文件列表:

Artificial Intelligence Applications/
Data_Analysis(Advanced)/
Data_Visualization/
Element/
Fun_Tools/
Office_Efficiency/
SQL/
Web_Crawler/
Web_Development_Basics/

# Application of Python ## Nocturne Projects Intro This is a series total of 10 Python class that include vaies of content, taken on 2021. Since this is done 2 year and more ago, I'm reviewing them right now. Below is the course list: *Notes: Some courses complete Course are not updated yet.* ## Courses ### Introductory Python Course **Content**: Cover data operations, conditional judgment, loops, functions, classes, and objects. Complete Course Syllabus&Content(Non-English): *Notes: Reviewed.* ### Data Analysis(Fundamental) **Content**: Introductory course covers NumPy, Pandas, data cleansing, data visualization, and other basic knowledge, whole class is based on Python. Brief Syllabus: | Lesson Number | Topic | |---------------|-------| | Lesson 1 | Step of Data Analysis | | Lessons 2-11 | NumPy and Pandas Basics | | Lessons 12-14 | Data Cleaning | | Lessons 15-18 | Data Visualization Basic | | Lessons 19-20 | Descriptive Analysis | | Lessons 21-23 | Grouping and Aggregation | | Lessons 24-25 | Union and Merge | Complete Course Syllabus&Content(Non-English): **Projects**: Simple Mean Prediction and Moving Mean Prediction for predicting the number of commuters and defaulted companies. *Notes: Reviewed.* ### Data Analysis(Advanced) **Content**: Includes intelligent recommendation (KFM model), association rules, regression analysis, etc. Brief Syllabus: | Lesson Number | Topic | |---------------|-------| | Lesson 1 | Step of Data Analysis | | Lessons 2-6 | Movie Intelligent Recommendation (Collaborative Filtering) | | Lessons 7-9 | Association Analysis and Apriori Algorithm | | Lessons 10-12 | Discretization and Data Binning (R,F,M) | | Lesson 13 | Introduction to Machine Learning | | Lessons 14-16 | Linear Regression Analysis | | Lessons 17-19 | Decision Trees | | Lesson 20 | Cluster Analysis (K-Mean) | | Lessons 21-22 | Basics of Quantitative Trading | | Lessons 23-25 | Timing Strategy | Complete Course Syllabus&Content(Non-English): **Projects**: Simple Mean Prediction and Moving Mean Prediction for predicting the number of commuters and defaulted companies. *Notes: To be reviewed.* ### SQL Data Query and Processing **Content**: Covers basic lookups, aggregation, statistics, multi-table processing, and Python interactions. Brief Syllabus: | Lesson Number | Topic | |---------------|-------| | Lessons 1-5 | Basic Searching | | Lessons 6-9 | Aggregate Statistics | | Lessons 10-16 | Multi-table Processing | | Lessons 17-21 | Python Interaction | | Lessons 22-25 | Comprehensive Application in Practice | Complete Course Syllabus&Content(Non-English): **Projects**: Red Packet Collection Analysis using SQL. *Note: Review in progess.* ### Data Visualization **Content**: Covers comparison and trend, composition and difference, part and whole, location, and density. Brief Syllabus: | Lesson Number | Topic | |---------------|-------| | Lesson 1 | Process and Thought | | Lessons 2-5 | Comparison and Trends | | Lessons 6-7 | Composition and Differences | | Lessons 8-10 | Part and Whole | | Lessons 11-14 | Position and Density | | Lessons 15-17 | Distribution and Circulation | | Lessons 18-23 | Connection and Correlation | | Lessons 24-25 | Summary and Extension | Complete Course Syllabus&Content(Non-English): **Projects**: Various visualizations including pie charts, rose charts, histograms, heat maps, horizontal bar charts, distribution maps, radar charts, and relationship graphs. *Notes: To be review.* ### Artificial Intelligence Applications **Content**: Covers natural language processing, image recognition, face recognition, text recognition, speech recognition (using API). Brief Syllabus: | Lesson Number | Topic | |---------------|-------| | Lesson 1 | Introduction to Artificial Intelligence | | Lessons 2-6 | Natural Language Processing | | Lessons 7-10 | Image Recognition | | Lessons 11-14 | Face Recognition | | Lessons 15-16 | Text Recognition | | Lessons 17-22 | Speech Recognition | | Lesson 23 | Speech Synthesis | | Lessons 24-25 | API Use Tutorial | Complete Course Syllabus&Content(Non-English): **Projects**: Face detection in images, mask detection by using API. *Notes: To be review.* --- ## Other Course *Notes: To be review.* ### Web Crawler **Content**: Covers web page requests and parsing, text crawling, image crawling, anti-crawling strategies. Complete Course Syllabus&Content(Non-English): **Projects**: Property listing analysis using crawler technology. ## Web Development Basics **Content**: HTML basics, CSS basics, content grouping, layout and advanced Complete Course Syllabus&Content(Non-English): **Projects**: Draw a doraemon. ## Fun Tools **Content**: Covers QR code tools, drawing tools, PPT tools, design tools, expression tools, translation tools, automatic tools Complete Course Syllabus&Content(Non-English): **Projects**: Randomly selects a lucky person in the group photo. ## Office Efficiency **Content**: Covers automatic classification of files, reading and classifying photo information, reading and writing Excel, Word, PDF documents, comprehensive office applications Complete Course Syllabus&Content(Non-English): **Projects**: Read into a folder include Word, excel and pdf file, find phone number and add to list. --- For more details about the projects in each course, please see the respective folders. This course is taken at Baicizhan. For more information, please go to [np.baicizhan.com](http://np.baicizhan.com) (Non-English Site).

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