Yeriko Vargas
Learn coding & data science in a hands-on way
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Yeriko Vargas
Masters degree
Enroll after the free trial
Each lesson is 55 min
50 lessons
20% off
/ lesson
30 lessons
15% off
/ lesson
20 lessons
10% off
/ lesson
10 lessons
5% off
/ lesson
5 lessons
-
/ lesson
1 lessons
-
/ lesson
Yeriko - Know your tutor
Hello! I'm Yeriko Vargas, your guide to the world of Python, statistics, and machine learning. With a master's degree in statistics and hands-on experience at Ford and Chrysler, I've got a knack for making numbers tell stories and solving real-world problems. My work has involved everything from predicting trends with linear regression to improving car safety using machine learning. I love turning complex ideas into something anyone can grasp, whether we're talking probability or programming. As a Teaching Assistant, I've helped students tackle tough topics and gain confidence. I'm here to help you get comfortable with data, dive into Python coding, and unlock the exciting possibilities of machine learning
Yeriko graduated from Oakland University


Programming tutor specialities
Debugging
Homework help
Exam prep
Job readiness
Upskilling
Assignment help
Project help
Learner for programming class
ADHD
College
Programming class overview
I specialize in tutoring students for homework, exams, and especially big exams, building understanding from the ground up. My approach is comprehensive, covering both theory in statistics and mathematics and practical Python coding. This ensures you're not just exam-ready but also equipped with essential programming skills. I emphasize Python solutions alongside statistical concepts, offering a dual-track learning path. My aim is to prepare you not just for academic success but for a thriving career in data science. With me, you get the tools and knowledge to excel in both the classroom and the professional world.
Your programming tutor also teaches
App Development
Computer Science
Databases
Flexible Scheduling
Allows 1h early scheduling
Allows 1h early rescheduling
Can wait for 20 mins after joining

10 day Refund
Free Tutor Swap

Computer Science concepts taught by Yeriko
The Tutor and Student explored data science techniques for financial analysis, focusing on Principal Component Analysis (PCA) and data processing for machine learning models. They practiced fetching financial data, normalizing it, and transitioning code from notebooks to terminal scripts for efficiency. The next session will involve reviewing the Student's setup and data acquisition process.
Principal Component Analysis (PCA)
Data Normalization and Scaling
Data Wrangling and Feature Engineering
Terminal vs. Notebooks
Batch Processing and Memory Management
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
Teaching tools used by tutor
Visual Studio Code
Jupyter Notebook
Google Colab
Git & GitHub
Xcode
Dynamic programming classes
Parent feedback
Record lessons
Pets are welcomed
Open Q&A
Note taking
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Every tutor is interviewed and selected for subject expertise and teaching skill.
