Holberton SchoolMachine Learning & Full Stack SW Eng.
Jan. 2019 - Dec. 2020San Francisco, California, United StatesHolberton school is a peer-learning, project-guided, full stack software engineering school in San Francisco. School Projects:
Reinforcement Learning
- MonteCarlo
- Temporal Difference
- SARSA
- Q-Learning
- Deep Q-Learning Unsupervised Learning
- Dimensionality Reduction
- Clustering
- HiddenMarkov Models
- Hyperparameter Tuning
- Autoencoders
- GANs Supervised Learning -Binary Classification
-Multiclass Classification
-Tensorflow
-Optimization
-Error Analysis
-Regularization
-Keras
-Convolutional Neural Networks (CNN)
-Deep CNN
-Transfer Learning
-Object Detection
-Face Verification
-Neural Style Transfer
-Recurrent Neural Networks (RNN)
-Time Series
-Word Embeddings
-NLP Metrics
-Attention C Programming Language, Linux Ubuntu 14.04:
- Implement multiple sorting algorithms (Heap, Merge, Quick)
- Build a replication of the printf() function
- Recreate a simple shell program in a Linux environment Python3:
- Test-driven full-stack Airbnb web application clone using NGINX as a web server and Gunicorn as the application server. (Technologies used: Python, Flask, HTML, CSS, jQuery, MySQL, Linux)
- MyVdo.tech - Web Application using Python, Django, OpenCV, and NLTK library. The application creates unique videos based on lyric songs and REST Public APIs with different images. Machine Learning Algorithms.
- Transfer Learning
- Clustering Techniques
- Computer Vision
- Natural Language Processing
- Serial sequences (LSTM, GRU)
- Reinforcement Learning