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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=20240702T132103Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240702/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=8e018d1cd2276a63b0b75b0a90994f2a43c73263923a0b9260ba5c59bdc6585b)
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=20240702T132103Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240702/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=0e056d21993b60a14afaf2dfe2067d151290f4a3ca807d1f76d00bf09665414a)
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=20240702T132103Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240702/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=bcf79af12b63c8c8e5a339c64169218f0b760b9c5490d219ddf5c9397d7cefc0)
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=20240702T132103Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240702/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=f82b2a7bbe58babf4f2e315abd369d2824f63981417d860d7be85577b445a5c4)
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=20240702T132103Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240702/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=87ea262a10a3a117b3ca3731a70f9909ee057075f0a682c2a124bc4a5bbafd96)
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=20240702T132103Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240702/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=37e1fdd49b0eb0e7ad33193d0b1e10706e451b102d803d8f609f57eb0d215893)
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=20240702T132103Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240702/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=98dd4b703f6cc6a96bbb12bd871f0b2767e0ca4a4f1a0b68eb3489f648294943)
ÁLGEBRA LINEAL
ÁLGEBRA LINEAL
AUSENCIO
![Engineering CV](https://writelatex.s3.amazonaws.com/published_ver/4912.jpeg?X-Amz-Expires=14400&X-Amz-Date=20240702T132103Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240702/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=ce40cd0b8505b350755c7afe71692fe3de7d00e85122b8bb62578e45d6eb235e)
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=20240702T132103Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAWJBOALPNFPV7PVH5/20240702/us-east-1/s3/aws4_request&X-Amz-SignedHeaders=host&X-Amz-Signature=771ec7dce71f65684bbc65271f3c2f69e1d022a8347620457b0563b8f9c565a8)
The Seven Fundamentals of Shooting
I still have to finish, but this is the outline.
Matthew Burns