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👉 สวัสดีเพื่อน ๆ ทุกคนจ้า วันนี้แอดจะพาเพื่อน ๆ มาลอง Plot Graph เพื่อทำ Data Visualization ด้วย Library จาก Python นั่นคือเจ้า Seaborn นั่นเอง !!
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🌈 มาดูกันว่าแต่ละกราฟนั้นใช้ทำอะไร และมีวิธีการ Plot เบื้องต้นอย่างไร หากพร้อมแล้วไปดูกันโลดดด !!
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borntoDev - 🦖 สร้างการเรียนรู้ที่ดีสำหรับสายไอทีในทุกวัน
ในวิชา "วิทยาการคำนวณ" ระดับชั้น ม. 5
ได้ดึงวิชา data science (วิทยาศาสตร์ข้อมูล)
มาปูพื้นฐานให้เด็กๆ ได้เรียนกันแล้ว นับว่าเป็นโชคดี
เพราะวิชาพวกนี้เป็นของสูง กว่าจะสัมผัสก็คงตอนป.ตรี โท เอก
...Continue ReadingIn the subject of ′′ Calculation Theology ′′ class. 5
Pulled data science (data science)
Let's master the foundation for kids to learn. It's considered lucky.
Because these subjects are high to touch. It's probably in the middle of the year. Tri To Aek
Which I will review the content to read roughly. The content is divided into 4 chapters.
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👉 ++++ Chapter 1-Information is valuable +++++
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Data science in the textbook. Used by Thai name as ′′ Information Science ′′
This chapter will mention Big Data or big data with lots of valuable information.
And so much role in this 4.0 s both public and private sector.
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If you can't imagine when you played Google search network, you'll find a lot of information that you can use in our business. This is why data science plays a very important role.
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It's not surprising that it makes the Data Scientist s' career (British name data scientist) play the most important role and charming and interesting profession of the 21th century.
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Data science, if in the book, he defines it
′′ Study of the process, method or technique to process enormous amounts of data to process to obtain knowledge, understand phenomena, or interpret prediction or prediction, find out patterns or trends from information.
and can be analysed to advise the right choice or take decision for maximum benefit
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For Data science work, he will have the following steps.
- Questioning my own interest.
- Collect information.
- Data Survey
- Data Analysis (analyze the data)
- Communication and Results Visualization (Communicate and visualize the results)
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🤔 Also he talks about design thinking... but what is it?
Must say the job of a data scientist
It doesn't end just taking the data we analyzed.
Let's show people how to understand.
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The application design process is still required.
To use data from our analytics
The word design thinking is the idea. The more good designer it is.
Which Data Scientists Should Have To Design Final Applications
Will meet user demand
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👉 ++++ Chapter 2 Collection and Exploration +++++
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This chapter is just going to base.
2.1 Collection of data
In this chapter, I will talk about information that is a virtual thing.
We need to use this internet.
2.2 Data preparation (data preparation)
Content will be available.
- Data Cleaning (data cleansing)
- Data Transformation (data transformation)
In the university. 5 is not much but if in college level, you will find advanced technique like PCA.
- Info Link (combining data)
2.3 Data Exploration (data exploration)
Speaking of using graphs, let's explore the information e
Histogram graph. Box plot diagram (box plot). Distributed diagram (scatter plot)
With an example of programming, pulls out the plot to graph from csv (or xls) file.
2.4 Personal Information
For this topic, if a data scientist is implementing personal data, it must be kept secret.
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Where the issues of personal information are now available. Personal Data Protection is Done
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👉 ++++ Chapter 3 Data Analysis ++++
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Divided into 2 parts:
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3.1 descriptive analysis (descriptive analytics)
Analyzing using the numbers we've studied since
- Proportion or percentage
- Medium measurement of data, average, popular base.
Correlation (Correlation) relationship with programming is easy.
.
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3.2 predictive analysis (predictive analytics)
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- numeric prediction is discussed. (numeric prediction)
- Speaking of technique linear regression, a straight line equation that will predict future information.
Including sum of squared errors
Let's see if the straight line graph is fit with the information. (with programming samples)
- Finally mentioned K-NN (K-Nearest Neighbors: K-NN) is the closest way to finding K-N-Neighborhood for classification (Category)
*** Note *****
linear regression กับ K-NN
This is also an algorithm. One of the machine learning (machine learning, one branch of AI)
Kids in the middle of the day, I get to study.
