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
