Tanishq Saluja
tanishq9
Programmer, Developer, Learner.
Languages
Repos
61
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20
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13
Top Language
Java
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Top Repositories
Implementation of various Machine Learning Algorithms & Techniques.
Covers majority of Data Structures and Algorithms questions from various online judges.
The dataset is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across 20 different newsgroups. • Builded vocabulary from the dataset which was used as a feature set. • Implemented Multinomial Naive Bayes classifier from scratch for classifying news into appropriate group.
ToDo Notes Application in Kotlin.
p5js canvas used for sketching and keras used for prediction. Deployed on : https://live-mnist.herokuapp.com/
k8s Notes
Repositories
61The dataset is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across 20 different newsgroups. • Builded vocabulary from the dataset which was used as a feature set. • Implemented Multinomial Naive Bayes classifier from scratch for classifying news into appropriate group.
Implementation of various Machine Learning Algorithms & Techniques.
k8s Notes
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ToDo Notes Application in Kotlin.
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Covers majority of Data Structures and Algorithms questions from various online judges.
It is a repository that is a collection of algorithms and data structures with implementation in various languages.
Android Application and Backend Code for Hackathon Project developed at MS Hack 2019.
Using JSON parsing in Java for showing data related to GitHub Users using GitHub's REST API.
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Reactive Microservices with Spring WebFlux
The movie_reviews corpus contains 2K movie reviews with sentiment polarity classification.Here, we have two categories for classification. They are: positive and negative. The movie_reviews corpus already has the reviews categorized as positive and negative.Using NLTK , we can predict whether a review is positive and negative.
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Personal Website Developed Using HTML and CSS.
ExpressJS was used to build APIs for a basic shopping website. Sequelize was used for data persistence. Bootstrap and jQuery were used in frontend for layout and handling AJAX calls respectively.
Basics of HTML & CSS, Inheritence rules, usage of selectors, media-queries, keyframes, bootstrap, creating and using npm packages, using ExpressJS for creating servers, handlebars for rendering in case of JS disabled pages and jQuery for making AJAX calls in case of JS enabled pages, MySQL for data persistence, Sequelize for ORM (Object Relational Mapping), REST APIs, Socket.IO for real-time messaging, MongoDB and mongoose for using NoSQL database, Authentication using PassportJS, Using Python scripts on NodeJS and running custom sklearn, tensorflow or keras pre-trained model in our backend.
p5js canvas used for sketching and keras used for prediction. Deployed on : https://live-mnist.herokuapp.com/