Hacking your way into

Machine learning

techedlaksh

PyCon

Nove

This Talk is for: 

  • New to MACHINE LEARNING
  • You know PYTHON

What is Machine Learning ?

"Machine Learning is the field of study that gives computers the ability to learn without being explicitly programmed."

- Arthur Samuel, 1959

Why Machine Learning ?

The iterative aspect of machine learning is important because as models are exposed to new data, they are able to independently adapt. They learn from previous computations to produce reliable, repeatable decisions and results.

Workflow

DATA

Model

PREPROCESSING

  • Data Collection
  • Data Sources
  • Data Exploration 
  • Data Manipulation
  • Feature Engineering
  • Model Selection
  • Cross Validation
  • Plotting Curves

Data

Sources

Collection

  • Application Program Interface (API)
  • Scraping

Wine Data SET

1) Fixed Acidity 
2) Volatile Acidity
3) Citric Acid
4) Residual Sugar 
5) Chlorides
6) Free Sulfure Dioxide 
7) Total Sulfur Dioxide
8) Density 
9) pH 
10)Sulphates 
11)Alcohol 
12)Quality  
Attributes

Libraries

 

More Detailed Information

Preprocessing

Exploration

Data exploration is an approach, whereby a data analyst uses visual exploration to understand what is in a dataset and the characteristics of the data, rather than through traditional data management systems.

Manipulation

 

Shuffle the Data

Model

Model Selection

Classification

  • Decision Tree
  • Random Forest
  • k-Nearest Neighbors
  • Neural Networks

Regression

  • Random Forest
  • Linear Regression
  • Neural Networks

and many more...

Decision Tree

Random Forest

Ciao !

https://slides.com/techedlaksh/ml

Any Questions?

techedlaksh
techedlaksh
techedlaksh
techedlaksh

get your feet wet!

You will get more confidence.

Hacking your way into Machine Learning

By Laksh Arora

Hacking your way into Machine Learning

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