Position: Machine Learning Engineer
Category: Data Science
English level: pre
Years of experience: 1

python, numpy, pandas, docker
seaborn, scikit-learn, matplotlib
xgboost, logistic, linear, SVM
understanding of the basic machine learning algorithms, the process of working and training neural networks, preparing and cleaning data. knowledge of optimization and parameter tuning. Understanding of mathematics and calculus.
# Machine Learning (Coursera, Stanford)
# Specialization Deep Learning (Coursera)
 -- Neural Networks and Deep Learning
 -- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
 -- Structuring Machine Learning Projects
 -- Convolutional Neural Networks (in process)
# Exploratory Data Analysis for Machine Learning (Coursera, IBM)