Yeriko Vargas
Computer Science Tutor — Python, Machine Learning, SQL, Real-World Projects & Assignment Help
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Yeriko Vargas
Masters degree
/ 55 min
About your coding tutor - Yeriko
Hey — I’m Yeriko Vargas. If you’ve ever sat there like “why does none of this make sense?” — that’s exactly where I come in. I teach Python, stats, and machine learning in a way that actually clicks. No robotic lectures, no memorizing random formulas — we break things down, step by step, until you get it. I’ve built real models at Ford Motor Company and Chrysler, but more importantly, I know how to explain things in a way students understand. My whole focus is helping you go from lost → confident as fast as possible. We learn by building real stuff — not fake textbook problems. One of my recent projects is a music recommendation system that thinks like a DJ. It breaks songs into energy, texture, and dynamics using signal processing, then uses PCA + clustering to organize them into “states.” From there, it picks the next track based on similarity, BPM, key, and flow. So instead of guessing, you’re actually understanding how intelligent systems make decisions. I can help you with: * Python (Pandas, NumPy, Jupyter — all the real tools) SQL + working with real datasets * Statistics & probability (finally making sense of it) Machine learning (without the confusion) * Assignments, projects, exam prep Whether you’re stuck on homework, building a project, or just trying to understand what’s going on — I’ve got you. We’re not just learning… we’re making this stuff make sense. 🚀
Meet Yeriko
Yeriko graduated from Oakland University
Coding tutor specialities
Paired coding
Assignment help
Upskilling
Code Optimization
Debugging
CoTutorAI modules
Summary
Podcast
Quiz
Learnings
Flashcard
Spotlight
Zero Risk Guaranteed
15-days refund
Free tutor swap
No cancel fee
1-yr validity
24/7 support
Learner types for coding classes
Coding for beginners
Coding for advanced
Coding for intermediate
Coding for adults
ADHD
Yeriko - Coding tutor also teaches
Coding for kids
Matlab
R Programming
Coding concepts taught by Yeriko
The Tutor and Student explored statistical concepts including linear regression, correlation, and probability distributions. They practiced analyzing data relationships using correlation matrices and discussed hypothesis testing with examples. The next session is planned to involve more complex datasets and examples.
Linear Regression Basics
Correlation: Measuring Relationships
Distributions: The Shape of Data
Null Hypothesis and p-values
The Tutor and Student collaborated on designing a system for tracking dealer training attendance and knowledge retention for M&A Supply. They discussed data structure, ID management, and the use of AI-generated content and potential dashboards to improve training effectiveness. The next steps involve the Student creating a system template based on the discussed data and concepts.
Data Tracking and Management
Training Curriculum and Delivery
Leveraging AI and Automation in Training
Data Identification and Interconnectivity
The student and tutor worked on developing and organizing AI skills within platforms like Claude and Cursor. They practiced troubleshooting, creating custom skills for website structure and data backup, and establishing a file organization system for multiple projects. The session concluded with a plan to build a marketing funnel by integrating existing email templates and skills.
Folder Organization and Project Management
Command Line Interface (CLI) and Terminal Operations
AI Model Capabilities and Limitations
Funnel Building and Automation Strategies
AI Skill Development and Training
The tutor and student worked on setting up the Cursor IDE, organizing project folders, and integrating AI coding assistants. They practiced using the terminal, explored AI model selection, and began developing a lead generation website by generating HTML and discussing deployment strategies, with a plan to focus on project implementation in future sessions.
Understanding Code Hosting and Deployment
Project Deployment and Workflow Management
AI Agent Interaction with Cloud Code
Cursor IDE Setup and Configuration
The Tutor provided an overview of AI development environments and project organization, explaining the benefits of tools like Cursor for integrating AI into coding. The Student expressed interest in applying these concepts to their own projects, and they planned to schedule follow-up sessions to set up the Student's computer and begin working on their specific applications.
Environments in Python
GitHub for Code Management
AI Model Selection and Usage
Development Environments and Tools
The Student and Tutor reviewed concepts related to linear regression, matrix operations, and Principal Component Analysis (PCA). They discussed how multiple features predict an outcome and how PCA reduces dimensionality by identifying principal components that capture data variance. The next steps involve applying these concepts to predict sales using a linear regression model.
Y-hat (ŷ) as Prediction
Principal Component Analysis (PCA)
Linear Regression and Model Building
Matrices in Data Representation
Approach & tools used by coding tutor
Jupyter Notebook
PyCharm
Visual Studio Code
Google Colab
Git & GitHub
Hands-on coding classes
Pets are welcomed
Open Q&A
Record lessons
Parent feedback
Note taking
Programming tutors on Wiingy are vetted for quality
Every tutor is interviewed and selected for subject expertise and teaching skill.