Machine Learning

Download Miniconda

Install Miniconda on the computer

Test the installation via terminal

Create a project folder A and change into the folder A

Within the folder A create a custom environment by

Activate a new environment (Conda activate)

• List of environments
  conda env list
• Deactivate environment

  To deactivate an active environment, use

  conda deactivate

Load up a Jupyter Notebook and check the tools we need

1. In Miniconda terminal run the command from the folder A

   jupyter notebook

2. As a result jupyter notebook will be open in the browser at http://localhost:8888/tree



3. Press on New button > select Notebook > Python 3

4. Press on Untitled.ipynb


5. Write a Python command like print("Hello world") and press Shift Enter


6. Write
   import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import sklearn
   


7. Press Shift Enter and see the number near the In was updated.


8. Press Ctrl S to Save.


9. To stop working perform
   
   
   1. In the terminal press on Ctrl C
   2. Write conda deactivate
      It will show base in the terminal.


10. To activate it again write
    conda activate <full path of folder A\env>

Install Jupyter using Conda

It will be installed in the env folder.

Sharing Conda Environment

Jupyter Notebook shortcuts

• Shift Enter - execute the command
• Ctrl s - save
• Esc b - a new cell below
• Esc a - a new line above
• Esc dd - delete a cell
• m - markdown
  
  
  • # ABC
  • ## VVV
  • 


• y - code
• tab - autocomplete of the file name in the current folder
• df = pd.read_csv("my_file")
df.head(30)
df['Approximate sales in millions'].value_counts().plot(kind="bar")


• Run comments like in the terminal
  • ls