Knowledge in deep learning

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Free courses available on EdYoda Python - https://www.edyoda.com/resources/videolisting/98/ Angular - https://www.edyoda.com/resources/videolisting/1227/ Machine Learning - https://www.edyoda.com/resources/videolisting/1416/ Dog Breed Prediction Project - https://www.edyoda.com/resources/videolisting/1336/ https://www.edyoda.com/resources/videolisting/1185/ Numpy - https://www.edyoda.com/resources/videolisting/1263/ Tensorflow - https://www.edyoda.com/resources/videolisting/99/ Amazon Web Services - https://www.edyoda.com/resources/videolisting/1410/ DevOps - https://www.edyoda.com/resources/videolisting/100/ Android - https://www.edyoda.com/resources/videolisting/101/ https://www.edyoda.com/resources/videolisting/1173/ Implementing Java Api's work - https://www.edyoda.com/resources/dashboard/nayak.chandra1/ Introduction to Neural Nets - https://www.edyoda.com/resources/dashboard/maniksoni653/ Deep Reinforcement Learning - https://www.edyoda.com/resources/videolisting/1421/ Knowledge Graphs, Deep Learning, Reasoning - https://www.edyoda.com/resources/videolisting/1420/ Natural Language Processing - https://www.edyoda.com/resources/videolisting/1419/ GAN Miniseries - https://www.edyoda.com/resources/videolisting/1418/ Videos from deep cognition studio - https://www.edyoda.com/resources/dashboard/deepcognition/

Handwritten Digits Recognizer

This is helpful to correctly identify digits from a data-set of tens of thousands of handwritten images. The data files train.csv and test.csv contain gray-scale images of hand drawn digits, from zero through nine.

Deep learning interview questions.

This PDF file gives you the most important questions which is asked during the deep learning interview.

Essential Machine learning algorithms.

This PDF file containing the knowledge about the most important algorithms which is used in machine learning and artificial intelligence.

OMR sheet evalution

OMR sheet evalution code in python by taking the omr image path as a input

Face detection using python

Face detection code in python language made by using face_cascade.xml file. face_cascade.xml is used for making green box around faces.

Eye Detection using python

Eye Detection program made using python with the help of haarcascade_eye.xml. haarcascade_eye.xml is used for making green boxes around eyes.

Image Segmentation using python

Image Segmentation made using python language. Segmenting an image means making border for each object of a image.

Recursive Feature Elimination (RFE)

Recursive Feature Elimination (RFE) is a feature that recursively removes features and builds a model using the remaining attributes and calculates model accuracy.

Principal Component Analysis (PCA)

Principal component analysis is a statistical technique that is used to simplify the model by analyzing the interrelationships among a large number of variables and to explain these variables in terms of a smaller number of variables, with a minimum loss of information.

Upper Confidence Bound (UCB)

Upper Confidence Bound is a code in python for reinforcement learning concept but not to high to learn.

Thompson Sampling code

Thompson Sampling is a code in python for reinforcement learning concept but not to high to learn.