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