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Learn deep learning and neural networks in under an hour with DigitalSreeni's video tutorial, covering key terms and concepts with available code for practice.
Learn to implement Random Forest in Python with DigitalSreeni in under an hour. Includes data importing, sorting, and feature importance. Code available on GitHub.
Learn to perform Linear Regression using Sci-kit in Python with DigitalSreeni. In less than an hour, understand theory, model creation, and data prediction.
DigitalSreeni offers a beginner-friendly, under 1-hour introduction to machine learning, its types, and relevance to microscopy.
Learn data manipulation and analysis with Python's Pandas library in less than an hour with DigitalSreeni. Covers data loading and basic handling.
Learn to analyze grain size using Python and the watershed algorithm with DigitalSreeni. This less than 1-hour material includes code walkthroughs and practical examples.
Learn to automate grain analysis in metal alloys using Python and microscope images with DigitalSreeni's tutorial. Less than 1 hour workload.
Learn image registration using homography in OpenCV with DigitalSreeni. Master keypoint descriptors like SIFT, SURF, ORB in under an hour.
Learn to identify keypoints in images using algorithms like SIFT, SURF, and ORB with DigitalSreeni's under 1-hour tutorial. Ideal for image processing tasks.
Learn to clean up post-thresholding noise in images using morphological operations in Python with openCV. Offered by DigitalSreeni, it takes less than an hour.
Learn to clean up noise and perform edge detection in microscope images using openCV in Python, in less than an hour with DigitalSreeni.
Learn to read, resize images, and manage channels using openCV in Python with DigitalSreeni's tutorial. Ideal for computer vision and microscope image processing.
Learn to use Random Walker segmentation in Python for image processing with DigitalSreeni. Master the technique in under an hour using a noisy BSE image from an alloy.
Learn to segment microscope images using histogram-based thresholding in Python with DigitalSreeni. Master basic image processing operations in under an hour.
Learn to denoise microscope images using Python in less than an hour with DigitalSreeni. Master denoising algorithms from Sciki-image and numpy libraries. Code included.
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