# [107-2 Python 機器學習與深度學習入門](https://scontent-hkg3-1.xx.fbcdn.net/v/t1.0-9/52407156_10216472800545058_736531524840587264_n.jpg?_nc_cat=101&_nc_ht=scontent-hkg3-1.xx&oh=d164028e0caf1eea2df1cc52d02d1957&oe=5D27CA49)

## [TO DO LIST](https://hackmd.io/s/rk-ehrjYN)

## 課程相關
- [課綱](https://nol.ntu.edu.tw/nol/coursesearch/print_table.php?course_id=V41%20U5020&class=&dpt_code=V410&ser_no=31138&semester=107-2&lang=CH)
- [課程 Github](https://github.com/yenlung/AI_Math?fbclid=IwAR2QMhKr83xDLhAnoo1TY3ci0_-wszMAWMGxkQ7LUQ-oOKlQ-Ke1nmtkOa8)[target=_blank]

- [課程講義](https://docs.google.com/viewer?srcid=1xhRcDV_pnfDnNvN74I0n52SIpSi70vpg&pid=explorer&efh=false&a=v&chrome=false&embedded=true)

- [課程直播 YouTube](https://www.youtube.com/playlist?list=PLQZfZKhc0kiAn7xGZ-WKkwQyseO8SbVR0)[target=_blank]

## 課堂直播與筆記

- [第一週 <br> 課程進行方式/<br>確認自己的工作環境/<br>機器學習的數學概念 ](https://hackmd.io/s/SyuSI7aBN)
- [第二週 <br> Python 資料分析主流環境 Jupyter](/1PCmaRpcSDWlQlDUykZe6g)

### Jupyter Notebook
- [01. 用 Python 畫個圖.ipynb](https://nbviewer.jupyter.org/github/yenlung/AI_Math/blob/master/01.%20用%20Python%20畫個圖.ipynb)
- [02. Python 101.ipynb](https://nbviewer.jupyter.org/github/yenlung/AI_Math/blob/master/02.%20Python%20101.ipynb)
- [03. Python 資料分析主流環境 Jupyter.ipynb](https://nbviewer.jupyter.org/github/yenlung/AI_Math/blob/master/03.%20Python%20資料分析主流環境%20Jupyter.ipynb)
## 作業

- [作業 Github](https://github.com/ttt50966/Introduction-to-Machine-Learning-and-Deep-Learning-with-Python-)[target=_blank]

- [第一週 Q1-1 畫個圖](https://nbviewer.jupyter.org/github/ttt50966/Introduction-to-Machine-Learning-and-Deep-Learning-with-Python-/blob/master/Week%201_Q1-1_Plotting.ipynb)
- [第一週 Q1-2 自己出題目](https://nbviewer.jupyter.org/github/ttt50966/Introduction-to-Machine-Learning-and-Deep-Learning-with-Python-/blob/master/Week%201_Q1-2_Resonance%20and%20Linewidth.ipynb)

- [第二週 Q2-1 Jupyter 有趣互動](https://nbviewer.jupyter.org/github/ttt50966/Introduction-to-Machine-Learning-and-Deep-Learning-with-Python-/blob/master/Week%202_Q2-1_Sea%20Level.ipynb?fbclid=IwAR2CSKh03KM4PhzE5EYEYAS_hAREMvgxlmmGl96o1hdcvkOo_fNuhEc9ITk)

- [第三週 Q3-2 去除高頻雜訊](https://nbviewer.jupyter.org/github/ttt50966/Introduction-to-Machine-Learning-and-Deep-Learning-with-Python-/blob/master/Week%203_Q3-2_Remove%20high%20frequency%20noise.ipynb)

- [第四週 Q4-2 物理系用電量](https://nbviewer.jupyter.org/github/ttt50966/Introduction-to-Machine-Learning-and-Deep-Learning-with-Python-/blob/master/Week%204_Q4-1_Power%20Consumption.ipynb)

- [第五週 Q5-1 YouTube頻道分析](https://nbviewer.jupyter.org/github/ttt50966/Introduction-to-Machine-Learning-and-Deep-Learning-with-Python-/blob/master/Week%205_Q5-1_YouTube%20Analysis.ipynb)

## 其他練習
- [體育署救生員分析](https://github.com/ttt50966/Lifeguard-analysis)[target=_blank]
- [Jupyter notebook](https://nbviewer.jupyter.org/github/ttt50966/Lifeguard-analysis/blob/master/Analysis.ipynb)
- [實驗室用電量分析](https://github.com/ttt50966/Power-Usage-of-Lab)[target=_blank]
- [Jupyter Notebook](https://nbviewer.jupyter.org/github/ttt50966/Power-Usage-of-Lab/blob/master/實驗室用電量分析.ipynb)

## 參考資料

- [Python 畫圖 (Jupyter notebook)](https://nbviewer.jupyter.org/github/yenlung/Math-in-Jupyter/blob/master/%E6%9B%B2%E7%B7%9A%E5%92%8C%E6%9B%B2%E9%9D%A2%E7%9A%84%E7%95%AB%E5%9C%96.ipynb?fbclid=IwAR01lIMDTF_HGq-bWTIerAavQqK3YUviDaZ7-a-YI_dDTfsx4k_JrQ4LEzM)
- [成為python數據分析達人的第一課](http://moocs.nccu.edu.tw/course/123/intro)
- [磨課師課程 Github](https://github.com/yenlung/Python-3-Data-Analysis-Basics)[target=_blank]
- [Hung-yi Lee](http://speech.ee.ntu.edu.tw/~tlkagk/talk.html)

###### tags: `Python 機器學習與深度學習`