LaxmiVanam
Advanced Data analytics consultant with over 8 years of experience in data driven technologies.
Arkansas, United States of America
Pinned Repositories
Book-recommendation-system-using-Pyspark
The book recommendation system is based on the Item based collaborative filtering technique. The script is written using pyspark on top of Spark's built in cluster manager. It is used to recommend similar books to each other based on the ratings and the strength of the ratings.
CompensationAnalysis
Fraud-Detection-Challenge
The current problem is to predict if whether a user will download an app after clicking a mobile app ad for TalkingData company.
PricePrediction-NLP-Regression
This used supervised regression model for predicting prices of the products for online shopping website.
SentimentAnalysis_RomanUrdu_data
Sentiment analysis of Roman Urdu dataset
LaxmiVanam's Repositories
LaxmiVanam/PricePrediction-NLP-Regression
This used supervised regression model for predicting prices of the products for online shopping website.
LaxmiVanam/SentimentAnalysis_RomanUrdu_data
Sentiment analysis of Roman Urdu dataset
LaxmiVanam/Book-recommendation-system-using-Pyspark
The book recommendation system is based on the Item based collaborative filtering technique. The script is written using pyspark on top of Spark's built in cluster manager. It is used to recommend similar books to each other based on the ratings and the strength of the ratings.
LaxmiVanam/CompensationAnalysis
LaxmiVanam/Fraud-Detection-Challenge
The current problem is to predict if whether a user will download an app after clicking a mobile app ad for TalkingData company.