You will get 1-on-1 tutoring in math, Python and machine learning for data science
Project details
I help you understand mathematics, Python and Machine Learning, from scratch or to fill specific gaps. I explain concepts in a clear, simple, step-by-step way with practical examples, and I can review your task, notebook, homework, project or code.
What I can teach:
• Mathematics for Data Science: linear algebra, matrices and vectors, derivatives and gradients, gradient descent, probability, statistics, hypothesis testing, evaluation metrics
• Machine Learning: linear regression, regularization (Ridge/Lasso), decision trees, ensembles, clustering, overfitting and the bias-variance tradeoff, cross-validation, feature engineering, Scikit-learn
• Python for Data Science: NumPy, Pandas, Matplotlib, Scikit-learn, Jupyter, data processing and code review
I teach absolute beginners and intermediate learners, and I can also help you prepare for an interview or exam. Tell me what you need before the session and we will work through it together.
What I can teach:
• Mathematics for Data Science: linear algebra, matrices and vectors, derivatives and gradients, gradient descent, probability, statistics, hypothesis testing, evaluation metrics
• Machine Learning: linear regression, regularization (Ridge/Lasso), decision trees, ensembles, clustering, overfitting and the bias-variance tradeoff, cross-validation, feature engineering, Scikit-learn
• Python for Data Science: NumPy, Pandas, Matplotlib, Scikit-learn, Jupyter, data processing and code review
I teach absolute beginners and intermediate learners, and I can also help you prepare for an interview or exam. Tell me what you need before the session and we will work through it together.
Lesson Purpose
Data ScienceStudent Age
Teen (13-17), Adult (18-65)Development Technology
Python, SQLWhat's included
| Service Tiers |
Starter
$40
|
Standard
$70
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 7 days |
Number of Lessons | 1 | 1 | 3 |
Lesson Length (Minutes) | 45 | 60 | 60 |
Exercises & Supporting Materials | - |
Frequently asked questions
About Ruslan
Senior Data Science/ ML Engineer
Tbilisi, Georgia - 4:35 pm local time
Machine Learning studio. I help companies turn raw, messy data into production-ready
models and decisions that move real business metrics.
My work covers the full DS/ML lifecycle: exploratory data analysis, ETL and data
pipelines, feature engineering, model training and deployment, ML system design, and
rigorous A/B testing. I work primarily in Python (pandas, scikit-learn, TensorFlow,
Keras, SQL, Docker), and I care as much about clean, reproducible code as I do about
model accuracy.
I also teach what I build. Through SENATOROVAI I run a hands-on ML program built on a
reverse-engineering method: start from working models, break down the math behind them,
then rebuild the algorithms from first principles. Understanding a system end to end is
exactly what I bring to every client project.
My work is public — 140+ open-source repositories on GitHub (@SENATOROVAI), where my
methods and standards are open to inspection. If you need someone to own a data problem
from the first raw file to a deployed model, and explain every decision along the way,
let's talk.
Steps for completing your project
After purchasing the project, send requirements so Ruslan can start the project.
Delivery time starts when Ruslan receives requirements from you.
Ruslan works on your project following the steps below.
Revisions may occur after the delivery date.
Share your goal
You tell me the topic, your level and send any materials before the session.
Live 1-on-1 session
We work through it together with clear, step-by-step explanations and practical examples.