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Convolutional neural network architecture and cnn image recognition. In this article, learn about convolutional neural networks and cnn to classify images.
Learn the differences between ridge and lasso regression, linear regression basics, gradient descent, R-squared, regularization techniques,.
This article provides a simple tutorial for how to create GIF images. A complete guide to use gganimate package in R to create animated graphics or GIFs.
Explore Light GBM advantages, installation, important parameters, and how it compares to XGBoost. Learn tuning techniques. Read Now!
This article helps us understand working of machine learning algorithms using LIME package. Using LIME, you can understand working of black box ML models.
A comprehensive guide explaining linear algebra, matrices, their use to solve linear equations and their application in data science & data scientists
ElasticSearch and Kibana is a highly scalable and open source. This tutorial will help you perform exploratory data analysis using ElasticSearch and Kibana.
PyData 2017 held in Amsterdam includes talks on machine learning, deep learning and NLP. The content involved applications, tools and hands-on sessions.
Here is the approach for top 3 winners of QuickSolver MiniHack, DataFest 2017. Read the detailed approach & solution to competition along with their codes.
42 questions on SQL which every data scientist must know. SQL is used very heavily in data science. This test will help you assess your skill on SQL.
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