Yeriko Vargas
Python, ML, R-Studio & SQL Mentor | Turn Your Ideas into Fully Functional Data Projects
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Yeriko Vargas
Masters degree
/ 55 min
About your coding tutor - Yeriko
Hello! My name is Yeriko Vargas. I hold a Master's degree in Statistics and have several years of experience working with Python, data science, and machine learning. I enjoy helping students understand difficult topics by breaking them into clear logical steps. My focus is on teaching intuition and problem-solving skills rather than simply giving answers. I can help with: Python Pandas NumPy Machine Learning Statistical Modeling Data Analysis Regression Hypothesis Testing Probability Data Visualization Jupyter Notebooks Python programming Statistics and probability Data science projects Machine learning basics Data analysis using Pandas and NumPy University homework and assignments Whether you are learning Python for the first time or working on a data science project, I can help guide you through the problem-solving process. I am a data scientist and statistician with strong experience in Python, R , SQL, machine learning, and statistical modeling. My teaching style focuses on helping students understand concepts intuitively rather than memorizing formulas. Subjects I tutor include Python programming, statistics, data analysis, and machine learning fundamentals.
Yeriko graduated from Oakland University


Coding tutor specialities
Debugging
Paired coding
Code Review
Homework help
Upskilling
Learner types for coding classes
Coding for adults
Coding for intermediate
ADHD
Coding for advanced
Coding for beginners

15 days Refund
Free Tutor Swap

Coding concepts taught by Yeriko
The Student and Tutor explored Principal Component Analysis (PCA) and clustering techniques, applying them to a music dataset to understand song energy based on texture and dynamics. They discussed data preprocessing, including normalization and scaling, and explored methods for determining the optimal number of clusters. The session concluded with a plan to apply similar techniques to a finance project in future sessions.
Principal Component Analysis (PCA)
Clustering Analysis
Exploratory Data Analysis (EDA)
Data Preprocessing: Scaling and Normalization
Supervised vs. Unsupervised Learning
The Tutor and Student explored the concept of APIs and their application in financial data analysis, specifically using Yahoo Finance. They discussed anomaly detection techniques in machine learning, including cluster analysis and random forests, and touched upon fundamental statistical concepts like normality and data labeling (supervised vs. unsupervised learning). Future sessions were planned to delve deeper into PCA and its combination with clustering.
APIs and Data Fetching
DataFrames and Data Manipulation
Anomaly Detection
Cluster Analysis
Supervised vs. Unsupervised Learning
Approach & tools used by coding tutor
PyCharm
Jupyter Notebook
Git & GitHub
Visual Studio Code
Google Colab
Hands-on coding classes
Note taking
Open Q&A
Record lessons
Pets are welcomed
Parent feedback

Programming tutors on Wiingy are vetted for quality
Every tutor is interviewed and selected for subject expertise and teaching skill.
