Dhruvil - Python tutor - Mumbai
Dhruvil - Python tutor - Mumbai

Dhruvil's email address and phone number have been validated.

Dhruvil

  • Rate 103 GHS
  • Response 11h
  • Students

    Number of students Dhruvil has accompanied since arriving at Superprof

    4

    Number of students Dhruvil has accompanied since arriving at Superprof

Dhruvil - Python tutor - Mumbai

103 GHS/hr

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  • Python
  • Artificial Intelligence

Learn data science, machine learning and NLP the way that gets you job offers.

  • Python
  • Artificial Intelligence

Lesson location

About Dhruvil

I have been working as a Machine Learning Engineer for 3+ years. I also have research experience in Computer Vision, NLP, Deep Learning and Recommendation SYstems. I did my bachelor's from IIT Guwahati.

I have cracked around 10+ Machine Learning Interviews and have been an interviewer for placements at IIT Bombay. I know my way out in the industry and can help you build your way.

About me - (concealed information)

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About the lesson

  • Primary school
  • Junior high school
  • SHS 1
  • +20
  • levels :

    Primary school

    Junior high school

    SHS 1

    SHS 2

    SHS 3

    BTS

    University education

    Adult Education

    Facultate (Licență)

    Master's degree

    Higher national diploma

    Doctor of philosophy

    Other

    GDL

    Qualified Lawyer Transfer Scheme

    MBA

    Pre school

    Beginner

    Intermediate

    Advanced

    Professionel

    Others

    Child

  • English

All languages in which the lesson is available :

English

Data Science is about three things - Asking the right questions, Implementing ideas and inferring from data. The plan is to take anyone through to the following (depending on what level you are at) -

1. Fundamentals of statistics and programming (Python)
2. Implementing numeric operations and data wrangling in NumPy and Pandas.
3. Intro to ML using scikit-learn. Covering ML classical models Regression, Trees, SVMs.
4. Choosing the right metrics for your project.
5. Understanding, debugging and tuning the model performance.
6. How to perform error analysis? How to interpret the model (using tools like LIME and SHAP).
7. Working with text (NLP) and images.
8. Text classification project.

Optional
9. Intro to Neural Networks and Deep Learning
10. Building your deep-learning models in Keras or PyTorch.
11. Regularization and Improving model performance.
12. NER project

13. How to prepare for an interview + Resume building

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Rates

Rate

  • 103 GHS

Pack prices

  • 5h: 517 GHS
  • 10h: 1,035 GHS

Travel

  • + 300 GHS

online

  • GHS103/h

Details

Rates for single and bulk classes vary and depends on the requirements.

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