· Machine Learning: Regression (Linear, Multiple, Polynomial Regression) Classification (Binary, Multinomial, Ordinal,K-NN, Naive Bayes) SVM, Decision trees, Random Forest, Cluster Analysis (K-Means, Hierarchical)Apriori,Eclat,NLP,Deep Learning (Using Neural Network),Time Series Analysis.
· Analytical Skills: Python ML, Excel
· ETL Tools/Database: SQL/PostgreSQL
· Visualization: Tableau