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The Spirit of Nikola Tesla's Projects

bangalore-batch-regression-residency icon bangalore-batch-regression-residency

Python Scripts, Datasets and Paint Illustrations for the Bangalore batch students. I am making this much effort for you so that when I visit Bangalore someday, you guys take me sightseeing. One more thing, don't forget to treat me with a Biryani after placement. Otherwise, in the words of Liam Neeson from Taken, "I will find you."

gbu-fdp-machine-learning-models icon gbu-fdp-machine-learning-models

Datasets and Scripts of the examples explained in the Faculty Development Program organized at Gautam Buddha University, Gr. Noida on 04th of January 2019

jsf-crud icon jsf-crud

An Application to perform the CRUD (Create, Read, Update, Delete) operation using the JSF (Java Server Faces) framework and Oracle Database.

jsf-crud-with-bootstrap-and-oracle icon jsf-crud-with-bootstrap-and-oracle

An Application to perform the CRUD (Create, Read, Update, Delete) operation using the JSF (Java Server Faces) framework and Oracle Database. The designing and styling part has been handled by using the Bootstrap framework.

mnist-kaggle-competition-the-winning-solution icon mnist-kaggle-competition-the-winning-solution

The project provides a step by step guide to solving and winning the MNIST competition on Kaggle. MNIST is a famous computer vision dataset that is often cited as a "Hello World!" for Machine Learning

nielit-workshop icon nielit-workshop

Sample Dataset and Python Scripts coded and discussed in the workshop

one-to-many-relationship-in-hibernate icon one-to-many-relationship-in-hibernate

A simple application to demonstrate the One to Many relationship using the hibernate framework. The relationship is maintained between a list of Questions and multiple Answers associated. The Answers are represented by a separate POJO class and are marked as an entity.

pokemon-classification icon pokemon-classification

The project aims at using state of the art machine learning algorithms for classifying pictures of Pokemon. The pictures belong to three specific type of Pokemon (Pikachu, Butterfree, Ditto) The project also uses a neural netwok to avoid overfitting.

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