Machine Learning Engineering Portfolio

This is a sample of Machine Learning and Data Science projects using Python and R that cover a range of predictive modeling and exploratory analysis methods.

Articles and Papers

Towards Data Science: Bayesian Forecasting with Pybats
Generalized Low Rank Models

Table of Contents

GenerativeAI and LLMs
Time Series and Forecasting
 Bayesian Forecasting
 E-commerce Forecasting
Deep Learning
Structural Equation Models
Bayesian Belief Networks

GenAI

A collection of GenAI / LLM Projects illustrating key ML concepts such as RAG, Prompt Engineering, Fine Tuning, etc.

RAG with ChatGPT

RAG with Llama2

Time Series and Forecasting

Bayesian Time Series Forecasting

Keywords: Forecasting | Bayesian | Dynamic Linear Models | Dash | Plotly
Code: View Source

This application was built using Plotly Dash. The application uses a Dynamlic Regression algorithm to predict a user-selected KPI (i.e. Sales) from a given Brand Equity metric. The API automatically checks for correlated lags up to 12 months, then returns the best Cross-Correlation structure to be used in subsequent multivariate forecasting. The user is able to simulate changes to the predictor variables in real-time. Manipulating the brand equity score value has will show the effect on the KPI forecast in real time.

E-Commerce Forecasting

LTV and Forecasting

Generalized Low Rank Model for Mixed Data Clustering

This is an example of R Code which applies numerous statistical functions to prepare mixed Survey data for clustering GLRM

Deep Learning

LSTM Forecasting for Futures Commodity

An example of using LSTM for time series / forecasting. LSTM

Sample Dash App for Bayesian Forecasting

An example of a Python App deployed using Dash to AWS - integration with PostGres SQL Database and S3 Storage Bucket Dash App

Bayesian Belief Networks

Structural Equation Models

Record Matching / Entity Resolution

Record Matching

Exploratory Factor Analysis and Clustering

EFA/Clustering Diabetes

Random Forest

RandomForest in Python

Logistic Regression

Logistic Regression

R

A collection of data science projects using R

Shiny R Dashboard

Created a Shiny (R) dashboard that intakes a raw .csv file and allows the user to select variables to perform multivariate forecasting using both ARIMA and Bayesian algorithms. Multivariate Time Series