JESUS SANTANA's repositories
Machine-Learning-Intro-Duke-University
Repository with the tasks and demonstrations from Introduction to Machine Learning Course of the Duke University.
Data-Science-With-Python-IT-Academy
Learn how to extract value from data by ingesting, transforming, storing, analyzing, and visualizing data
Advanced-Machine-Learning
Familiarize ourselves with Pipelines, grid search and text mining
Full-Stack-Web-Development-Ironhack
Get the practical skills you need to become a full-stack developer
Machine-Learning-Stanford-University
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition
Registre_de_logs
Log Transformation with Regular Expressions
SkLearn-Train-Test
Scientific programming through the SKLearn / Scikitlearn library
SQL-Data-Analysis
Skyrocket your SQL skills by performing over 150 analysis tasks
SQL-Database
Create database with MySQL.
Supervised-Classification
Letβs practice and become familiar with classification algorithms.
Supervised-Regression
Practice and become familiar with regressions
TetrisConquest
Ironhack WDPT March '20 Project #1: The Game - Tetris Conquest
Web-Scraping
Learn how to do web scraping
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
docker-hadoop
Apache Hadoop docker image
DSND_Term2
Contains files related to content and project of DSND Term 2
IBM-Deep-Learning-Path
In this learning path, you will be able to learn the basic concepts of Deep Leaning and TensorFlow. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.
jupyter-text2code
A proof-of-concept jupyter extension which converts english queries into relevant python code
mljar-supervised
Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning :rocket:
NoSQL-Database
We are beginning to become familiar with NoSQL databases
Predict-Card-Fraud
Create a predictive algorithm (Machine Learning, NOT ANN) to predict if a transaction is fraud (class 1) or not (class 2).
Predict-Cardano-Price
Create a predictive algorithm (Machine Learning or Deep Learning) to predict the correct time to buy cardano and the correct time to sell. Once the predictive algorithm is done, it has to be used with the testing predictors dataset.
Predict-Client-Subscribtions
Create a predictive algorithm (Machine Learning, NOT ANN) to predict if a client will subscribe to a term deposit (variable y).
Predict-Particles-Velocity
Create a predictive Machine Learning (not ANN) algorithm to predict the relative velocity of the particles. The aim is to find the algorithm that minimizes the mean squared error (MSE).
traingenerator
π§ A web app to generate template code for machine learning
Unsupervised-Classification
Practice and become familiar with clustering algorithms