Hi. My Skills:
1. Programming in R:
- Machine learning (caret, mlr, e1071, forecast, Keras, h20)
- Importing & Cleaning Data (tydir)
- Data Manipulation (data.table, dplyr, reshape2)
- Data Visualization (ggplot, plotly, shiny)
- Probability & Statistics (reshape, MASS)
- Machine learning (random forest, decision tree, logistic reggresion, neural networks, PCA, genetic algorithm, k-means, deep learning, Support Vector Machines, naive bayes, liner regression, factor analysis).
- Applied Finance (package "quantmod", "PerformanceAnalytics", "quantstrat", "fPortfolio")
- Spark (sparklyr)
2. Programming in Python:
- keras, torch, scikit-learn, pandas, matplotlib, seaborn, numpy
- Deep learning: ANN, CNN, RNN, SOM, Boltzmann Machine Intuition, AutoEncoders Intuition, Regression & Classification Intuition
- Genetic Algortithm in tpot library
- Artificial Intelligence: Q-Learning Intuition, Deep Q-Learning Intuition, Deep Convolutional Q-Learning Intuition, A3C Intuition.