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Deep learning architectures that every data scientist should know. In this article, learn about advanced architectures and types of computer vision tasks.
Explore Genetic Algorithms. Learn the basics, steps, and easy implementation using the TPOT library explained in simple terms. Easy insights for understanding!
Learn Scrapy for web scraping in python, from setting up your system to creating projects and case studies, including e-commerce & RSS feeds.
Tensorboard helps to train NN models. This article is an overview of tensorboard and a framework for training a neural network using tensorboard with keras.
FastText is a very fast NLP library created by Facebook. It is very useful for Word Representations Text Classification. It can create word vectors fast.
Covariate / Dataset shift occurs when variables / environment between your test & train data changes. This poses a problem in solving real life problems.
Tutorial on how to automate machine learning workflow using MLBox. MLBox provides functionalities like missing values imputation, drifting out of box.
Convolutional neural network architecture and cnn image recognition. In this article, learn about convolutional neural networks and cnn to classify images.
This article provides a simple deep learning based solution to Age detection problem. This includes use of neural networks & keras to predict age of person
Learn the differences between ridge and lasso regression, linear regression basics, gradient descent, R-squared, regularization techniques,.
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