Name: Martell Tardy, M.S.
Type: User
Company: Dialexa - an IBM company
Bio: Machine Learning Engineer with deep domain expertise in digital product engineering |
#Python #R #MySQL
Location: Las Vegas, Nevada
Blog: linkedin/in/martelltardy
Martell Tardy, M.S.'s Projects
Bayesian parameter optimization with gaussian process in Python for a Light GBM model.
In this case study target variables are explored while using two ways of fitting a linear regression model to predict Boston housing prices. The the least squares method is used to estimate the coefficients.
Exploring the utility of cosine similarity for record matching and NLP projects.
A case study exploring a MySQL database about a country club where information and requests are retrieved and translated into SQL queries to tackle particular business questions.
This repository contains mini-projects and case studies showcasing my advanced knowledge of analytical concepts in the data visualization software Tableau..
This repository contains links to mini-projects and exercises completed in the Microsoft Excel spreadsheet software program.
Forecasting sales for a luxury brand dealership using 10+ years of sales history.
In this mini project the stock prices of a company are analyzed in order to determine stock prices and trading volumes using equities data from the Frankfurt Stock Exchange (FSE).
In this case study, the concepts associated with frequentist inference are explored in two parts to assist a hospital in answering business questions around revenue and patients' insurance.
Using the Grid Search method to identify the optimal number of neighbors to use in the K-nearest neighbor model.
In this case study, the analysis of whether there is a significant difference between the ratings on two app platforms justifies choosing one over the other is explored.
Martell Tardy's personal website.
This repository contains links to capstone projects, mini-projects and exercises completed in the Python programming language.
This repository contains capstone projects, mini-projects and exercises completed in the R programming language.
This case study uses exploratory data analysis (EDA) and regression to predict alcohol levels in wine by modeling several linear regression models with varying parameters.
This a case study seeking to answer which boroughs of London have seen the greatest increase in housing prices, on average, over the last two decades?
In this capstone project I developed a data-driven business-strategy for a ski resort seeking to either cut costs or increase ticket prices based on various economic factors.
This repository contains links to mini-projects and exercises completed in the SQL programming language.
In this repository, two real-world take-home challenges, from well-known companies, have been completed for practice.
Using historical sales and marketing data from 1949-1960 to predict whether a top manufacturer of cigarettes sales have increased, decreased, or stayed the same in the early 60s.