Pinned Repositories
Air-France-Dataset-Analysis
CTR-Prediction
Click-through rate (CTR) is a very important metric for evaluating ad performance in online advertising. As a result, click prediction systems are essential and widely used for sponsored search and real-time bidding. In our dataset, we have provided 11 days’ worth of Avazu data to build and test prediction models.
HR-Analytics
In this paper, our main objective is to predict the satisfaction level of employees based on various parameters like number of projects the employee has worked in, the average number of hours per month that he works, salary etc. For this purpose, we have used linear regression.
MapReduce-Exercise
Predicting-Employee-Attrition-Rate
Built logistic regression model with 53 variables. Based on the multicollinearity and significance of the variables and after many iterations, final model was built with 10 variables with improved accuracy of 73%.
Recommender-System
An Event Recommendation engine to recommend events to users based on the events they attended previously
Social-Media-Analytics
Twitter sentiment analysis of President Donald J. Trump's new administration.
sushidhar.github.io
Portfolio for Sushidhar Jayaraman
Texas-Level-Operations-Management-Case-Competition-2017
The main goal of the competition would be to come up with the routes for transporting the machines to the construction site on time and at the most optimal cost.
Web_Scrapping_Python
Python Application to scrap website to extract data of Investors and Technology companies available in the web page
Sushidhar's Repositories
Sushidhar/CTR-Prediction
Click-through rate (CTR) is a very important metric for evaluating ad performance in online advertising. As a result, click prediction systems are essential and widely used for sponsored search and real-time bidding. In our dataset, we have provided 11 days’ worth of Avazu data to build and test prediction models.
Sushidhar/Web_Scrapping_Python
Python Application to scrap website to extract data of Investors and Technology companies available in the web page
Sushidhar/Air-France-Dataset-Analysis
Sushidhar/HR-Analytics
In this paper, our main objective is to predict the satisfaction level of employees based on various parameters like number of projects the employee has worked in, the average number of hours per month that he works, salary etc. For this purpose, we have used linear regression.
Sushidhar/MapReduce-Exercise
Sushidhar/Predicting-Employee-Attrition-Rate
Built logistic regression model with 53 variables. Based on the multicollinearity and significance of the variables and after many iterations, final model was built with 10 variables with improved accuracy of 73%.
Sushidhar/Recommender-System
An Event Recommendation engine to recommend events to users based on the events they attended previously
Sushidhar/Social-Media-Analytics
Twitter sentiment analysis of President Donald J. Trump's new administration.
Sushidhar/sushidhar.github.io
Portfolio for Sushidhar Jayaraman
Sushidhar/Texas-Level-Operations-Management-Case-Competition-2017
The main goal of the competition would be to come up with the routes for transporting the machines to the construction site on time and at the most optimal cost.
Sushidhar/Pokemon-Go-Analytics
Pokemon Go! became a very famous augmented reality (AR) game in 2016 summer. In this project, we want to understand the success of the mobile app game. Specifically, the purposes of this project are (1) to do web scraping using BeautifulSoup, (2) to construct a Pandas dataframe, (3) to explore/visualize the numeric data using matplotlib or seaborn, and finally (4) to use sklearn to build machine learning models to predict the app’s review counts. (5) analyze the app’s screenshot images using deep learning with tensorflow.
Sushidhar/Spark-Exercise
Sushidhar/Wells-Fargo-Mindsumo-Campus-Analytics-Challenge
Sushidhar/Wine-quality-Analysis
The goal of this project is to use the modeling methods to analyze a data set on the quality of white wines.