Danius Jean - Machine learning tutor - London
1st lesson belanja
Danius Jean - Machine learning tutor - London

One of our best tutors. Quality profile, experienced in their field, verified qualifications and a great response time. Danius Jean will be happy to arrange your first Machine learning lesson.

Danius Jean

One of our best tutors. Quality profile, experienced in their field, verified qualifications and a great response time. Danius Jean will be happy to arrange your first Machine learning lesson.

  • Rate RM530
  • Response 7h
  • Students

    Number of students accompanied by Danius Jean since their arrival at Superprof

    50+

    Number of students accompanied by Danius Jean since their arrival at Superprof

Danius Jean - Machine learning tutor - London
  • 5 (8 reviews)

RM530/h

1st lesson belanja

Contact

1st lesson belanja

1st lesson belanja

  • Machine learning

Machine Learning Tutor | Learn Python, Scikit-learn, and Model Evaluation with Oxford MSc Graduate

  • Machine learning

Lesson location

Ambassador

One of our best tutors. Quality profile, experience in their field, verified qualifications and a great response time. Danius Jean will be happy to arrange your first Machine learning lesson.

About Danius Jean

I hold a Master’s in Statistics from the University of Oxford and a BSc in Mathematics from the University of Warwick. I’ve worked as a machine learning engineer in both the pharmaceutical and financial sectors, where I developed models for real-world applications — from predicting clinical trial outcomes to pricing financial assets. Over the past five years, I’ve helped students and professionals learn machine learning from the ground up, master key algorithms, and build portfolio-ready projects. I’ve supported university students with coursework, MSc theses, and exam preparation, as well as early-career professionals looking to transition into data science or strengthen their practical skills. I enjoy making machine learning intuitive — not just teaching how to write code, but helping you understand the logic behind the algorithms so you can apply them with confidence in real-world settings.

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About the lesson

  • Primary
  • Secondary
  • SPM
  • +12
  • levels :

    Primary

    Secondary

    SPM

    Form 6

    STPM

    Adult education

    Bachelor

    Masters

    Diploma

    Doctorate

    Beginner

    Intermediate

    Advanced

    Professional

    Kids

  • English

All languages in which the lesson is available :

English

I offer tailored machine learning lessons based on your goals — whether you're a student working through a university module, a professional upskilling for work, or someone building a personal project. I’ve worked as a machine learning engineer in both pharma and finance, and I’ve been teaching ML for over five years. Lessons can be theory-based, project-driven, or code-focused depending on what you need. I teach using Python (primarily with Scikit-learn, XGBoost, Pandas, and NumPy), but I’m also comfortable supporting students who use R or want to understand models at a conceptual level. I regularly teach: - Supervised Learning (Linear/Logistic Regression, Decision Trees, Random Forests, Gradient Boosting) - Unsupervised Learning (Clustering, PCA, Dimensionality Reduction) - Model Evaluation (Cross-validation, ROC AUC, Confusion Matrix, Precision/Recall) - Feature Engineering & Data Preprocessing - Time Series Forecasting - Hyperparameter Tuning (GridSearchCV, RandomisedSearchCV, Optuna) - Intro to Deep Learning (if needed – e.g., Keras, TensorFlow basics) Whether you're working through an ML module at university, building a portfolio for job applications, or trying to understand how algorithms work under the hood, I can guide you with clear explanations and practical examples. Lessons are interactive, flexible, and always focused on helping you gain real understanding — not just run code.

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Rates

Rate

  • RM530

Pack rates

  • 5h: RM2384
  • 10h: RM4238

online

  • RM530/h

free lessons

This first lesson is free to allow you to get to know your teacher so that they can best meet your needs.

  • 30mins

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