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👉 +++ Chapter 4 Making information pictured and communicating with information +++
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This chapter doesn't matter much. Think about the scientist after analyzing what data is done. The end is showing it to other people by doing data visualization. (Better summoning)
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In contents, it's for example using a stick chart, line chart, circular chart, distribution plan.
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The last thing I can't do is tell a story from information (data story telling) with a message. Be careful when you present information.
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*** this note ***
😗 Program language which textbooks mentioned and for example.
It's also python and R language
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For R language, many people may not be familiar.
The IT graduate may be more familiar with Python.
But anyone from the record line will surely be familiar.
Because R language is very popular in statistical line
And it can be used in data science. Easy and popular. Python
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But if people from data science move to another line of AI
It's deep learning (deep learning)
Python will be popular with eating.
.
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#########
😓 Ending. Even I wrote a review myself, I still feel that.
- The university. 5 is it going to be hard? Can a child imagine? What did she do?
- Or was it right that I packed this course into Big Data era?
You can comment.
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But for sure, both parents and teachers are tired.
Because it's a new content. It's real.
Keep fighting. Thai kids 4.0
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Note in the review section of the university's textbook. 4 There will be 3 chapters. Read at.
https://www.facebook.com/programmerthai/photos/a.1406027003020480/2403432436613260/?type=3&theater
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++++++++++++++++++++
Before leaving, let's ask for publicity.
++++++++++++++++++++
Recommend the book ′′ Artificial Intelligence (AI) is not difficult ′′
It can be understood by the number. End of book 1 (Thai language content)
Best seller ranked
In the MEB computer book category.
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The contents will describe Artificial Intelligence (A) in view of the number. The end.
Without a code of dizzy
With colorful illustrations to see, easy to read.
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If you are interested, you can order.
👉 https://www.mebmarket.com/web/index.php?action=BookDetails&data=YToyOntzOjc6InVzZXJfaWQiO3M6NzoiMTcyNTQ4MyI7czo3OiJib29rX2lkIjtzOjY6IjEwODI0NiI7fQ&fbclid=IwAR11zxJea0OnJy5tbfIlSxo4UQmsemh_8TuBF0ddjJQzzliMFFoFz1AtTo4
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Personal like the book. You can see this link.
👉 https://www.dropbox.com/s/fg8l38hc0k9b0md/chapter_example.pdf?dl=0
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Sorry, paper book. I don't have it yet. Sorry.
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✍ Written by Thai programmer thai progammerTranslated
這門課程是關於資料結構和演算法。 課程將用 Python 來實現
