Pinned Repositories
builtwith
CreditCardFraudDetection
R-Shiny webapp, A statistical simulation of process behind fraud detectionl í Interactive simulation of the Data Exploration, samplin§ of data and Modelin§ of data. I have used Kaggle’s dataset and Decision Tree model for the classification, SMOTE for sampling.
MAD-I-adsense-for-audio-data
Python Flask webapp, collects audio data of users through a vanilla JS frontend. Shows advertisement recommendations for user personalization. Semi structured data stored in Mon§oDB cluster, Transaction of data using ETL Pipelines developed in python. Extraction of keywords done by TF IDF
RECAD-ProductRecommendationSystem
A Project Recommendation System Simulation
AdityaLakkad's Repositories
AdityaLakkad/CreditCardFraudDetection
R-Shiny webapp, A statistical simulation of process behind fraud detectionl í Interactive simulation of the Data Exploration, samplin§ of data and Modelin§ of data. I have used Kaggle’s dataset and Decision Tree model for the classification, SMOTE for sampling.
AdityaLakkad/MAD-I-adsense-for-audio-data
Python Flask webapp, collects audio data of users through a vanilla JS frontend. Shows advertisement recommendations for user personalization. Semi structured data stored in Mon§oDB cluster, Transaction of data using ETL Pipelines developed in python. Extraction of keywords done by TF IDF
AdityaLakkad/builtwith
AdityaLakkad/RECAD-ProductRecommendationSystem
A Project Recommendation System Simulation