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IdentityI Have Excellent Experience on Base/sas , Advance/sas, Sas/stat, Sas/report , Sas/graph and Predictive Modelling.
R Basic Including Conditional Statement , Loop , Array , Apply Family , Functions , Method, Mathematics , Data Manipulation (Dplyr , Tidyverse , Reshape2 , Doby Packages), Data Cleaning , Data Extraction , Data Visualization by Ggplot2 and Knowledge on All Other Packages Required in R.
Machine Learning Algorithms in R Like Linear Reg, Logsitic Reg, Decision Tree, Random Forest , Knn , Svm , K Means Clustering, Bayesian Analysis , Neural Network.
Strong Experience in Python : Basic Python , Mathematics , Numpy (Numeric Alg), Pandas (to Load Data),date Function
Data Cleaning : Outlier Treatment , Missing Value Imputation , Character Function Formatting .
Data Visualization : Seaborn , Matplotlib , Bookhe
Machine Learning Algorithms Using Scikit Learn Like Linear , Logistic , Time Series , Decision Tree, Random Forest , Svm , Knn , Cluster Analysis Etc.
Works on Different Ide Like Pycharm , Spyder .
Works on Jupyter Notebook as Well
