Notice
Recent Posts
Recent Comments
Link
| 일 | 월 | 화 | 수 | 목 | 금 | 토 |
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| 13 | 14 | 15 | 16 | 17 | 18 | 19 |
| 20 | 21 | 22 | 23 | 24 | 25 | 26 |
| 27 | 28 | 29 | 30 |
Tags
- Naive Bayes example
- sweet spot in fitting
- Pararel Computing
- distributed training
- plot color
- machine learning
- level of negative
- online machine learning
- ML
- productivity
- color and data
- color theory
- root of the word
- bias vs variance
- variance bias
- NO TYPO
- Deep Learning
- plotting
- utilize
- Apache Beam
- level of positive
- Learn from mistake
- API
- tensorflow
- pandas
- Insight
- level of emotion
- Data Distribution
- NLP
- negotiate
Archives
- Today
- Total
How much am I expressed through the data
How to better use Google Colab 본문
https://towardsdatascience.com/10-tips-for-a-better-google-colab-experience-33f8fe721b82
10 tips for a better Google Colab experience
Keep calm and save time thanks to the following tips and tricks
towardsdatascience.com
I will summarize the article and list the things that helped me the most.
'Programming > Python' 카테고리의 다른 글
| Library, Module (0) | 2021.12.23 |
|---|---|
| shift optimization coding (0) | 2021.10.18 |