This project focuses on analyzing a dataset using statistical methods and machine learning techniques to draw insights and predict outcomes

This project focuses on implementing and comparing different regularization techniques for predictive modeling, with the primary goal of improving model performance and interpretability

Concepts covered - Hypothesis Testing - Regression Analysis, Two Sample Hypothesis Testing - Dependent vs. independent Variables

Two Samples Comparison - ‘z’ test, ‘t’ test, and ‘F’ test and its application analyzed

This project has been meticulously designed to immerse participants in a hands-on exploration of advanced statistical methodologies, centering on the nuanced processes of estimating confidence intervals and rigorously testing hypotheses related to pivotal population parameters

Discrete and Continuous Probability Distribution analysis performed on the car sales summary report

Sales Order Summary analysis performed using descriptive statistics

Speciesfisheries dataset analyzed using descriptive statistics