Ansuman Patnaik's repositories
Data-Science-Final-Project
This project analyzes NYC restaurant inspections, leveraging business acceleration data to predict inspection grades using machine learning models. The Random Forest model performed best, demonstrating high accuracy and identifying key features influencing food safety compliance and inspection outcomes.
Data-Science-M11
Decision Trees/Random Forests
Telecom-Churn-Case-Study
In this project, you will analyse customer-level data of a leading telecom firm, build predictive models to identify customers at high risk of churn and identify the main indicators of churn.
Bike-Sharing-Linear-Regression-Case-Study
In this project is a programming assignment wherein you have to build a multiple linear regression model for the prediction of demand for shared bikes. You will need to submit a Jupyter notebook for the same.
Credit-card-Case-study
This case study provides a practical application of EDA techniques in a real business context. Beyond utilizing EDA methods, the goal is to foster a fundamental comprehension of risk analytics within the banking and financial services sector. The focus extends to understanding the role of data in mitigating financial risks associated with lending.
Data-science-M10
Naïve Bayes Text Classification
Data-Science-M2
Data Science Assignment Module 2 (K-Fold Cross Validation)
Data-Science-M3
Cleaning Messy Data
Data-Science-M4
Feature Selection & Dimensionality Reduction
Data-Science-Project-2-M9-Clustering-SVM
Can We Predict Purchases from Web Sites?
IA-Final-Group-5
This project outlines the final project requirements for DAV6100 - Information Architectures, focusing on group assignments, scoring criteria, topic selection, core requirements, and project components such as design, development, visualization, and executive presentation.
Lead-Scoring-Case-Study
An education company named X Education sells online courses to industry professionals. On any given day, many professionals who are interested in the courses land on their website and browse for courses.
RSVP-Movies-Case-study
RSVP Movies, aiming for a global audience in 2022, seeks data-driven insights. As a data analyst and SQL expert, I'll analyze past movie data, providing recommendations for their strategic planning and success.
DAV_IA_DEMO
Section1 DEMO_REPO