Machine Learning
With knowledge in AI, data analytics, data science, python, Machine Learning, Deep learning, uncertainty in organizations, computer vision, SQL, Big Data, etc.
In addition to my university studies, I have developed quite a few high-level courses, several Coursera specializations, as well as different courses on Udemy.
To have a look to some of the project I am working now, please follow the next button. Be aware that this projects are in construction.
Knowledge:
- PyCharm, Jupyter Notebook, Google Colab
- Python Scripting and Automation
- Web Scraping
- Beautiful Soup
- Selenium Web Driver
- Request
- WTForms
- Data Science
- Pandas
- NumPy
- Matplotlib
- Scikit learn
- Seaborn
- Python GUI Desktop App Development
- Front-End Web Development
- HTML 5
- CSS 3
- Bootstrap 4/5
- Bash Command Line
- Backend Web Development
- Flask
- Django
- REST
- APIs
- Authentication
- Web Design
- PythonAnywhere
- Heroku
- Linear Regression
- Regularization
- Lasso Regression
- Ridge Regression
- Elastic Net
- K Nearest Neighbors
- K Means Clustering
- Decision Trees
- Random Forests
- Natural Language Processing
- Support Vector Machines
- Hierarchal Clustering
- DBSCAN
- PCA
- Model Deployment
- Neural Network Basics
- TensorFlow Basics
- Keras Syntax Basics
- Artificial Neural Networks
- Densely Connected Networks
- Convolutional Neural Networks
- Recurrent Neural Networks
- AutoEncoders
- GANs – Generative Adversarial Networks
- Deploying TensorFlow into Production
BASICS OF SQL
- PostgreSQL y PgAdmin.
- SQLite
- Queries a una basedatos con SQL
- Data análisis con SQL
- GROUP BY statements
- SQL Filtering / WHERE Statement
- SQL JOINS
- Date Filtering y Timestamps
- SQL Aggregate Functions
- Flutter
- Github Actions
- React