Skip to content

RahulParmarRP/machine-learning-notebooks

Repository files navigation

machine-learning-notebooks

machine-learning-notebooks

Machine Learning is basically the function approximation which predicts things like humans.

Steps for building a basic scratch model

  1. Describing data from csv files
  2. Deciding Features and Prediction columns from the data
  3. Quickly making a basic model to fit the data
  4. Make some raw low accurate prediction or failed model
  5. Starting analysis for the patterns

Some methods for building a more predictive model 1.Combining one or more types of model together

About

collection of ML jupyter books

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published