shrutithorle

Advance-Python-Exercise--1

This repository contains Python code for analyzing movie roles based on the provided data. The scripts perform various calculations and provide insights into the roles played by actors throughout their careers and film history.

Advance-python-exercise--2-

This exercise uses Python and pandas to analyze a dataset and matplotlib to visualize the output.

Asiacup-Insights

Delve into the captivating world of Asia Cup cricket matches with this comprehensive Tableau dashboard.

Brain_tumor-detection-and-classification-

Call-Centre-Viz-Tableau-

This Tableau dashboard provides a comprehensive overview of sales team performance, highlighting key metrics and trends

Classification-with-Decision-Tree

KNN-for-Customer-Purchase-Prediction-Case-Study-of-iPhone-Purchases

A comprehensive project on data analysis, model building, and visualization to understand customer purchase trends.

Leveraging-Regression-for-Improved-Prediction-Delivery-Time-and-Salary-Hike-Analysis

Optimizing Delivery Time based on Sorting Efficiency: A Regression Approach (the Delivery Time project) Building a Data-Driven Model for Predicting Salary Hikes ( the Salary Hike project)

Prediction-with-Binomial-LOgistic-Regression

Random-Forest-Classifier-for-Fraud-Detection-A-Machine-Learning-Pipeline-Project

This project aims to analyze and predict high-selling segments for a cloth manufacturing company using Random Forest regression.

Excel-Assignments-

Presenting excel assignment showcasing the utilization of Countif, Countifs, Sumif and Sumifs formulas.

FoodSurveyAnalysis

Analysing the raw data captured through a survey for the most frequent food items consumed during Covid

HR-Attrition-Analitics

This report presents an analysis of employee attrition using Tableau software.

Identifying-Passenger-Segments-for-Targeted-Marketing-using-K-Means-Clustering-in-Airline-Data

This project utilizes K-means clustering to analyze data from the East West Airlines frequent flyer program. By identifying distinct passenger segments based on mileage accumulation, credit card usage, and flight activity, gain valuable insights into their preferences and travel patterns

List-exercise-1

List-Exercise-2-

This exercise involves developing a function that removes the outliers from a list.

Predicting-Tax-Evasion-Risk-with-Random-Forests

This project demonstrates the potential of machine learning to identify risky taxpayers for further investigation. The insights gained can be used to improve tax compliance and revenue collection.

Prediction-with-Multiple-Regression

A multiple linear regression model to predict the profit of startups based on their R&D spend, Administration spend, Marketing spend, and State.

Python-Basic-Assignment

Solved the basic assignment of python, including storing a value in variables ,calling a variable, performed some arithmatical operations in it.

Shrutithorle

Tuple-Exercise

This repository contains a collection of Python exercises focused on tuples.