Skip to content
View Keerthiraj-Nagaraj's full-sized avatar
🏠
Working from home
🏠
Working from home

Block or report Keerthiraj-Nagaraj

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. Yelp-rating-prediction-with-neo4j-graph-embeddings-and-ML Yelp-rating-prediction-with-neo4j-graph-embeddings-and-ML Public

    Exploring machine learning and graph embedding concepts from Neo4j for training models to predict user rating for various restaurants from yelp data

    Jupyter Notebook 1

  2. IBM-quantum-challenge-2020 IBM-quantum-challenge-2020 Public

    My solutions to 5 exercises of IBM quantum challenge 2020. Topics include quantum full-adder circuit implementation, circuit optimization and solving various puzzles using Grover's search algorithm.

    Jupyter Notebook 3

  3. BRIDGE BRIDGE Public

    HopHacks 2019 "Best Hack for Social Good" track 1st place winning project - Graph database driven social network platform designed with Neo4j and Python with recommendation and search features.

    Python 2

  4. Alitheia Alitheia Public

    NLP and Deep Learning concepts used to train models using data from FakeNewsCorpus to generate credibility score for text articles, and to obtain relevant tweets from credible sources.

    Python 2

  5. Fishing-The-Phish Fishing-The-Phish Public

    ShellHacks 2019 "Akamai Security Challenge" 1st place winning project - Data Science, Natural Language Procesing and Machine Learning techniques for detection of phishing links.

    Jupyter Notebook 8 2

  6. ML4SCI-hackathon-project ML4SCI-hackathon-project Public

    ML4SCI hackathon NMR spin challenge winning project. Training machine learning models for multi-target regression problem.

    Jupyter Notebook 1 1