jesussantana
π¨βπ¬ ππππ πππ’ππ§ππ’π¬π & πππ―ππ₯π¨π©ππ« π¨βπ» <πΌπ₯π₯π¨, ππ€ππππ‘πππ‘π‘ππ£π, πΏππ©ππππππ£ππ/>
es Marketing DigitalBarcelona
Pinned Repositories
Advanced-Machine-Learning
Familiarize ourselves with Pipelines, grid search and text mining
AWS-Machine-Learning-Foundations
AWS Machine Learning Engineer Scholarship Program
Data-Science-With-Python-IT-Academy
Learn how to extract value from data by ingesting, transforming, storing, analyzing, and visualizing data
DeepLearning.AI-Introduction-to-Machine-Learning-in-Production
In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype the process for developing, deploying, and continuously improving a productionized ML application.
Full-Stack-Web-Development-Ironhack
Get the practical skills you need to become a full-stack developer
IBM-Data-Analysis-with-Python-DA0101EN
This course will take you from the basics of Python to exploring many different types of data.
IBM-Skills-Courses
IBM Data Science, Machine Learning & Deep Learning Courses to Increase your Skills Development
Machine-Learning-Intro-Duke-University
Repository with the tasks and demonstrations from Introduction to Machine Learning Course of the Duke University.
Machine-Learning-Stanford-University
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition
Modern-Artificial-Intelligence
Projects that Unleash the Power of AI to Solve Real-World Business Challenges
jesussantana's Repositories
jesussantana/Machine-Learning-Intro-Duke-University
Repository with the tasks and demonstrations from Introduction to Machine Learning Course of the Duke University.
jesussantana/Advanced-Machine-Learning
Familiarize ourselves with Pipelines, grid search and text mining
jesussantana/Full-Stack-Web-Development-Ironhack
Get the practical skills you need to become a full-stack developer
jesussantana/Machine-Learning-Stanford-University
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition
jesussantana/Registre_de_logs
Log Transformation with Regular Expressions
jesussantana/SkLearn-Train-Test
Scientific programming through the SKLearn / Scikitlearn library
jesussantana/SQL-Data-Analysis
Skyrocket your SQL skills by performing over 150 analysis tasks
jesussantana/SQL-Database
Create database with MySQL.
jesussantana/Supervised-Classification
Letβs practice and become familiar with classification algorithms.
jesussantana/Supervised-Regression
Practice and become familiar with regressions
jesussantana/TetrisConquest
Ironhack WDPT March '20 Project #1: The Game - Tetris Conquest
jesussantana/Web-Scraping
Learn how to do web scraping
jesussantana/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
jesussantana/Database
Create a relational model and entity-relationship diagram.
jesussantana/docker-hadoop
Apache Hadoop docker image
jesussantana/DSND_Term2
Contains files related to content and project of DSND Term 2
jesussantana/flowpy
manipulate pandas dataframes from the comfort of your browser
jesussantana/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.
jesussantana/jupyter-text2code
A proof-of-concept jupyter extension which converts english queries into relevant python code
jesussantana/Kibana
We are beginning to become familiar with the interactive display of graphics using Kibana
jesussantana/machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
jesussantana/mljar-supervised
Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning :rocket:
jesussantana/NoSQL-Database
We are beginning to become familiar with NoSQL databases
jesussantana/Predict-Card-Fraud
Create a predictive algorithm (Machine Learning, NOT ANN) to predict if a transaction is fraud (class 1) or not (class 2).
jesussantana/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.
jesussantana/Predict-Client-Subscribtions
Create a predictive algorithm (Machine Learning, NOT ANN) to predict if a client will subscribe to a term deposit (variable y).
jesussantana/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).
jesussantana/pyforest
pyforest - feel the bliss of automated imports
jesussantana/traingenerator
π§ A web app to generate template code for machine learning
jesussantana/Unsupervised-Classification
Practice and become familiar with clustering algorithms