A Python package to build predictive linear and logistic regression models focused on performance and interpretation

Today’s business objectives are achieved with user research, design, distribution, analysis, and strategy. Whether you’re getting started or advancing your career, I establish my foundations with many School of Business such as ( Udacity , LinkedIn , IMA , CFI) ,and some Jordanian universities such as (Jdara, Al-Zaytoonah , And Arab Open university).

Customer Segmentation - Using k-means, About: Customer Segmentation is a popular application of unsupervised learning. Using clustering, identify segments of customers to target the potential user base. They divide customers into groups according to common characteristics like gender, age, interests, and spending habits.

Supply chain analytics is a valuable part of data-driven decision-making in various industries such as manufacturing, retail, healthcare, and logistics. It is the process of collecting, analyzing and interpreting data related to the movement of products and services from suppliers to customers.

You can find projects about Predictive Analytics for Business. There are 6 projects in this repo.

It's Technocolabs Software Data Scientist Internship Project (1st Dec 2021 - 15th Jan 2022). In this project the team was instructed to analysis big data of Spotify users and to perform Statistical and Exploratory Data Analysis and Model Development for Predicting Listener Behavior.

This gold price prediction system is a web app for pawning centers to forecast future gold prices and manage pawned items. Using Facebook Prophet, it predicts prices in USD and LKR for 3, 6, and 12 months. Built with React, Node.js, and Flask, it supports user authentication, interest calculations, expiry tracking, and efficient pawn management.

Data Science Project (Clustering + SVM)

A smart, affordable, and modular ERP for SMBs, powered by AI to drive growth and efficiency. Built with React, Supabase, and Vercel.

BevIntel AI is a tool which predicts beverage prices using real product attributes and market patterns, with models trained on cleaned and feature-engineered data. It focuses on identifying the key factors that drive pricing changes.

This is Project 5 of the Predictive Analytics Nanodegree by Udacity

This is the 1st project in the Predictive Analytics for Business Nanodegree from Udacity

Healthcare analytics system identifying hospitals at risk for CMS readmission penalties. Analyzes $5.96B in financial exposure, predicts intervention opportunities, saves $1.46B. Python • scikit-learn • CMS data • Healthcare policy

End-to-end customer churn prediction system using FastAPI microservices, SHAP for explainability, and a React frontend written in TypeScript.

A full-stack ML system that predicts silica concentrate quality failures in an iron ore flotation plant hours before they happen, featuring XGBoost, Neural Networks, and a live Streamlit dashboard.

This is project 4 of Udacity's Predictive Analytics Nanodegree

This is the 6th and final (capstone) project of Udacity's Predictive Analytics Nanodegree