Sumit - Computer science tutor - London
Sumit - Computer science tutor - London

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

Sumit

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

  • Rate R2735
  • Response 8h
  • Students

    Number of students Sumit has accompanied since joining Superprof

    50+

    Number of students Sumit has accompanied since joining Superprof

Sumit - Computer science tutor - London
  • 5 (59 reviews)

R2735/h

Contact
  • Computer Science
  • Machine learning

Senior Data Scientist | MS in Data Science | 8+ Years Industry Experience | Master Machine Learning, Deep Learning, and Artificial Intelligence

  • Computer Science
  • Machine learning

Lesson location

Ambassador

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

About Sumit

I’m a Data Scientist with over 8 years of industry experience, currently working at a leading UK Defence Contractor. I hold a Master’s in Data Science & Analytics from the University of London, where I specialised in machine learning, predictive analytics, and data engineering.

I bring a hands-on, practical approach to teaching, grounded in real-world industry experience. I’m deeply passionate about mentoring and empowering students, ensuring they don’t just understand the concepts but can confidently apply them to solve problems, build projects, and secure top roles in Data Science and AI.

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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

Teaching Approach
Start with fundamentals to build a solid foundation
Emphasis on daily practice for long-term retention
Self-made notes provided after each session
Industry-aligned content with real-world applications
Sessions tailored to individual learning pace and goals

Topics Covered
Machine Learning Foundations
Linear Regression, Logistic Regression

Decision Trees, Random Forest, Gradient Boosting

Support Vector Machines (SVM)

k-Nearest Neighbours (k-NN)

Naive Bayes

Cross-Validation, Bias-Variance Tradeoff

Model Evaluation: ROC, AUC, Precision, Recall, F1-Score

Regularisation & Optimisation Techniques

Unsupervised Learning
Clustering: k-Means, Hierarchical Clustering, DBSCAN

Dimensionality Reduction: PCA, t-SNE

Association Rule Learning: Apriori, Eclat

Deep Learning & AI
Neural Networks (ANNs)

Convolutional Neural Networks (CNNs)

Recurrent Neural Networks (RNNs), LSTMs

Transformers & Attention Mechanisms

Generative Models (GANs, VAEs)

Natural Language Processing (NLP)

Tools & Technologies
Python, scikit-learn, TensorFlow, Keras, PyTorch

Streamlit, AWS, Databricks

Git, Jupyter, Google Colab

SQL, Tableau for data visualization

Applied Learning & Projects
Hands-on projects to build a strong portfolio

Real-world case studies and industry applications

Model deployment & MLOps best practices

Career guidance and interview preparation support

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Rates

Rate

  • R2735

Package rates

  • 5h: R12036
  • 10h: R21883

online

  • R2735/h

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