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![Taller de Brito Eje 32-48](https://writelatex.s3.amazonaws.com/published_ver/9898.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240702T131741Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240702/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=17100a425865be7f7e113123a802fb8ab8313921ffb67f13bd571bd33f844f1a)
Taller de Brito Eje 32-48
Ejercicios
Jeremy
![Naive Bayes Classifier](https://writelatex.s3.amazonaws.com/published_ver/9912.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240702T131741Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240702/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=e18362296f1b531f90529ec9e07be2b740db5a5ae9a95f22e100e6c9ad77949c)
Naive Bayes Classifier
With the massive popularity of Bayes' Theorem as well as the default use of Gaussian/Normal distributions for common data sets, we were keen to better understand firstly, if the assumption to use the Normal distrubition on differing data sets was a fit or not, and secondly, how to take the Normal distribution and Bayes' Theorem and apply it in use via repeatable code.
Hai Nguyen (Seward)
![My CV](https://writelatex.s3.amazonaws.com/published_ver/2458.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240702T131741Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240702/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=fbbfea87036cf6d83289b6c7a8aa60681b3c81d9da82ea6955a702796874d21c)
My CV
Alok Shankar's CV
Alok Shankar
![Dissertation HTML BIG](https://writelatex.s3.amazonaws.com/published_ver/5236.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240702T131741Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240702/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=f8f75529dcd47cc2a32732646be9eee6ca02723dcc390b7265d5e62eca480bdd)
Dissertation HTML BIG
Excerpt from main dissertation
Michelle Baltazar
![Aryan Sharma's CV](https://writelatex.s3.amazonaws.com/published_ver/9307.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240702T131741Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240702/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=7d88ac009357081f2b4077f0dfeb23f3abed65f51c1200a73bb7750a36e74741)
Aryan Sharma's CV
Resume created with the Deedy Résumé template
Aryan Sharma
![Sketch Model Challenge Report](https://writelatex.s3.amazonaws.com/published_ver/9279.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240702T131741Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240702/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=cb841ee1e303305d728440309393c1c213f7f0975699cfdb1fde767c6c53c249)
Sketch Model Challenge Report
Design process of capstone senior "Sketch Model Challenge" project.
Shagufta Naaz, Vincent Mei, Hong Wei Tan, Saksham Malik, Dylan Sokal, Alexander O'Claire
![ÁLGEBRA LINEAL](https://writelatex.s3.amazonaws.com/published_ver/9260.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240702T131741Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240702/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=7555aadfd5dd8048d6cdd025b334b8738cbc645d9bb2ce88024a6fa75be83d79)
ÁLGEBRA LINEAL
ÁLGEBRA LINEAL
AUSENCIO
![Engineering CV](https://writelatex.s3.amazonaws.com/published_ver/4912.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240702T131741Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240702/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=8561b677a970895223082e2238e50375e44234242abaedff2742d0983d45d178)
Engineering CV
Khizar Bhullar's CV
khizar bhullar
![The Seven Fundamentals of Shooting](https://writelatex.s3.amazonaws.com/published_ver/5598.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240702T131741Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240702/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=70f34b9fce4be83141b135ebc6c8334745485c2deccc6d98d59b4d149c1d5b7e)
The Seven Fundamentals of Shooting
I still have to finish, but this is the outline.
Matthew Burns