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Customer segmentation by Clustering techniques and Predicting the Insurance claim status by using Classification ML models
This project involves the implementation of Market Basket Analysis, a powerful technique in retail analytics.
This project involves the implementation of RFM (Recency, Frequency, Monetary) analysis, a powerful technique in customer segmentation and targeting
Hypothesis testing by ANOVA techniques and Dimensionality reduction by Principal Component Analysis
Analyzing e-Commerce company customer churn and providing business recommendations
Election Survey Analysis by Machine Learning
Building various predictive models such as Predicting the price of the product (Linear Regression), Predicting whether employee will opt for holiday package or not (Logistic Regression, Linear Discriminant Analysis))
Solving the problems by using SMDM
Analyzing and Forecasting of two different Wines' Sales by using Time Series Forecasting modelling
This is a Tableau project in my Business Intelligence course where we needed to analyse UNICEF's data to highlight challenges under-five children around the world are facing.
This is a Power BI assignment in my Business Intelligence course where I needed to yield a business report about summer clothes sales performance.