keerthiraj-nagaraj Goto Github PK
Name: Keerthiraj Nagaraj
Type: User
Company: Palo Alto Networks
Bio: Staff Data Scientist at Palo Alto Networks
Twitter: keerthirajkeeru
Location: California
Keerthiraj Nagaraj's Projects
alitheia
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.
black-friday-sales-analysis-prediction
User demographic data driven purchase amount prediction with regression models for Black Friday sales data
bridge
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.
cluster-ranking
Cluster ranking using Spectral clustering and Eigenvector centrality
cough-detection-with-transfer-learning
Cough detection with Log Mel Spectrogram, Wavelet Transform, Deep learning and Transfer learning techniques
deepnets-for-image-classification
Multilayer Perceptron Neural Networks and Convolutional Neural Networks for fashion MNIST image data classification
dynamic-clustering
adaptive clustering for dynmaic networks
epcn-smart-grid
EPCN smart grid project files
fishing-the-phish
ShellHacks 2019 "Akamai Security Challenge" 1st place winning project - Data Science, Natural Language Procesing and Machine Learning techniques for detection of phishing links.
ibm-quantum-challenge-2020
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.
ml4sci-hackathon-project
ML4SCI hackathon NMR spin challenge winning project. Training machine learning models for multi-target regression problem.
nlp-ml-for-us-political-data-analysis
USA political party affiliation and ideology classification from text data using machine learning and natural language processing principles
yelp-rating-prediction-with-neo4j-graph-embeddings-and-ml
Exploring machine learning and graph embedding concepts from Neo4j for training models to predict user rating for various restaurants from yelp data
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