FoodHub Order Analysis using Python: Python - Foundations Objective: The food aggregator company is analyzing customer orders to gain actionable insights. As a Data Scientist, you will analyze key questions to improve the business by identifying key questions and identifying key solutions.
Skills And Tools Covered : Exploratory Data Analysis,Python
E-news Express Project: Business Statistics
Objective: The project utilized statistical analysis, a/b testing, and visualization to assess the effectiveness of an online news portal's new landing page in attracting new subscribers, focusing on metrics like converted status and time spent.
Skills And Tools Covered : Hypothesis Testing, a/b testing, Data Visualization, Statistical Inference
ReCell Project: Supervised Learning - Foundations Objective: The study aims to analyze a dataset of used devices, develop a dynamic pricing strategy for used and refurbished devices, and identify key price influencing factors.
Skills And Tools Covered : EDA, Linear Regression, Linear Regression assumptions, Business insights and recommendations
INN Hotels Project: Supervised Learning - Classification
Objective: INN Hotels' data analysis identifies high-influence factors on booking cancellations, develops predictive model for advance cancellations, and aids in formulating profitable cancellation and refund policies.
Skills And Tools Covered : EDA, Data Preprocessing, Logistic regression, Multicollinearity, Finding optimal threshold using AUC-ROC curve, Decision trees, Pruning