“ESAY & SIMPLE WAY”

” Let’s talk about how to get started with solving problems using fancy computer stuff called Machine Learning. Ready? Here are the steps in a super easy way:

  1. Think Like a Business Pro:
    Imagine you’re a superhero for a business. What problems can you solve to make the business even better?
  2. Spot the Problems:
    Look at some data like a detective. What issues can you find? It’s like solving a mystery!
  3. Fixing Time:
    How can we solve the problems we found? Think of it like finding the right tool for the job.
  4. Data Collection Adventure:
    Go on a treasure hunt for data! Collect all the information you need.
  5. Accuracy Check:
    Imagine you have a superhero accuracy meter. How close are you to being a superhero in solving the problems?
  6. Online or Offline Learning:
    Decide if you want to learn from a book (offline) or learn as you go (online). Choose what suits your data adventure!
  7. Make Guesses:
    Pretend you’re a detective again. What do you think will happen? Make some educated guesses about your superhero plan!”

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“STARTS FROM HERE”

Framing ML Problems

How to plan for Data science Practically?

STEPS:

1. Business Problem to Machine Learning :

  • Think, In terms of business.

2. Types of problem :

  • What can be problems after looking at data?

3. Current Solution :

  • What can you do to solve a current problem?

4. Getting Data :

  • collect the data

5. Metrics to measure :

  • check accuracy

6. Offline vs Online :

  • Choose learning according to your data.

7. Assumption :

  • make assumptions about your model.

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