Do you want to predict future of a land price or do you want to predict prices of evey day in stock market
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Then let us start learning machine learning
As a beginner to machine learning u need to have some prerequisites like introduction to basic programming in python language
which is pretty easy for us to learn u can learn it easily by sitting in your home
here is the glimpse of websites where u can learn python easily
- TutorialsPoint.
- Codementor.io
- PythonChallenge
- Google's Python Class eBook.
- Python.org.
- Learn Python the Hard Way eBook.
- LearnPython.org.
- invent with Python eBook.
And after completing the course of python u can enter into the Real battlefield
the basic idea of machine learning is
- Importing Data
- Cleaning Data
- Splitting it into train/test or cross-validation sets
- Pre-processing
- Transformations
- Feature engineering
Basically what i want to tell is data is the whole world.
everything in this world gives us some data to predict some output it want
The one who uses Data precisely will be the
GOD AKA the Fortune Teller
These are the Basic packages used in Machine learning:
These are the Basic packages used in Machine learning:
For this u can look Below :
Tutorials:
Tutorials:
Python:
sklearn – Official tutorial for the sklearn package
sklearn – Official tutorial for the sklearn package
Predicting wine quality with Scikit-Learn – Step-by-step tutorial for training a machine learning model
Data Sources:
UCI Machine Learning Repository – 350+ searchable datasets spanning almost every subject matter. You’ll definitely find datasets that interest you.
Kaggle Datasets – 100+ datasets uploaded by the Kaggle community. There are some really fun datasets here, including PokemonGo spawn locations and Burritos in San Diego.
data.gov – Open datasets released by the U.S. government. Great place to look if you’re interested in social sciences.