Summary

FAQs

• What programming languages do you use for designing machine learning and deep learning projects?

  I use Python and R, which are widely used programming languages for machine learning and data science, to design custom machine learning and deep learning pipelines.

• Can you explain the process of designing a machine learning or deep learning project?

  Certainly! The process typically involves data preprocessing, exploratory data analysis, feature engineering, model selection and training, model evaluation, and deployment in production environments.

• Can you work with large datasets?

  Yes, I have experience working with large datasets and can efficiently handle them in your projects.

• Can you provide documentation and explanations?

  Absolutely! I deliver most of my work as Jupyter notebooks, where I use clear English to write paragraphs as a caption for the Python or R code. Additionally, I can provide a video walkthrough of the solution if needed, where I go through the code and explain it.

• Can you deploy machine learning models as APIs?

  Yes, I use Fast/Flask, a Python framework, to deploy machine learning models as APIs to serve your website or mobile app.

• Can you help me run the code?

  Yes, I can help you set up your Python environment and run the code.