https://github.com/akashdip2001/ml-machine-learning
https://github.com/akashdip2001/ml-machine-learning
machine-learning ml-engineering numpy numpy-tutorial pandas-python pandas-tutorial python python-tutorial
Last synced: 2 months ago
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- Host: GitHub
- URL: https://github.com/akashdip2001/ml-machine-learning
- Owner: akashdip2001
- Created: 2024-07-06T19:56:59.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-06-24T19:19:32.000Z (6 months ago)
- Last Synced: 2025-06-24T19:56:23.459Z (6 months ago)
- Topics: machine-learning, ml-engineering, numpy, numpy-tutorial, pandas-python, pandas-tutorial, python, python-tutorial
- Language: HTML
- Homepage: https://akashdip2001.github.io/ML-Machine-Learning/
- Size: 21.6 MB
- Stars: 7
- Watchers: 1
- Forks: 0
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# ML-Machine-Learning
| 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) ❌|
|-------------------- |-------------------- |-------------------- |-------------------- |
| 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) ❌|
|-------------------- |-------------------- |-------------------- |-------------------- |
---
# Jupyter Notebook // JupyterLab // .ipynb
### Command Mode Shortcuts (press Esc to activate)
- **A**: Insert cell above
- **B**: Insert cell below
- **D, D** (press D twice): Delete selected cell
- **Y**: Change cell to code mode
- **M**: Change cell to markdown mode
- **Shift + Arrow**: Select multiple cells
- **Shift + M**: Merge selected cells
- **Ctrl + Enter**: Run selected cell
- **Shift + Enter**: Run cell and select below
- **Alt + Enter**: Run cell and insert new cell below
### Edit Mode Shortcuts (press Enter to activate)
- **Ctrl + /**: Comment/uncomment selected lines
- **Tab**: Code completion or indent
- **Shift + Tab**: Tooltip (for function arguments)
- **Ctrl + Shift + -**: Split cell at cursor
- **Ctrl + Shift + P**: Command palette (access to all commands)
### Navigation Shortcuts (in both modes)
- **Up Arrow / Down Arrow**: Move up/down one cell
- **Ctrl + Home**: Go to first cell
- **Ctrl + End**: Go to last cell
- **Ctrl + G**: Go to specific cell by number
- **Shift + L**: Toggle line numbers
### Other Useful Shortcuts
- **Esc + F**: Find and replace
- **Esc + O**: Toggle cell output
- **Esc + H**: Show keyboard shortcuts help dialog
- **Esc + I, I**: Interrupt kernel
- **Esc + 0, 0**: Restart kernel
- **Ctrl + Shift + Enter**:Run All Cells
---
# [Pandas](https://github.com/akashdip2001/ML-Machine-Learning/tree/main/pandas)
### Downlod [Pythin](https://www.python.org/downloads/_)
Run Command Prompt as Administrator:
- Right-click on the Command Prompt icon in the Start menu.
- Select "Run as administrator".
- Confirm the User Account Control prompt if prompted.
```python
!pip install pandas
!pip install jupyter
# If you want to install matplotlib as well, uncomment the line below
# !pip install matplotlib
!jupyter notebook --version
```
```
jupyter notebook
```
```python
import numpy as np
import matplotlib.pyplot as plt
# Data for plotting
t = np.arange(0.0, 2.0, 0.01)
s = 1 + np.sin(2 * np.pi * t)
fig, ax = plt.subplots()
ax.plot(t, s)
ax.set(xlabel='time (s)', ylabel='voltage (mV)',
title='About as simple as it gets, folks')
ax.grid()
plt.show()
```
| more about [pamdas](https://github.com/akashdip2001/ML-Machine-Learning/tree/main/pandas) |
|---
# [numPy](https://github.com/akashdip2001/ML-Machine-Learning/tree/main/numPy)
#### [documentation](https://numpy.org/doc/stable/reference/)
```python
pip install numpy
python.exe -m pip install --upgrade pip
pip install jupyter
```
| python 10h => |🍭 [SourceCode](https://github.com/akashdip2001/Python-Course-10h) 🍭|🐥 [Notes 10h]() 🐥|❌ [complete Notes](https://www.codewithharry.com/notes/) ❌|
|-------------------- |-------------------- |-------------------- |-------------------- |
```html
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body {
zoom: 100%; /* Default zoom level */
}
function isPC() {
return !/Mobi|Android/i.test(navigator.userAgent);
}
function setZoom() {
if (isPC()) {
document.body.style.zoom = "150%";
}
}
window.onload = setZoom;
7522
by Akashdip Mahapatra
```