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![IV054 Homework Template](https://writelatex.s3.amazonaws.com/published_ver/10751.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240704T151145Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240704/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=99e3af801835388989ca03dcbed14224fdfe08363a1cd6978b2b9a0e09af47ee)
IV054 Homework Template
Template for homework in course IV054 Coding, Cryptography and Cryptographic protocols at Faculty of Informatics, Masaryk University
Matej Pivoluska
![Types of Database](https://writelatex.s3.amazonaws.com/published_ver/10747.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240704T151145Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240704/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=cbf18f0197fdc6ecbeccf416bf14275a174469f3837c1eab3b3c9aacc2106ca7)
Types of Database
Importance of the database in our social science.
Mahbub Alam
![IUST Project report template (English)](https://writelatex.s3.amazonaws.com/published_ver/10720.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240704T151145Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240704/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=b1632c01e156227a2b3ebdc450735c63652ecb40a742dd2fa59ea6887a3e788b)
IUST Project report template (English)
Template for the course project report,
Deep learning (Spring 2019) at Iran University of science and technology.
Amirhosein Kazemnejad
![Ankara University Thesis Template](https://writelatex.s3.amazonaws.com/published_ver/10704.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240704T151145Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240704/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=2ba4cde9309e25f98839a307828085b8c18cc4fed147f9ceeb7c4707e70ac1c2)
Ankara University Thesis Template
Ankara University Department of Mathematics
ÖZALP
![Studying the average cost for two at restaurants associated with Zomato](https://writelatex.s3.amazonaws.com/published_ver/10633.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240704T151145Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240704/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=508f0a4af6b34461b10a30c1351441af57c10f44a127e5ecad73fed7e38a10a9)
Studying the average cost for two at restaurants associated with Zomato
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
![AMSTERDAM-AIRBNB PRICE PREDICTION](https://writelatex.s3.amazonaws.com/published_ver/10655.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240704T151145Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240704/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=5d3a46cc6d78c3c3d2aca51fefa085fdfeb61122b923618c59358b4e7bd57a29)
AMSTERDAM-AIRBNB PRICE PREDICTION
This project is about prediction of pricing of rentals in Amsterdam airbnb using KNN regression.
Namrata Paul and Soumyajit Behera
![PREDICTING THE PURCHASE DONE ON BLACK FRIDAY](https://writelatex.s3.amazonaws.com/published_ver/10656.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240704T151145Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240704/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=12aa000b144ac79cac125b26b6eeabff88ba9f23400524a90ea87de52e64ac00)
PREDICTING THE PURCHASE DONE ON BLACK FRIDAY
Making predictions is something a business or system depends on, which is indirectly dependant on data analytics. Data analytics is the science of analyzing raw data in order to make conclusions about that information.This analysis can then be used to optimize processes to increase the overall efficiency of a business or system. The dataset here, that we have obtained from Kaggle, is a sample of the transactions made in a retail store on Black Friday. The store wants to know better the customer purchase behaviour against different products.
Rahul Kumar Patro & Sudakshina Bhattacharjee
![Taxi Fare Prediction](https://writelatex.s3.amazonaws.com/published_ver/10693.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240704T151145Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240704/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=50f2f8b45f10f546213a3479ff3fc0abfaecd55cd1311d12a669c73137d0dc50)
Taxi Fare Prediction
taxi fare prediction
nisha rani, monalisha ojha
![Factor Analysis Derivation](https://writelatex.s3.amazonaws.com/published_ver/10557.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240704T151145Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240704/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=1eeb2daf917ee7dcf13c88fa470e0eca9da29891e3e7408bebc51e1d34eaba4a)
Factor Analysis Derivation
Just another Factor Analysis derivation. Refer to Stanford Lecture Notes CS229.
Daniel Kurniadi