Performed various statistical tests to check the correlation between air fare and other factors and eda on air fare to bring out meaningful factors such as seasonality. Used Arima and Neural net models for the prediction of air fare based on previous time series data

Analysis and Model building process: Performed preprocessing and text cleansing method using NLTK library.Implemented binary classification and modeling the topics.Trained various models with Analysis resulting in upwards of 85?curacy in classification.Built classifier by doing exploratory data analysis using panda and Sklearn.Deploying on Heroku (Cloud Platform) with JSON for REST API

Naive Bayes, SVM and Latent Dirichlet Allocation,Deep learning, Analysis and Model building process: Performed preprocessing and text cleansing method using NLTK library.Implemented binary classification and modeling the topics.Trained various models with Analysis resulting in upwards of 81?curacy in classification.Deploying on Heroku (Cloud Platform)