simran2097
A Graduate Student at Northeastern University who aspires to become a data enthusiast!
Boston, USA
Pinned Repositories
AMAZON_FINE_FOOD_REVIEWS
Amazon Fine Food Reviews Analysis Data Source: https://www.kaggle.com/snap/amazon-fine-food-reviews EDA: https://nycdatascience.com/blog/student-works/amazon-fine-foods-visualization/ The Amazon Fine Food Reviews dataset consists of reviews of fine foods from Amazon. Number of reviews: 568,454 Number of users: 256,059 Number of products: 74,258 Timespan: Oct 1999 - Oct 2012 Number of Attributes/Columns in data: 10 Attribute Information: Id ProductId - unique identifier for the product UserId - unqiue identifier for the user ProfileName HelpfulnessNumerator - number of users who found the review helpful HelpfulnessDenominator - number of users who indicated whether they found the review helpful or not Score - rating between 1 and 5 Time - timestamp for the review Summary - brief summary of the review Text - text of the review Objective: Given a review, 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.
Chicago-Food-Inspection-Data-Analysis
Desigining Advanced Data Architectures for Business Intelligence.
Crop-and-Fertilizer-Recommandation-System-using-FLASK
Advances Data Science
Dallas-Food-Inspection
Desigining Advanced Data Architectures for Business Intelligence.
DEEP_LEARNING
E.D.A-ON-HABERMENS_CANCER_DATASET
Facebook_Friend_Recommendation_using_graph_mining
Human-activity-recognition
London-Bike-Rides-Analysis
Tableau Dashboard
Microsoft-malware-Detection
simran2097's Repositories
simran2097/AMAZON_FINE_FOOD_REVIEWS
Amazon Fine Food Reviews Analysis Data Source: https://www.kaggle.com/snap/amazon-fine-food-reviews EDA: https://nycdatascience.com/blog/student-works/amazon-fine-foods-visualization/ The Amazon Fine Food Reviews dataset consists of reviews of fine foods from Amazon. Number of reviews: 568,454 Number of users: 256,059 Number of products: 74,258 Timespan: Oct 1999 - Oct 2012 Number of Attributes/Columns in data: 10 Attribute Information: Id ProductId - unique identifier for the product UserId - unqiue identifier for the user ProfileName HelpfulnessNumerator - number of users who found the review helpful HelpfulnessDenominator - number of users who indicated whether they found the review helpful or not Score - rating between 1 and 5 Time - timestamp for the review Summary - brief summary of the review Text - text of the review Objective: Given a review, 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.
simran2097/Chicago-Food-Inspection-Data-Analysis
Desigining Advanced Data Architectures for Business Intelligence.
simran2097/Crop-and-Fertilizer-Recommandation-System-using-FLASK
Advances Data Science
simran2097/Dallas-Food-Inspection
Desigining Advanced Data Architectures for Business Intelligence.
simran2097/DEEP_LEARNING
simran2097/E.D.A-ON-HABERMENS_CANCER_DATASET
simran2097/Facebook_Friend_Recommendation_using_graph_mining
simran2097/Human-activity-recognition
simran2097/London-Bike-Rides-Analysis
Tableau Dashboard
simran2097/Microsoft-malware-Detection
simran2097/Netflix-Movie-Recommendation
simran2097/New_York_Taxi_Demand_Prediction
simran2097/NYC-Food-Inspection
Desigining Advanced Data Architectures for Business Intelligence.
simran2097/Personalized_Cancer_Diagnosis
simran2097/Quora-Questions-Classification-NLP
Advances Data Science
simran2097/Research-Paper-Miner
simran2097/Sentiment-Analysis-on-hotel-reviews
simran2097/ServiceNow-Stock-Prediction
Machine Learning & Python in Finance
simran2097/simran2097
simran2097/Stack_Overflow_tag_Prediction
simran2097/Twitter_Sentiment_Analysis
simran2097/Wheat-disease-detection