danielnzlz01/IPC-Services-and-Pinturas-SUQRO danielnzlz01/IPC-Services-and-Pinturas-SUQRO

  • Stars
    star
    1
  • Language
  • Created almost 2 years ago
  • Updated almost 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
danielnzlz01/IPC-Services-and-Pinturas-SUQRO
github

danielnzlz01

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Audit of a business with the use of ISO 27000 norm and identification of risks and DRP plan for cyber security.

More Repositories

1

Python-Code-that-Detects-SPAM

Python code that detects spam
1
star
2

Ternium

Machine learning and data science to detect and classify errors in production lines.
1
star
3

Final-project-oop-2nd-semester

Program that recommends tv shows or movies based on titles, ratings, years, duration
C++
1
star
4

Final-project-1st-semester-oop

Flight manager cpp project, with classes, and relations between objects
C++
1
star
5

Final-project-1st-semester-pyhton

Board game that consists of answering correct answers, games, etc. The first player to reach the end, wins.
Python
1
star
6

SIMA

Data analysis to identify correlations between contaminants and weather variables in Monterrey's air quality.
1
star
7

Final-project-projectiles-physics-1st-semester-

Physics matlab
MATLAB
1
star
8

Cengage

Linear programming and data science using Travelling Sales Man Problem (TSP) to optimize costs and time in personnel routes.
Jupyter Notebook
1
star
9

Final-project-molecular-biology-and-Rstudio

Analysis of covid19 variants
1
star
10

Final-Project-Linear-Algebra-PCA-Analysis

First view of how PCA analysis can help bring value to a business, reducing variables of the data and creating a visual representation using matrixes and eigenvalues
1
star
11

COVID-and-Diseases

Supervised and Non Supervised Agents using machine learning and data science to identify relations between certain diseases and predict COVID status.
1
star
12

Ruin-Probability-Model-for-an-Insurance-Company

Implementation of the Cramer-Lundberg approximation using Monte Carlo simulations and Laplace transforms to give a ruin probability in x time.
Jupyter Notebook
1
star