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Name: Mari Coonley
Type: User
Name: Mari Coonley
Type: User
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
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)
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
repo - tool box project
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
The Leek group guide to data sharing
Developing Data Products Course from the Johns Hopkins Data Science Lab
Plotting Assignment 1 for Exploratory Data Analysis
PM2.5 Emissions Data analysis for years 1999-2008
Samsung Galaxy Smartphone Movement Wearable Computing
Excel course
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
Regression analysis of mtcars data to determine relationship between mileage and transmission type
National Weather Service data, analysis of weather events harmful to public health, and economic consequences across US from 1950 - 2011
Create interactive web graphics from R via plotly's JavaScript graphing library
Repository for Programming Assignment 2 for R Programming on Coursera
Peer Assessment 1 for Reproducible Research
Exponential Distribution Simulation and ToothGrowth data analysis
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
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
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.