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

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.

Danius Jean

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.

  • Rate R2183
  • Response 11h
  • Students

    Number of students Danius Jean has accompanied since joining Superprof

    50+

    Number of students Danius Jean has accompanied since joining Superprof

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

R2183/h

1st lesson free

Contact

1st lesson free

1st lesson free

  • 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
  • Matric/GCSE
  • +14
  • levels :

    Primary

    Secondary

    Matric/GCSE

    AS Level

    A Level

    BTech

    Adult education

    Undergraduate

    Masters

    Diploma

    Doctorate

    MBA

    Beginner

    Intermediate

    Advanced

    Professional

    Kids

  • English

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

  • R2183

Package rates

  • 5h: R9825
  • 10h: R17466

online

  • R2183/h

free lesson

The free first lesson with Danius Jean allows you to get to know the tutor and discuss your needs and expectations.

  • 30min

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