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Reverse-engineered TeX version of the Stony Brook doctoral defence announcement form ( https://grad.stonybrook.edu/_data/documents/forms/2020-forms/dda_ins.pdf ).
Textbausteine aus der Broschüre "Patientenverfügung"
Herausgeber: Bundesministerium der Justiz und für Verbraucherschutz
berücksichtigt die Vorgaben des BGH-Beschlusses (XII ZB 61/16) vom 06.07.2016
Textbausteine zur Broschüre "Patientenverfügung" im Word-Format (abgerufen am 04.10.2016)
The geological survey was carried out in Bisteutar and Jhyadi villages in the Bhimtar area. These villages lie at latitudes 27.709 N and 27.707 N and longitudes 85.670 E and 85.676 E. Bisteutar village can clearly be separated into two morphologies, the side facing Indrawati river has alluvial deposits whereas the one facing Jhyadi khola has slaty phyllites. Jhyadi village has slaty phyllites lying over low grade sandstone. Cracks 5-10 centimeters in width and 2-3 meters in depth were observed in both the villages thus implying high probability of possible landslides in the monsoon season.
Author: Surya Kiran Akkaladevi
Wright State University Thesis Report Format for Wright State Students.
Dedicated to my advisor Dr. Henry Chen and all student researchers of Wright State
This document contains the instructions for preparing a camera-ready manuscript for the proceedings of ACL-2015. The document itself conforms to its own specifications, and is therefore an example of what your manuscript should look like. These instructions should be used for both papers submitted for review and for final versions of accepted papers. Authors are asked to conform to all the directions reported in this document.
We have used the data-set on Zomato Restaurants which was available to public, and shared by an useron: "https://www.kaggle.com" .This, data-set contains restaurant’s ID,City,Country,Cuisines offered,Average Cost for two,Currency,Aggregate rating(in float data-type), Rating text(Excellent,Very Good,Good, Average, Poor, Not Rated) and some other relevant data. We have tried to visualize somebar graphs and other plots, and find some general trends to make a conclusion. Then we have usedKNN-regression method to make predictions and finally we have made conclusions.
Akshat Dubey, Anindya Sadhukhan
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