salilvishnukapur Goto Github PK

commit_prediction_algorithm

Git commit prediction

datesheet_algorithm

Prepares datesheet

deeplearning_tensorflow_tutor

Get hands on training of Deep Learning using Tensorflow

demonitizationtweets

#Data Science Project# This will help in answering the following questions :- 1. Understand the Temporal Change - How frequent are the tweets – tweet frequency as a function of time 2. What are the commonly used words – how does their frequency change over the period of time 3. How influential the people are who tweet on the topic – how many replies/comments do their tweets get 4. How many of them are influential? 5. Understand the spatial change –how the sentiment was in different states in the country

google_code_jam_solutions

Solution of all the prvious year code jam problems

hdbscan

A high performance implementation of HDBSCAN clustering.

kagglekernels

machinelearning_tutor

This is a project for Machine Learning practitioners who want to learn to write the Deep Learning Algorithms using tensorflow.

machinelearning_workbook

This project for learning Machine Learning as per taught by Professor Thomas Trapenberg at DAL.

optimized-algorithms

This is project for the best solutions for each algorithm

predicting-transportation-modes-of-gps-trajectories

Understanding transportation mode from GPS (Global Positioning System) traces is an essential topic in the data mobility domain. In this paper, a framework is proposed to predict transportation modes. This framework follows a sequence of five steps: (i) data preparation, where GPS points are grouped in trajectory samples; (ii) point features generation; (iii) trajectory features extraction; (iv) noise removal; (v) normalization. We show that the extraction of the new point features: bearing rate, the rate of rate of change of the bearing rate and the global and local trajectory features, like medians and percentiles enables many classifiers to achieve high accuracy (96.5%) and f1 (96.3%) scores. We also show that the noise removal task affects the performance of all the models tested. Finally, the empirical tests where we compare this work against state-of-art transportation mode prediction strategies show that our framework is competitive and outperforms most of them.

robot_environmentexploration

salilvishnukapur.github.io

scala-tutor

This is a guide for developers of all level to use this as a one stop place for learning scala with examples

springboot

standard_sparkprograms

tensorflow

An Open Source Machine Learning Framework for Everyone

trajectorynet