amazing-feature-engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

analisis_manipulacion_datos_r

Fuente: Análisis y manipulación de datos en r 2020

bootcamp_r

byutextbook

Plantilla LaTeX

c2-2-unsupervisedml

2024 | UNI | Maestría en Data Science | Ciclo II | Unsupervised Machine Learning

c2-3-forecasting

2024 | UNI | Maestría en Data Science | Ciclo II | Forecasting

c2-5-advancedsupervisedml

2024 | UNI | Maestría en Data Science | Ciclo II | Advanced Supervised Machine Learning

c2-7-neuralnetworks_deeplearning

2024 | UNI | Maestría en Data Science | Ciclo II | Neural Networks and Deep Learning

c2-8-plantesis

2024 | UNI | Maestría en Data Science | Ciclo II | Plan de Tesis

course-materials

Slides de acompañamiento para el curso de Stata Avanzado

curso_ciencia_de_datos

This is the repository of the course Data Science with Python at UNAM, with the lecturer Arrigo Coen and the TA Miriam Colín

da_case_studies

Codes for case studies for the Bekes-Kezdi Data Analysis textbook

data_analyst_with_r

DataCamp - Career track: data analyst with R

datadiag

Python package that diagnoses common issues for pandas DataFrame datasets.

dhs-indicators-stata

Stata code to produce Demographic and Health Survey Indicators

dime-github-trainings

Training materials and other GitHub related information developed by DIME Analytics

dime-latex-templates

DIME's LaTeX templates and LaTeX exercises teaching anyone new to LaTeX how to use LaTeX and how to use DIME's templates

dime-r-training

Dime Analytics R Training

eda

Exploratory Data Analysis

ejemplo_elaboracion_reporte_word

Stata - Dofile: ejemplo de elaboración de reporte en Word.

escuela_global_talk

feature_engine

Feature engineering package with sklearn like functionality

funpymodeling

A package to help data scientist in Exploratory Data Analysis and Data Preparation for ML models

ggplot2

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

handson-unsupervised-learning

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

imbalanced-class

Clasificación desbalanceada con Python: modificando datos y algoritmos - Raquel Pezoa

kevinperezgarcia

latex_course

Todos los contenidos del curso de introducción a LaTeX, plantillas, ejemplos, ejercicios, lecturas recomendadas, presentaciones, etc.

mineriatextos