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Take your machine learning skills to the next level with feature selection methods. Learn how to outperform the competition and achieve superior results.
This article is a comparison between Keras and Theano. It also covers advanced techniques like transfer learning and fine tuning.
A practical guide on handling structured and imbalanced datasets with deep learning. Learn deep learning experiments with KDD cup 1999 & MNIST datasets.
Keras is a high level library used to build neural network models. This tutorial focuses on its application and ways to solve problems with neural networks.
Learn when to apply TensorFlow neural networks, solve neural network problems, understand image data, and compare TensorFlow with other libraries.
This is a machine learning project for freshers and starters in data science. This would help them build a better resume and get hired
This tutorial helps beginners to get started building machine learning models in R. Learn about machine learning techniques in R with the MLR package.
Data preprocessing in python using scikit learn library that includes scaling, label encoding for preprocessing and preparing data for our models.
This case study is based on Chennai Floods 2015 and measures people's sentiments during he floods by analyzing the response on twitter.
Tutorial on tree based algorithms, which includes decision trees, random forest, ensemble methods and its implementation in R & python.
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