Pinned Repositories
Akeed_Restaurant_Recommendation_Challenge
Build a recommendation engine to predict what restaurants customers are most likely to order from given the customer location, restaurant information, and the customer order history.
Amazon-apparel-Image-Classification-and-Product-Recommendation
Classify Amazon apparel products and make recommendations based on images, title and brand information.
bigdataclass
Two-day workshop that covers how to use R to interact databases and Spark
Credit-card-fraud
Compare different classification models to predict the accuracy of identifying credit card transactions as normal or fraud
Dimension-reduction-and-clustering
The objective of the project is to predict house sale price using Dimension reduction and Clustering.
Flights-delay-prediction
Analyzing flights and airline data and predicting flights delay
Predict-Accident-Severity
The aim of the project is to predict the severity of an accident due to various features like road conditions, geographic location, weather conditions and type of vehicles. The prediction is achieved using three models- Naive Bayes, Suport Vector Machine and Neural Network and the three models are compared based on the accuracy score.
RDBMS--Airbnb
The aim of the project is to build a relational database management system for Airbnb. By making a good schema and design of the database we can search, retrieve and analyze data to gather insights which would be extremely helpful in answering relevant questions like what is the occupancy rate of a listing Or what is the income per month of each listing Or evaluate discrete time slots available for a property or find a super host based on some eligibility criteria
Stores-data-project
Predicted the store level- Global, Division , Department at which the Mean Absolute Percent error is the least for the lift obtained through promotional and baseline sales.
UCI-Heart-Disease
Performed exploratory,descriptive and predictive data analysis on a heart disease data set from Cleveland Clinic Foundation to predict heart diseases. Curated the data and found insights through data visualization and regression model techniques in Python.
divyar2630's Repositories
divyar2630/Amazon-apparel-Image-Classification-and-Product-Recommendation
Classify Amazon apparel products and make recommendations based on images, title and brand information.
divyar2630/Predict-Accident-Severity
The aim of the project is to predict the severity of an accident due to various features like road conditions, geographic location, weather conditions and type of vehicles. The prediction is achieved using three models- Naive Bayes, Suport Vector Machine and Neural Network and the three models are compared based on the accuracy score.
divyar2630/RDBMS--Airbnb
The aim of the project is to build a relational database management system for Airbnb. By making a good schema and design of the database we can search, retrieve and analyze data to gather insights which would be extremely helpful in answering relevant questions like what is the occupancy rate of a listing Or what is the income per month of each listing Or evaluate discrete time slots available for a property or find a super host based on some eligibility criteria
divyar2630/Credit-card-fraud
Compare different classification models to predict the accuracy of identifying credit card transactions as normal or fraud
divyar2630/Akeed_Restaurant_Recommendation_Challenge
Build a recommendation engine to predict what restaurants customers are most likely to order from given the customer location, restaurant information, and the customer order history.
divyar2630/bigdataclass
Two-day workshop that covers how to use R to interact databases and Spark
divyar2630/Dimension-reduction-and-clustering
The objective of the project is to predict house sale price using Dimension reduction and Clustering.
divyar2630/Flights-delay-prediction
Analyzing flights and airline data and predicting flights delay
divyar2630/Stores-data-project
Predicted the store level- Global, Division , Department at which the Mean Absolute Percent error is the least for the lift obtained through promotional and baseline sales.
divyar2630/UCI-Heart-Disease
Performed exploratory,descriptive and predictive data analysis on a heart disease data set from Cleveland Clinic Foundation to predict heart diseases. Curated the data and found insights through data visualization and regression model techniques in Python.
divyar2630/Change-Point-Detection
divyar2630/dash-sample-apps
Open-source demos hosted on Dash Gallery
divyar2630/divyar2630.github.io
divyar2630/Fidelity-Investments
The objective of the project was to redesign Fidelity's website homepage to make it more attractive and engaging to millennials
divyar2630/Practice_problems
divyar2630/Tableau-creations
This repository contains the link to my tableau public profile.
divyar2630/Validation-methods
Compare the performance of different validation techniques using MSE from LASSO regression .