yannispap Goto Github PK

autonomous-driving-agent

In this project, we work towards constructing an optimized Q-Learning driving agent that navigates a Smartcab through its environment towards a goal.

azuredw_bikeshareanalytics

data-visualizasion

deploying-a-scalable-ml-pipeline-in-production

dog-project

exploring-uber-demand

Investigated a dataset using R and exploratory data analysis techniques, exploring both single variables and relationships between variables.

github.io

identify-fraud-using-machine-learning

Identified which Enron employees are more likely to have committed fraud using machine learning and public Enron financial and email data.

income-prediction-based-on-census-data

In this project, we employ several supervised learning algorithms to accurately model individuals' income using data collected from the 1994 U.S. Census.

investigating-a-dataset

Posed a question about a dataset, then used NumPy and Pandas to answer that question based on the data and created a report to share the results.

machine-learning

Content for Udacity's Machine Learning curriculum

minimal-mistakes

:triangular_ruler: A flexible two-column Jekyll theme. Perfect for personal sites, blogs, and portfolios hosted on GitHub or your own server.

nd0821-c2-build-model-workflow-starter

Starter Code for the Course 2 project of the Udacity ML DevOps Nanodegree Program

test-a-perceptual-phenomenon

Analyzed the Stroop effect using descriptive statistics to provide an intuition about the data, and inferential statistics to draw a conclusion based on the results.

wrangle-openstreetmap-data

Chose a region and used data munging techniques to assess the quality of the data for validity, accuracy, completeness, consistency and uniformity.