themultivariateanalyst Goto Github PK

attack_detection_securtiy_

Detecting False Positives in Identity-Related Security Attacks

clustering-and-classification

Loan Analysis: Customer Segmentation and Offer Prediction

customer_churn_classifer

Machine Learning Analysis of Bank Marketing Data: This repository contains Python code for analyzing and predicting the outcomes of banking marketing campaigns. Utilizing Logistic Regression and XGBoost models, the project aims to predict whether a client will subscribe to a term deposit or not.

customer_churn_prediction

This project uses Logistic Regression machine learning algorithm to predict customer retention using the Online Retail Data Set from the UCI Machine Learning Repository. The data set contains information on customer purchases, including the quantity, price, and description of each item, as well as the date of purchase and the customer's ID.

dop_pricing_tool

This Streamlit-based application, titled "Option Tool," is a comprehensive tool for options traders. It enables users to interactively analyze the payoff of various option strategies under different market conditions.

efficient_frontier_using_python

This is an in-depth analysis tool for equity fund managers focusing on large-cap shares.

end_to_end_ml

finance_database_sql

This project fetches financial data from Yahoo Finance using Python and yfinance. The data is processed and injected into a custom MySQL database, created and managed using MySQL Workbench and mysql-connector-python. The application handles potential data fetching and SQL errors

lstm-stock-price

ML model that uses LSTM to predict closing prices

machine-learning-term-2

Programs done for machine learning in term 2

opencv-img-classification

image classification of top 5 players in the Ballon d'or voting list

qm-programs-term-1

tableau_prime_video_dashboard

This Interactive Tableau dashboard for Amazon Prime Video offers dynamic visualizations: Radial chart for ratings and World Map for show distribution by country.

time_series_with_r

Analyzed a 10-year USD/EUR exchange rate dataset using ARIMA and Exponential Smoothing forecasting models. Achieved a MAPE of approximately 4.68% and RMSE of about 0.0605 for both models.