Machine Learning Experiment with MLFlow and Logistic Regression

This project demonstrates a machine learning workflow using Logistic Regression on the Iris dataset, while leveraging MLFlow for experiment tracking. The main objectives are: -Training a Logistic Regression model -Evaluating model performance -Logging metrics and artifacts with MLFlow

Machine Learning Experiment with MLFlow and Logistic Regression

This script demonstrates loading a machine learning model using MLflow, making predictions, and organizing the results in a structured format.

Flask Web Application with Dynamic URL Building

This project implements a Flask Web Application with multiple routes for serving HTML pages, handling form submissions, and demonstrating dynamic URL building using variable rules and Jinja2 template engine.

Flask Web Application

This project implements a Flask Web Application with multiple routes for serving HTML pages and handling form submissions. It demonstrates basic WSGI application structure, HTML rendering, and form handling.

Amazon Web Scraper Project

Web scraping is an automatic method to obtain large amounts of data from websites. Most of this data is unstructured data in an HTML format which is then converted into structured data in a spreadsheet or a database so that it can be used in various applications.

Predict Product Uptake

The data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. Often, more than one contact with the same client was required, in order to find out if the product (bank term deposit) would be (or not) subscribed.

Customer-Churn

A bank has been observing a lot of customers closing their accounts or switching to competitor banks over the past couple of quarters. As such, this has caused a huge dent in the quarterly revenues and might drastically affect annual revenues for the ongoing financial year.

Loan Eligibility for Dream Housing Finance Company Dream Housing

Dream Housing Finance is a company that offers various types of home loans, catering to both urban and rural areas. The loan application process begins with the customer applying for a home loan. Subsequently, the company assesses the customer's eligibility for the loan.

Online Payment Fraud Detection

Blossom Bank, also known as BB PLC, is a multinational financial services group, that offers retail and investment banking, pension management, asset management, and payments services, headquartered in London, UK. Blossom Bank wants to build a Machine Learning model to predict online payment fraud

Price Optimisation based on price elasticity of Demand

Pricing a product is a crucial aspect in any business. Alot of thought process is out into it. There are different strategies to price different kinds of products. There are products whose sales are quite sensitive to their prices and as such a small change in their price can lead to noticeable chan

Student Performance Indicator

This project understands how the student's performance (test scores) is affected by other variables such as Gender, Ethnicity, Parental level of education, Lunch, and Test preparation course.

EDA on Lagos House Price

The dataset contains 5336 records of rental properties around 7 districts in Lagos. The data was sourced from a Nigerian real estate company website.