Create free-programming-cheatsheets-ML.md
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# ML-Machine-Learning
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<p align="right">
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<img src="https://github.com/akashdip2001/ML-Machine-Learning/assets/81384987/dff140e6-3c24-4430-96b6-48877e6c98b9" alt="Pandas Logo" width="500" />
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</p>
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| GitHub Repo |🍭 [ML](https://github.com/akashdip2001/ML-Machine-Learning) 🍭|🐥 [Pandas](https://github.com/akashdip2001/ML-Machine-Learning/tree/main/pandas) 🐥|❌ [numPy](https://github.com/akashdip2001/ML-Machine-Learning/tree/main/numPy) ❌|
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|-------------------- |-------------------- |-------------------- |-------------------- |
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| WebSite => |🍭 [ML](https://akashdip2001.github.io/ML-Machine-Learning/) 🍭|🐥 [Pandas](https://akashdip2001.github.io/ML-Machine-Learning/pandas.html) 🐥|❌ [numPy](https://akashdip2001.github.io/ML-Machine-Learning/numPy.html) ❌|
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|-------------------- |-------------------- |-------------------- |-------------------- |
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---
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![ml](https://github.com/akashdip2001/ML-Machine-Learning/raw/main/ML/img/ml_roadmap01.jpg)
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![ml](https://github.com/akashdip2001/ML-Machine-Learning/raw/main/ML/img/ml_roadmap02.jpg)
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# Jupyter Notebook // JupyterLab // .ipynb
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### Command Mode Shortcuts (press Esc to activate)
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- **A**: Insert cell above
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- **B**: Insert cell below
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- **D, D** (press D twice): Delete selected cell
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- **Y**: Change cell to code mode
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- **M**: Change cell to markdown mode
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- **Shift + Arrow**: Select multiple cells
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- **Shift + M**: Merge selected cells
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- **Ctrl + Enter**: Run selected cell
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- **Shift + Enter**: Run cell and select below
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- **Alt + Enter**: Run cell and insert new cell below
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### Edit Mode Shortcuts (press Enter to activate)
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- **Ctrl + /**: Comment/uncomment selected lines
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- **Tab**: Code completion or indent
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- **Shift + Tab**: Tooltip (for function arguments)
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- **Ctrl + Shift + -**: Split cell at cursor
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- **Ctrl + Shift + P**: Command palette (access to all commands)
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### Navigation Shortcuts (in both modes)
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- **Up Arrow / Down Arrow**: Move up/down one cell
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- **Ctrl + Home**: Go to first cell
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- **Ctrl + End**: Go to last cell
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- **Ctrl + G**: Go to specific cell by number
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- **Shift + L**: Toggle line numbers
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### Other Useful Shortcuts
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- **Esc + F**: Find and replace
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- **Esc + O**: Toggle cell output
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- **Esc + H**: Show keyboard shortcuts help dialog
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- **Esc + I, I**: Interrupt kernel
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- **Esc + 0, 0**: Restart kernel
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- **Ctrl + Shift + Enter**:Run All Cells
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---
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# [Pandas](https://github.com/akashdip2001/ML-Machine-Learning/tree/main/pandas)
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### Downlod [Pythin](https://www.python.org/downloads/_)
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Run Command Prompt as Administrator:
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- Right-click on the Command Prompt icon in the Start menu.
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- Select "Run as administrator".
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- Confirm the User Account Control prompt if prompted.
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```python
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!pip install pandas
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!pip install jupyter
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# If you want to install matplotlib as well, uncomment the line below
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# !pip install matplotlib
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!jupyter notebook --version
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```
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```
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jupyter notebook
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```
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![Screenshot (38)](https://github.com/akashdip2001/ML-Machine-Learning/assets/81384987/bd3b3e3a-5d70-41a2-b412-14f1f109fc8e)
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![Screenshot (39)](https://github.com/akashdip2001/ML-Machine-Learning/assets/81384987/d1b0208d-eca9-42d1-a800-8ca1cda97eb4)
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```python
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import numpy as np
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import matplotlib.pyplot as plt
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# Data for plotting
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t = np.arange(0.0, 2.0, 0.01)
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s = 1 + np.sin(2 * np.pi * t)
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fig, ax = plt.subplots()
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ax.plot(t, s)
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ax.set(xlabel='time (s)', ylabel='voltage (mV)',
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title='About as simple as it gets, folks')
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ax.grid()
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plt.show()
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```
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![png](https://github.com/akashdip2001/ML-Machine-Learning/raw/main/pandas/output_0_0.png)
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| more about [pamdas](https://github.com/akashdip2001/ML-Machine-Learning/tree/main/pandas) |
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|---
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# [numPy](https://github.com/akashdip2001/ML-Machine-Learning/tree/main/numPy)
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#### [documentation](https://numpy.org/doc/stable/reference/)
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```python
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pip install numpy
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python.exe -m pip install --upgrade pip
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pip install jupyter
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```
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| python 10h => |🍭 [SourceCode](https://github.com/akashdip2001/Python-Course-10h) 🍭|🐥 [Notes 10h]() 🐥|❌ [complete Notes](https://www.codewithharry.com/notes/) ❌|
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|-------------------- |-------------------- |-------------------- |-------------------- |
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```html
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7296
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body {
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zoom: 100%; /* Default zoom level */
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}
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<script>
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function isPC() {
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return !/Mobi|Android/i.test(navigator.userAgent);
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}
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function setZoom() {
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if (isPC()) {
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document.body.style.zoom = "150%";
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}
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}
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window.onload = setZoom;
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</script>
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7522
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<div style="text-align: right;">
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<img src="pandas/img/Python-Pandas-logo.png" alt="Pandas Logo" width="300" />
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<div style="font-size: 10px; margin-top: -10px; margin-bottom: 15px;">by Akashdip Mahapatra</div>
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</div>
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```
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