, and channel manipulation. Gain practical skills for computer vision and microscopy image analysis.
Random Walker Segmentation in Python
Explore Random Walker segmentation in Python for noisy BSE images, using markers and combining segments for effective alloy analysis.
Histogram Based Image Segmentation in Python
Learn histogram-based image segmentation in Python for microscopy, covering thresholding techniques, feature extraction, and basic image processing operations to clean segmented regions.
Denoising Microscope Images in Python
Learn techniques for denoising microscope images using Python, exploring algorithms from Scikit-image and NumPy libraries to extract relevant information and improve image quality.
Scratch Assay Analysis With Just 5 Lines Code in Python
Learn to analyze scratch assays efficiently using Python, covering entropy filtering, Otsu thresholding, image processing, and result plotting in just 5 lines of code.