machineLearning1

Learn machine Learning - 1 - Jupyter & sklearn

Machine Learning tutorial Link

Main steps:

1. Import data
2. Clean data
3. Split data into Training & Test sets
4. Create a model
5. train the model
6. Make predictions
7. evaluate and improve

Jupyter shortcuts:

(JupyterLab Documentation)[https://jupyterlab.readthedocs.io/en/latest/] to start jupyter lab, run command '''jupyter lab'''

Shortcuts in both modes:

• Shift + Enter run the current cell, select below
• Ctrl + Enter run selected cells
• Alt + Enter run the current cell, insert below
• Ctrl + S save and checkpoint

While in command mode (press Esc to activate):

• Enter take you into edit mode
• H show all shortcuts
• Up select cell above
• Down select cell below
• A insert cell above
• B insert cell below
• X cut selected cells
• C copy selected cells
• V paste cells below
• D, D (press the key twice) delete selected cells
• Z undo cell deletion
• S Save and Checkpoint
• P open the command palette.

Command Palette

• Shift + Space scroll notebook up
• Space scroll notebook down
• While in edit mode (pressEnter to activate)
• Tab code completion or indent
• Shift + Tab tooltip
• Ctrl + ] indent
• Ctrl + [ dedent
• Ctrl + Z undo
• Ctrl + Shift + Z or Ctrl + Y redo

Main packages:

• Numpy
• Pandas
• matplotlib
• scikit-learn
• jupyterlab for notebooks etc..