Author: Saravanan Jaichandar

Become a Magician using OpenCv !!

Hey Peeps !!!! In this new blog, something interesting awaits for you all !!!!! What’s it all about ???? Let’s write code for becoming a magician using OpenCV !!!! Pardon for incomplete invisible effect ! Due to bad lightning its like this !! 🙂 First, we need to be clear about the libraries that we […]

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Linear Discriminant Analysis (LDA)

Its Linear Discriminant Analysis (LDA) to start off with this new year.  To make the points clear and easy to understand, the definitions used for explaining the concepts is kept short. To understand the Linear Discriminant Analysis, first we need to understand the term called “Dimensionality Reduction“. What is Dimensionality Reduction ? The technique to […]

AutoKeras – a tough competitor for Google’s AutoML

Auto-Keras is an open source software library for automated machine learning (AutoML). It is developed by DATA Lab at Texas A&M University and community contributors. The ultimate goal of AutoML is to provide easily accessible deep learning tools to domain experts with limited data science or machine learning background. Auto-Keras provides functions to automatically search for architecture […]

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TensorFlow 2.0 !!!!

TensorFlow has become the world’s most widely adopted machine learning framework, catering to a broad spectrum of users and use-cases. In this time, TensorFlow has evolved along with rapid developments in computing hardware, machine learning research, and commercial deployment. The latest we hear from Martin Wicke is that : TensorFlow 2.0 is coming with  major […]

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Handling Imbalanced Classes in the Dataset

What is Imbalanced Dataset ? The dataset may contain uneven samples /instances , so that it makes the algorithm to predict with accuracy of 1.0 each time u run the model. For example, if u have simple dataset with 4 features and output(target) feature with 2 class, then total no. of instances/samples be 100. Now, […]

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Data Mining

What is Data Mining? Data mining is process of discovering meaningful new correlations, patterns and trends by sifting through large amounts of data stored in repositories, using pattern recognition technologies as well as statistical and mathematical techniques. Data Mining Process: Develop understanding of application, goals Create dataset for study (often from Data Warehouse) Data Cleaning […]

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Introduction to Pandas

In this blog, you will get to know about the working of pandas library in python with real-time examples. Pandas is one of the most powerful toolkit for data manipulation and analysis built over Numpy. In Panda, namely there are two terminologies : 1.Series 2.DataFrame Series: Series is nothing but the 1-Dimensional array or (1-D […]

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