Honey28Git

Capstone-Project--Banking-Project--Loan-Default

This project tackles the crucial challenge of assessing Credit Risk Management in banking. Using Supervised Machine learning, the goal is to predict the probability of default, providing insights into customers' creditworthiness by analyzing variables like account details, purchases, and delinquency information.

Advanced-Statistics

This study delves into the intricate dynamics between salary, education, and occupation, employing both one-way and two-way ANOVA techniques to uncover their relationships. Additionally, it explores the multifaceted dataset on colleges through Principal Component Analysis (PCA).

BCG-Data-Science-Job-Simulation-Forage-

The Following Project is a Data Science Job Simulation Project provided by BCG on Forage.com. Predicting whether a customer will churn using a predictive model.

Customer-Segmentation-EDA

The Following is a practice on Data Visualization Project using Python. This Dataset is taken from Kaggle.com.

Data-Analysis-for-UberDrive-Trips

Data Analysis Practice using python

Data-Mining

Data Mining Techniques used in different Datasets. Market Segmentation using Clustering Analysis Further, using Random Forest Model, CART and Artificial Neural Network to make predictions on data.

Data-Visualization-Using-Tableau

Data Visualization for Boston House Recommending Dataset using Tableau

Machine-Learning

The folliwing ML project involves EDA analysis of Election Dataset, Data preparation for modelling, and prediction using ML models. Also Text Analysis on the inaugral corpora from nltk to analyse the most frequently used words in Presidents' Speeches.

Predictive-Modelling

Using Linear Regression, Logistic Regression and Linear Discriminant Analysis Models to make accurate predictions for different datasets.

SQL-

The following is a MYSQL project where data analysis is done for "Fastkart" database, a chain of retail stores.

Finance-Risk-and-Analytics

These are two sets of Analysis done in this Project. Financial Risk Analysis to check the Credibility of companies and Market Risk Analysis for 10 different Indian Stocks.

Honey28Git

Marketing-Retail-Analytics

This is a Market Basket Analysis project for a Cafe Chain Outlet. Thorough analysis of Cafe chain has been done and menu analysis to find out RFM analysis of the top customer and Menu Analysis to figure out the top performing products of the Cafe Chain. Market Basket Analysis is done for product analysis to understand customer behaviour.

Statistical-Methods-for-Decision-Making

The Following problems showcase different Statistical Methods used for Decision Making. The purpose of this project is to experiment and execute statistical methods, which are required to conduct data analysis, derive insights and inferences and arrive at business decisions.

Time-Series-Forecasting

Forecasting Wine Sales of Two Different types of Wine. After thorough Data Analysis, different models have been used and tested such as Exponential Smoothing Models, Regression, Naive Forecast, Simple Average, Moving Average. Stationarity of the data is checked. Automated Version of ARIMA/SARIMA Model built. Comparison of Models.