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Machine Learning

iDate Scientist

Code Academy Machine Learning Capstone

Project Summary

Code Academy Capstone Project demonstrating skills in  developing Data Science tooling and statistical approaches to formulate answers to data questions.

My Role

Define | Develop | Deliver

Goals

  • Demonstrate use and application of Python Machine learning library
  • Demonstrate and use Anaconda
  • Understand statistical terms and how to apply them
  • Present analysis in a visual and appealing summary

Outcomes

  • Courseware completed successfully
  • Ability to demonstrate to future stakeholders how to use Machine learning to solve for X

Tools & Methods

  • Python SciKit, Pandas
  • Anaconda IDE Platform
  • GitHub
  • Presentation and storytelling

Getting Started

Visit Code Academy for project samples

  • Use Machine Learning to solve everyday problems
  • Learning to use Python tools
  • Understand Regression and Analysis
  • Continuous Learning
Date a Scientist - telling a visual story story through Machine Learning
Table of Contents
Geolocation Data Columns, Longitude and Latitude
Adding columnar data to profiles with Geodata.CSV
Geographical location of data profiles
Reported Income
Weighted Income Reported Table
Dealing with NaN Values
Income Reported
Research Question
Correlation matrix between quantifiable features of the dataset
Pairwise Plot Data Visualization
Logical Regression, Precision, Accuracy, ROC Curve, Logit Regression results and K-nearest values
Logical Regression, Precision, Accuracy, ROC Curve, Logit Regression results and K-nearest values
Logit Regression Model Interpretation
K-nearest Neighbors
Logical Regression, Precision, Accuracy, ROC Curve, Logit Regression results and K-nearest values
17.Screenshot 2022-10-31 220944
19.Screenshot 2022-10-31 221026
Conclusion
21.Screenshot 2022-10-31 221137
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