在課程的第一部分，將學習基本的資料結構，例如連結串列 ( linked lists )、堆疊 ( stacks )、佇列 ( queues )、二元搜索樹 ( binary search tress )、堆積 ( heaps ) 和一些進階的，如 AVL 樹和紅黑樹。
第二部分將關於圖形生成樹 ( spanning trees )、最短路徑演算法和圖形走訪 ( graph traversing ) 等演算法。
https://softnshare.com/python-algorithms-data-structures/
ดาวน์โหลด Jupyter Notebook ที่ใช้ในคลิปได้ที่ ► http://bit.ly/2FHFUpq
เชิญสมัครเป็นสมาชิกของช่องนี้ได้ที่ ► https://www.youtube.com/subscription_center?add_user=prasertcbs
สอน seaborn ► https://www.youtube.com/playlist?list=PLoTScYm9O0GGC9QvLlrQGvMYatTjnOUwR
สอน Python สำหรับ data science ► https://www.youtube.com/playlist?list=PLoTScYm9O0GFVfRk_MmZt0vQXNIi36LUz
สอน Jupyter Notebook ► https://www.youtube.com/watch?v=f3CLdRl-zyQ&list=PLoTScYm9O0GErrygsfQtDtBT4CloRkiDx
สอน matplotlib ► https://www.youtube.com/playlist?list=PLoTScYm9O0GGRvUsTmO8MQUkIuM1thTCf
สอนภาษาไพธอน Python เบื้องต้น ► https://www.youtube.com/watch?v=DI7eca5Kzdc&list=PLoTScYm9O0GH4YQs9t4tf2RIYolHt_YwW
สอนภาษาไพธอน Python OOP การเขียนโปรแกรมเชิงวัตถุ ► https://www.youtube.com/watch?v=4bVBSluxJNI&list=PLoTScYm9O0GF_wbU-7layLaSuHjzhIRc9
สอน Python 3 GUI ► https://www.youtube.com/playlist?list=PLoTScYm9O0GFB1Y3cCmb9aPD5xRB1T11y
สอนการใช้งานโปรแกรม R: https://www.youtube.com/watch?v=UaEtZ5XzVeE&list=PLoTScYm9O0GGSiUGzdWbjxIkZqEO-O6qZ
สอนการเขียนโปรแกรมภาษา R: https://www.youtube.com/playlist?list=PLoTScYm9O0GF6qjrRuZFSHdnBXD2KVICp
#prasertcbs_seaborn #prasertcbs_ds #prasertcbs_pandas
硬核的知識也許不是每個工程師都能夠在職涯發展中完全運用到，但無論是本科系、轉職、自學成為工程師的朋友，都應該要知道，這些紮實的背景知識提早學習起來，在未來的日子裡，只有好沒有壞。
就透過本影片我的真實經驗分享，告訴你這些我在大學時期看似枯燥乏味的理論，其實就是程式設計內功，而日後沉睡已久的內功卻又恰巧的在職涯旅途中碰上用處。
章節:
00:00 學這些有用嗎
00:52 我與速成班的距離
04:45 業務增長後的影響
06:36 基本功知識科普
喜歡影片的話！可以幫忙點個喜歡以及分享、訂閱唷！😘
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🌟 任何問題或合作邀約信箱: niclin0226@gmail.com
#資料結構 #演算法 #計算機概論 #前端 #後端 #工程師
การสร้าง boxplot ที่แต่ละรูปจะมาจากข้อมูลในแต่ละคอลัมน์แยกจากกัน
1:53 สร้าง boxplot จากคอลัมน์ใน DataFrame
2:46 การใช้ subplots ในการสร้าง boxplot หลายรูปพร้อม ๆ กัน
4:13 การระบุจำนวนแถวและคอลัมน์ที่จะแสดงใน supbplots
7:25 การใช้ str.match ในการเลือกคอลัมน์
8:08 การใช้ select_dtypes ในการเลือกเฉพาะคอลัมน์ที่เป็นตัวเลข
ดาวน์โหลด Jupyter Notebook ที่ใช้ในคลิปได้ที่ ► http://bit.ly/2syPzYR
เชิญสมัครเป็นสมาชิกของช่องนี้ได้ที่ ► https://www.youtube.com/subscription_center?add_user=prasertcbs
สอน Jupyter Notebook ► https://www.youtube.com/playlist?list=PLoTScYm9O0GErrygsfQtDtBT4CloRkiDx
สอน Python สำหรับ data science ► https://www.youtube.com/playlist?list=PLoTScYm9O0GFVfRk_MmZt0vQXNIi36LUz
สอน Pandas ► https://www.youtube.com/playlist?list=PLoTScYm9O0GGsOHPCeufxCLt-uGU5Rsuj
สอน Numpy ► https://www.youtube.com/playlist?list=PLoTScYm9O0GFNEpzsCBEnkUwgAwOu_PWw
สอน matplotlib ► https://www.youtube.com/playlist?list=PLoTScYm9O0GGRvUsTmO8MQUkIuM1thTCf
สอน seaborn ► https://www.youtube.com/playlist?list=PLoTScYm9O0GGC9QvLlrQGvMYatTjnOUwR
สอนภาษาไพธอน Python เบื้องต้น ► https://www.youtube.com/playlist?list=PLoTScYm9O0GH4YQs9t4tf2RIYolHt_YwW
สอนภาษาไพธอน Python OOP ► https://www.youtube.com/playlist?list=PLoTScYm9O0GEIZzlTKPUiOqkewkWmwadW
สอน Python 3 GUI ► https://www.youtube.com/playlist?list=PLoTScYm9O0GFB1Y3cCmb9aPD5xRB1T11y
สอนการใช้งานโปรแกรม R: https://www.youtube.com/playlist?list=PLoTScYm9O0GGSiUGzdWbjxIkZqEO-O6qZ
สอนภาษา R เบื้องต้น ► https://www.youtube.com/playlist?list=PLoTScYm9O0GF6qjrRuZFSHdnBXD2KVIC
#prasertcbs_datascience #prasertcbs #prasertcbs_pandas
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