Ajiboye-Femi Faith's repositories
mapping-data
Coursera Lesson 2: Mapping Data to Python
Health-Premium-Prediction
This case study explores the application of machine learning to predict health insurance premiums based on several key factors.
ML-Data-Preprocessing
This is project to explore different techniques to prepare data for a machine learning project
Online_Retail_EDA
Analysis to gain insights into the store's sales trends, customer behavior, and popular products.
Prospect_Propensity_Prediction
The project focuses on how to use predictive analytics in real time to decide whether a prospect has high propensity to convert and offer him a live chat with a sales agent
ETL
This is a python project to create simple ETL pipelines.
Play-Store
Analysis to help developers draw insights to work on so as to capture the Andriod market.
EuroMart
Analysis to develop marketing strategies by measuring profit, sales, and quantity of products.
FitFam
This is a visualization project of 10 imaginary customers. This project focuses on the output of the customers using the FitFam Fitness Tracker.
Machine-Learning
Applying Machine learning Algorithms on various data sets.
Loan-app
An end to end machine learning project to predict if an applicant would be given a house loan
Squid-Games
Sentiment analysis to analyze and find the emotions or intents behind fans' tweet
spotify
Identifying what makes a hit track
Hamoye
Repo for Hamoye internship quiz and assesment
ckd
The purpose of this project is to build a model to predict the status of chronic kidney disease of a patient.
credit_card
This case requires to develop a customer segmentation to define marketing strategy
Auto-mobile
Analysis using various machine learning models to predict Automobile prices
Wine
Analysis to predict classes of wine
Iris
Analysis to compare different types of algorithms to predict Iris species
Maven_toys
Analysis to understand profitability, seasonal trends and sales of Maven stores in Mexico
New-Hope
Analysis to understand the patient demography of a clinic
fetman
FESTMAN'S Data Hackathon Challenge
Mall
Customer segmentation using KMeans