-An international e-commerce company based in the USA wants to discover key insights from their customer database. They want to use some of the most advanced machine learning techniques to study their customers. The company sells electronic products. -The dataset used for model building contained 10999 observations of 12 variables. -The project is divided into 4 problem statements. Each of the problem is unique. -Used Python programming language to solve the problem statements.
Statement:- -Use classification algorithm which is Logistics Regression,SVM,Random Forest,XGBoost and compare the accuracy of each model whos give high accuracy. -Use Advanced data visualization using ggplot2. -Use customer segentation using K-means Clustering. -Twitter sentiment analysis of AmazonIndian,Flipkart and Snapdeal using Twitter API.
Tools:-Jupyter Notebook(Anaconda Navigator) Programming Language-Python