asagar06

ClassConnect.com

Collaborative-Filtering-For-Movie-Recommendation

CS205HealthAnalytics

In this project, we implemented an activity monitoring system for the classification of user activities such as Walking, Sitting, Standing, and Laying down which were captured using a smartwatch provided to us in the course. Various phases were involved in the fulfilment of this project ranging from data collection, data preprocessing, feature extraction, and model selection and testing.

Introduction-to-Graph-Networks

In this project, we study various random graph networks and their properties. Along with this, we implement random walks and PageRank on these networks.

quora-duplicate-question-pairs-detection

Determining whether two questions are asking the same thing can be challenging, as word choice and sentence structure can vary significantly. Traditional natural language processing techniques been found to have limited success in separating related question from duplicate questions. In this paper, we explore methods of determining semantic equivalence between pairs of questions using a dataset released by Quora. We explore different approaches involving using different classifiers with a rich feature set, a Siamese Neural Network which uses an LSTM, and an ensemble of the multiple approaches. Our ensemble model outperforms the classifier and Siamese models.

Reinforcement-Learning-and-Inverse-Reinforcement-Learning

In this project, we implement reinforcement learning concepts using the Value Iteration Algorithm to learn optimal policy. In the second part, we apply inverse reinforcement learning for apprenticeship learning.

Social-Network-Mining-Using-Facebook-and-Google-Data

In this project, we study various properties of social networks. In the first part of the project, we study an undirected social network (Facebook). In the second part of the project, we study a directed social network (Google +).

Twitter-Sentiment-Analysis-On-SuperBowl-Data

dqn-predator-prey-dynamics

Simulation of Predator Prey Dynamics using Deep Reinforcement Learning (CS 275: Artificial Life for Computer Graphics and Vision - Course Project)

Mumbai-Team-19

asagar06/quora-duplicate-question-pairs-detection

Determining whether two questions are asking the same thing can be challenging, as word choice and sentence structure can vary significantly. Traditional natural language processing techniques been found to have limited success in separating related question from duplicate questions. In this paper, we explore methods of determining semantic equivalence between pairs of questions using a dataset released by Quora. We explore different approaches involving using different classifiers with a rich feature set, a Siamese Neural Network which uses an LSTM, and an ensemble of the multiple approaches. Our ensemble model outperforms the classifier and Siamese models.

asagar06/CS205HealthAnalytics

In this project, we implemented an activity monitoring system for the classification of user activities such as Walking, Sitting, Standing, and Laying down which were captured using a smartwatch provided to us in the course. Various phases were involved in the fulfilment of this project ranging from data collection, data preprocessing, feature extraction, and model selection and testing.

asagar06/Introduction-to-Graph-Networks

In this project, we study various random graph networks and their properties. Along with this, we implement random walks and PageRank on these networks.

asagar06/Reinforcement-Learning-and-Inverse-Reinforcement-Learning

In this project, we implement reinforcement learning concepts using the Value Iteration Algorithm to learn optimal policy. In the second part, we apply inverse reinforcement learning for apprenticeship learning.

asagar06/ClassConnect.com

asagar06/Collaborative-Filtering-For-Movie-Recommendation

asagar06/Social-Network-Mining-Using-Facebook-and-Google-Data

In this project, we study various properties of social networks. In the first part of the project, we study an undirected social network (Facebook). In the second part of the project, we study a directed social network (Google +).

asagar06/Twitter-Sentiment-Analysis-On-SuperBowl-Data

asagar06/DeepRL-Agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

asagar06/hello-world

My first repository

asagar06/IMDb-Mining

We explore various properties of the IMDb dataset by systematically analyzing actor/actress, movie data by constructing networks helping uncover trends and other interesting information

asagar06/Network-Analysis-Using-Regression

asagar06/Stats202A-StatisticsProgramming

Assignments and Projects for Stats 202A

asagar06/Stock-Network-and-Uber-Network-Analysis

In this project, we apply graph theory theorems and algorithms on real world financial and uber network datasets.