Kwork for Android
Unlimited free revisions within the initial scope of your order. You'll only pay for changes that exceed your original requirements. Learn more

Be your data science and machine learning tutor

Kwork Overview

Data Science is a demanding field nowadays. Data evolution is part of each organization. People are moving towards data science learning to explore new features from the data and practice them in their products.

I will deliver you data science tuition to boost your knowledge regarding the below-given skills in this kwork.

  1. Basics of Data Science
  2. Most Demanding Programming Languages (Python & R)
  3. Data Visualization
  4. Data Wrangling
  5. Feature Engineering
  6. Machine Learning
  7. Statistical Analysis
  8. Computer Vision
  9. Image Processing
  10. Text Analysis
  11. Dealing with Databases

If you want to learn data science and machine learning, you are just at the right spot.

Please reach me in the inbox for further discussions.


To get started, the seller needs:

Please provide a brief description of the task that you want to study; it will be better if you provide a document that covers all the parts that you are looking for and then share it with me.

Type of Training: Programming Training
Scope of this kwork: 2 hours
2-day delivery
Unlimited Revisions
Money-back Guarantee
We promise an excellent order experience or
your money back. How does this work?


$20Order Details
2-day delivery
Unlimited Revisions
Number of hours  

Money-back Guarantee

We promise an excellent order experience or your money back.

How does this work?

If you're not satisfied, we're not satisfied. That's why you have the chance to review and approve a seller's delivery before your money changes hands.

You'll get your money back

  • instantly if you cancel within 20 minutes of placing the order
  • instantly if the seller misses the deadline and you choose to cancel the order
  • instantly if the buyer and seller mutually agree to cancel the order
  • within several hours if the order is completed poorly or incomplete.
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