Arun Prakash - Prof d'initiation informatique - Paris 4e
Arun Prakash - Prof d'initiation informatique - Paris 4e

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Arun Prakash

  • Tarif 23CHF
  • Réponse 1h
  • Élèves

    Nombre d'élèves que Arun Prakash a accompagné depuis son arrivée sur Superprof

    3

    Nombre d'élèves que Arun Prakash a accompagné depuis son arrivée sur Superprof

Arun Prakash - Prof d'initiation informatique - Paris 4e

23CHF

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Ce professeur est malheureusement indisponible

  • Initiation informatique
  • Machine learning

Sr Data Scientist exp 8+ years | Tutoring exp 5+ years | UQ machine learning | deep learning | coding | R | python expert

  • Initiation informatique
  • Machine learning

Lieux du cours

À propos d'Arun Prakash

Hi, I am Arun Prakash, currently working as a Senior Data Scientist in a major retail in Australia. I started my tech career working as a software developer and full-stack web developer in India and then came to Australia to pursue my masters in computer science from the University of Queensland, focusing on machine learning and deep learning.

During my master's degree, I won first prize in a few data science and machine learning hackathons in Australia and ranked 4th out of 7000 participants in a global computer vision contest, and that led me to grab data science job opportunities here across industries such as mining and retail, and also I've been constantly teaching and helping people here. For my overall contribution in data science in Australia, I was awarded Distinguished Talent Visa (permanent residency) by the Australian Govt.

In my industry data science experience, I have built and deployed various prediction models using different architectures and algorithms such as tree-based, convolutional neural networks, recurrent neural networks, transformer-based models etc.

I focus on building end to end data science applications such as data cleaning, feature engineering, model building, model validations, cloud model deployment(AWS, GCP), writing well-documented production code, API dev, and demo apps.

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À propos du cours

  • Tout niveaux
  • Français
  • Anglais

Toutes les langues parlées pour le cours :

Français

Anglais

SR DATA SCIENTIST EXP 7+ YEARS | TUTORING EXP 4+ YEARS | UQ MASTERS COMP SCI GRAD| PYTHON | CODING | MACHINE LEARNING | DEEP LEARNING | DATA ANALYSIS | DATA SCIENCE



I write code every day, and I do it fast and explain the code and logic behind it. That helps you to understand everything clearly

Things I am doing with my current students:
----------------------------------------------------------------

- teaching python, machine learning, data science
- helping them to enter into programming and data science in general
- sharing practical experiences and making them more productive
- mentoring in their PhD projects
- preparing a learning program that suits their schedule and learning goals.
- project-based learnings
- book suggestions and learning/teaching books together, and so on.

I have been teaching python, data science and machine learning in Australia for the past 4+ years to a wide range of students such as university students, business and working professionals, mathematicians, students into machine learning, and people with no tech background.

In my lessons, I will be teaching using various visualisation tools to explain data and algorithms, do project-based learning approaches, and can give you various real-life scenarios that help you to understand the challenging concepts better.

My teaching philosophy is a top-down approach where I clearly outline why we are doing something and then dive into details with tons of practical examples that come from my previous job experience where I had the privilege to lead and ship many successful machine learning projects.

Some of the tools that I have been using and teaching:

Tools:
--------
Data Science Tools: Python, R, Numpy, Pandas, Scikit-Learn, Matplotlib, Plotly, Seaborn, PyTorch, Keras, Tensorflow, Fastai, Lightgbm, Catboost, XGBoost, Pytorch Lightning, weights&biases, GPU, streamlit, chatgpt, openapi, langchain, openai

Programming Languages: Python, SQL, R

Data Engineering & Backend: git, Docker, conda, AWS: S3, Lambda, API Gateway, DynamoDB,
Athena database, Cognito user pool, Chalice, EMR, Redshift, Quicksight, Step functions, Kinesis, Sagemaker; FastAPI, GCP, Bigquery, Cloud functions

Frontend: Flask, Django, Streamlit

Areas: Natural Language Processing (NLP), Computer Vision,(Image Recognition, Image segmentation, Image Regression), Time series, Recommender systems, tabular datasets, regression, classification, model interpretations, API

Please contact me to book a trial lesson. I wish you all the best with your learning goals.

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Tarifs

Tarif

  • 23CHF

Tarifs packs

  • 5 h: 115CHF
  • 10 h: 229CHF

webcam

  • 23CHF/h

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