Client portfolio
Client Portfolio in 2012. He showed tremendous growth
Mi perfil
Hi. My Skills: 1. Programming in R: - Machine learning (caret, mlr, e1071, forecast, Keras, h20) - Importing & Cleaning Data (tydir) - Data Manipulation ([login to view URL], 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.