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Principal Component Analysis in R – Walk Through

Principal Component Analysis in R – Walk Through

Understanding Principal Component Analysis is of paramount importance for any aspiring Data Scientist/Analyst. In-depth understanding of PCA helps in the implementation of effective dimensionality reduction and to build the foundation for development and understanding of other advanced and modern techniques.

The trending story of FaceApp and GANs

The trending story of FaceApp and GANs

If you look closely, results by FaceApp are much more realistic as compared to its image filter based counterparts in the Snapchat and Instagram. So what has FaceApp done which Snapchat and Instagram could not? We will try to answer this question in this blog.

Face Recognition Using Python

Face Recognition Using Python

Introduction AI is revolutionizing the world. Face recognition is one such spectrum of it. Almost most of us use face recognition systems. They are everywhere. One can find them  in devices like our mobile or platforms like Facebook or applications like Photo gallery...

How to Write a Spark Application in Scala

How to Write a Spark Application in Scala

Introduction One of the most difficult tasks in Big data is to select an apt programming language for its applications. Most data scientists prefer R and Python for all the data processing and all the machine learning tasks whereas for all the Hadoop developers, Java,...