A little of Data-Science, Machine Learning and Analysis ;)

In recent years, Machine Learning and Data Science have been my passions.

My idea with this repository is to be able to expose a little of my studies and experience with ML and General Data-driven Approaches.

If you are a recruiter interested in my skills, check my LinkedIn profile:: https://www.linkedin.com/in/barreto-davi/

Summary:

General Statistics:

Probabilistical Approach to Data Prediction

Linear Statistics:

Linear Regression Fundamentals
Models and Prediction

Optimization for Machine Learning:

Line Search and Gradient Methods
SVM

Learning Methods:

K-Nearest-Neighbors
Perceptron

First Approach with Keras:

Single and Multiple Layers Perceptron.

Data Analysis:

Analysis of Traffic in Sao Paulo - Brazil.
- Parallel Processing (Dask)
- SQL
- Visual Charts and Data Analysis

Natural Language Processing

Word2Vector
- Word2Vector Model created from Twitter Reviews Data
- Google Word2Vector
- Stanford Word2Vector
Word Vector Embedding
Sentiments Recognition with SLP and Random Forest

Image Processing

Docker
CVAT
YOLOv3
OpenCV