Julio Lemus
Data Science projects: data cleaning, machine learning, and future projects.
GitHub: Julio-Lemus
The first step to machine learning modeling is to ensure the data is clean. In this project we clean unwanted rows by using a simple drop row. Trial and error different techniques to find the lowest mean absolute error. (Such as Impartation and categorical value handling).
Objective: Practice cleaning and combining excel sheet data
To simplify complexity, certain features can be discarded if they do not affect the model much. PCA is a tool to analyze which features makes the biggest modeling differences.
Objective: Decrease Learning Time
Anomaly Detection on an Industrial System
An Intro to Machine Learning Course midterm was to identify industrial control spoofing attacks using Machine-Learning based Anomaly Detection. My team used Gaussian Discriminant Analysis.
Objective: Anomaly Detection
Continuous Learning
I believe machine learning can be learned by anyone. Kaggle is a great place to start… Yes, even without coding knowledge.
The Julio Blog 