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amazon_fashion_recommendation

A recommendation system which suggests similar products (apparel) to the given product (apparel) in any e-commerce websites.

amazon_fine_food

Analysis, applying classification and clustering algorithms on amazon fine food reviews data set

botbuilder-samples

Welcome to the Bot Framework samples repository. Here you will find task-focused samples in C#, JavaScript and TypeScript to help you get started with the Bot Framework SDK!

clustering-amazon-fine-food-reviews

clustering amazon fine food reviews

cnn-on-mnist

Trying different cnn models with different ac

darknet

Convolutional Neural Networks

decision_trees-on-amazon_fine_food_reviews

Given a review, Using a decision tree model determine whether the review is positive (rating of 4 or 5) or negative (rating of 1 or 2). [Q] How to determine if a review is positive or negative? [Ans] We could use Score/Rating. A rating of 4 or 5 can be cosnidered as a positive review. A rating of 1 or 2 can be considered as negative one. A review of rating 3 is considered nuetral and such reviews are ignored from our analysis. This is an approximate and proxy way of determining the polarity (positivity/negativity) of a review.

eda_on_haberman

Exploratory data analysis on haberman data

knn-on-amazon-fine-food-reviews

Given a review, Using Knn model determine whether the review is positive (rating of 4 or 5) or negative (rating of 1 or 2). [Q] How to determine if a review is positive or negative? [Ans] We could use Score/Rating. A rating of 4 or 5 can be cosnidered as a positive review. A rating of 1 or 2 can be considered as negative one. A review of rating 3 is considered nuetral and such reviews are ignored from our analysis. This is an approximate and proxy way of determining the polarity (positivity/negativity) of a review.

logistic_regression-on-amazon_fine_food_reviews_analysis

Given a review, Using Logistic Regression model determine whether the review is positive (rating of 4 or 5) or negative (rating of 1 or 2). [Q] How to determine if a review is positive or negative? [Ans] We could use Score/Rating. A rating of 4 or 5 can be cosnidered as a positive review. A rating of 1 or 2 can be considered as negative one. A review of rating 3 is considered nuetral and such reviews are ignored from our analysis. This is an approximate and proxy way of determining the polarity (positivity/negativity) of a review.

lstm-on-amazon-fine-food-reviews

Given a review, determine whether the review is positive (rating of 4 or 5) or negative (rating of 1 or 2). <br> [Q] How to determine if a review is positive or negative?<br> <br> [Ans] We could use Score/Rating. A rating of 4 or 5 can be cosnidered as a positive review. A rating of 1 or 2 can be considered as negative one. A review of rating 3 is considered nuetral and such reviews are ignored from our analysis. This is an approximate and proxy way of determining the polarity (positivity/negativity) of a review.

mlp-on-mnist

Try different mlp models with different hyper parameters

naive_bayes-on-amazon-fine-food-reviews

Given a review, Using Naive bayes model determine whether the review is positive (rating of 4 or 5) or negative (rating of 1 or 2). [Q] How to determine if a review is positive or negative? [Ans] We could use Score/Rating. A rating of 4 or 5 can be considered as a positive review. A rating of 1 or 2 can be considered as negative one. A review of rating 3 is considered nuetral and such reviews are ignored from our analysis. This is an approximate and proxy way of determining the polarity (positivity/negativity) of a review.

neural-networks

quora-question-pair-solution-

My solution to Quora Question Pair kaggle contest using random forest and gbdt model

random-forest-and-gbdt-on-amazon-fine-food-review

Given a review, Using Random forest and Gbdt models determine whether the review is positive (rating of 4 or 5) or negative (rating of 1 or 2). [Q] How to determine if a review is positive or negative? [Ans] We could use Score/Rating. A rating of 4 or 5 can be cosnidered as a positive review. A rating of 1 or 2 can be considered as negative one. A review of rating 3 is considered nuetral and such reviews are ignored from our analysis. This is an approximate and proxy way of determining the polarity (positivity/negativity) of a review.

servoarduino1

Arduino program to control control a servo motor ,which there by can be used for precise movements in robots and other applications

support_vector_machines-on-amazon_fine_food_reviews

Given a review, Using Svm model determine whether the review is positive (rating of 4 or 5) or negative (rating of 1 or 2). [Q] How to determine if a review is positive or negative? [Ans] We could use Score/Rating. A rating of 4 or 5 can be cosnidered as a positive review. A rating of 1 or 2 can be considered as negative one. A review of rating 3 is considered nuetral and such reviews are ignored from our analysis. This is an approximate and proxy way of determining the polarity (positivity/negativity) of a review.

tsne-analysis-on-amazon-fine-food-reviews

Performe Tsne Analysis on the various featurization of the text data (amazon fine food reviews) which representation can better differentiate positive from negative.