Tools used:
-Python (sklearn, matplotlib, pandas, numpy)
-R
-MySQL
Performed various Binary classifications on Bank Marketing dataset from Kaggle.com
Performed complete data analysis lifecycle:
-Data modeling
-Data loading in database
-Data Cleaning
-Data Preprocessing
-PCA
-Exploratory Data Analysis
-Feature extraction
-Classification models(Decision tree, SVM, k-NN, etc.)
-Tweaking parameters and comparing results.
-Evaluating accuracy, F-1, Precision, Recall.
Decision tree worked best with highest accuracy of 89%.