Nicolas Diaz-Durana's Projects
We cover some of the the most important concepts of algebraic topology in order to explore how deep neural networks operate in their hidden layers and why they are so amazingly efficient
This code trains a neural network model to classify images of clothing using tf.keras
Quiz 1 - Getting and Cleaning Data | Coursera
Análisis de base de datos sobre los colombianos registrados en el exterior
El popular juego de cartas "Concéntrese" (Memory en inglés) en Java.
A non-comprehensive data analysis of a data set as part of a hiring process. Developed entirely in Python, using pandas, seaborn and matplotlib as the main tools.
Exploratory data analysis of a Kaggle dataset using Pandas, Numpy and Seaborn
This project trains a Long Short Term Memory (LSTM) network to detect and classify fake news.
The Fast Fourier Transform With One Application In Audio Correction
The algorithm k-nearest-neighbor with an anonymous data set, in Python.
The relationship between the schooling level and life expectancy around the world: an exploratory model using linear regression in Python
This project trains a Long Short Term Memory (LSTM) network to detect and classify a text written in English according to a particular variant: whether it is British or American.
Manual de pruebas de hipótesis en R
We create a function that takes the data from the csv file and prints the five classifications with a list of the x most repeated words for each classification.
Tag prediction on Stack Overflow using TensorFlow Keras and Text Vectorization
Config files for my GitHub profile.
Consideremos una población de humanos y una población de pulgas infectada con la bacteria causante de la peste bubónica. Al igual que en el modelo de Lotka-Volterra, la población de humanos aumenta a menos de que entren en contacto con las pulgas y la población de pulgas disminuye a menos de que haya interacción con humanos. Además, supongamos que la probabilidad de contagio de la bacteria aumenta en función de la proporción de flagelantes en el grupo poblacional afectado
Proyección de crecimiento poblacional en Colombia con base en cifras del DANE. Usamos interpolación cúbica y un ajuste de curva polinomial de grado 5.
We create a function that cleans, processes and transforms the data of a csv file into a friendlier dataframe, and writes it into a new csv file.
Nicolas Diaz's Repository for Programming Assignment 2 for R Programming on Coursera: Lexical Scoping
Análisis estadístico Pruebas Saber 11 Calendario A (Colombia)
We use the Breast Cancer Wisconsin Diagnostic Data Set to train and test the model that classifies whether a tumor with certain characteristics is a malignant or a benign tumor.
The Schrodinger equation and other cool physics concepts explained.
Using the method of separation of variables, we will solve a problem describing the vertical movement of a string.
Basic SQL syntax
This notebook identifies the most common words in five large datasets covering the following themes: data engineering, data analytics, data science, software engineering and business analytics, as well as the most common words for the five joined datasets as a whole.
The tent map has similar properties to the logistic map: it is continuous and has a non periodic behavior. It falls in the category of the non linear discrete dynamical systems, although its graphic is made from two straight lines. This allows its analysis to be simpler that that of other dynamical systems. This said, the systems can have a very complex behavior, even chaotic. Plus, its Lyapunov exponent is positive.
Time series decomposition using pandas-datareader and dtw
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