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Machine Learning vs Deep Learning: Explained with a Simple Linear Regression Example!
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Addressing AI Concerns: Separating Facts from Fears
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Visual Quality Assessment of Multimedia Based on Machine Learning
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How to Generate 32x32 Patches from A Grayscale Image - Python
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Create Augmented Data Using Albumentations Library in Python
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Optical Flow Maps Using OpenCV in Python
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Curve Fitting Plots in Python
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Data Analysis Using Violin Plots and Bar Plots of Seaborn Library - Python
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Classification Evaluation Metrics of Sklearn: AUC-ROC, Confusion Metrix and Classification Report
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Regression or Classification - An Experiment on MNIST Dataset – Python | Part 01
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GridSearchCV - Tune Hyperparameters in Classification on MNIST Dataset – Python | Part 02
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Prepare Features and Save in CSV File – Python | Part 01
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Prepare Features and Save in CSV File – Python | Part 02
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Save a trained model using ModelCheckpoint in Keras - Python
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Train a Deep Autoencoder Network on MNIST dataset in Keras and Record duration of Training - Python
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Write a Deep Autoencoder Network in Keras - Python
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Read MNIST Images Based on Wave and Zigzag Orders in Python
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Load and Read MNIST Images in Python
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Access an array in wave order and write the output in .mat file in Python
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How to write a downsampled video in Python - Part03
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Downsampling - How to select a specific number of frames from a video in Python - Part02
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About
In this channel, you will learn programming solutions to different problems, in Python, MATLAB, PHP. You will also learn basic concepts related to web development. I want to help research students doing small tasks so that their big projects do not stop. :)
Remember that, every problem has multiple solutions, and you will find one of those solutions here in this channel.
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