In this case study I have perform Exploratory data analysis, data preprocessing, Feature engineering, model building etc on Amazon Fine Foods Reviews dataset. In each and every step of this project, lots of several sub-steps are included. Built various model like KNN, Naive Bayes, Logistic Regressin, Support Vector Machines, Decision Tree, Random Forest, XGBoost & various Clustering Algorithms etc with many featurization tecnique like bow, tfidf, word2vec, average word2vec, tfidf word2vec etc and also performed hyperparameter tuning for each and every model and plotted various plot for checking model stability, convergence of hyperparameter value, underfitting, overfitting etc.
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The Amaon Fine Foods Review dataset consists of reviews of fine foods from Amazon. There are approximate 500,000 reviews up to October 2012. Reviews include product and user information, ratings, and a plain text review. The Aim of this case study was to predict the polarity of the reviews ie. positive/negative. I have applied various Machine Le…
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apresswala52/Amazon-Fine-Foods-Review-Analysis-and-Modelling
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The Amaon Fine Foods Review dataset consists of reviews of fine foods from Amazon. There are approximate 500,000 reviews up to October 2012. Reviews include product and user information, ratings, and a plain text review. The Aim of this case study was to predict the polarity of the reviews ie. positive/negative. I have applied various Machine Le…
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