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Mari Coonley's Projects

alllife-bank-campaign icon alllife-bank-campaign

AllLifeBank dataset was used to build a model that will help the marketing department to identify the potential customers who have a higher probability of purchasing the loan. Skills and Tools Logistic regression, multicollinearity, finding optimal threshold using AUC-ROC curve, Decision trees, pruning

cardiogoodfitness icon cardiogoodfitness

Cardio Good Fitness is a retail store selling three different treadmills. We have been provided with customer data from previous purchases of these three treadmills. Objective: Create customer profiles for each product model by performing preliminary data analysis. Generate a set of insights and recommendations to help the company target new customers. Skills and Tools: Univariate analysis, Bi-Variate analysis, Python, Missing Value Treatment, Exploratory Data Analysis ( Variable Identification)

courses-caffo icon courses-caffo

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

linear-regression-cars4u icon linear-regression-cars4u

A pricing model that can effectively predict the price of used cars and help the business in devising profitable strategies using differential pricing. Skills and tools include: EDA, Linear regression, Linear regression assumptions, business insights and suggestions

motor-trend-analysis icon motor-trend-analysis

Regression analysis of mtcars data to determine relationship between mileage and transmission type

plotly icon plotly

Create interactive web graphics from R via plotly's JavaScript graphing library

statsproject-enewsexpress icon statsproject-enewsexpress

This project used statistical analysis, a/b testing, and visualization to decide whether the new landing page of an online news portal (E-news Express) is effective enough to gather new subscribers or not. Tools and skills: Hypothesis Testing, a/b testing, Data Visualization, Statistical Inference

wellness-tourism-package icon wellness-tourism-package

Visit with us Tourism Company wants to offer a new travel package called "Wellness Tourism Package". The model will help predict what customers will be most likely to purchase the new package. Skills used include: Data Preprocessing and cleaning, Exploratory Data Analysis - including Data Visualization, Decision Trees, Random Forest, Bagging, Boosting (AdaBoost, Gradient Boost XGBoost), model tuning, metric analysis

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