DS 学习 - 打卡贴【欢迎指教】

lz现在去哪上班了？很佩服你的毅力

4.27-5.1

http://www.nltk.org/book/
3. Processing raw text
4. Writing structured programs

. 1point3acresCoursera Stanford NLP course:
Hw #3 Sentiment analysis

Leetcode p123, 124

5.1-5

http://www.nltk.org/book/
5. Categorizing and Tagging Words

Coursera Stanford NLP course:
Hw #4 Sentiment analysis, Boolean Naive Bayes, SVM, negation features

www.Kaggle.com
Bag of words meets bags of popcorn, part 1 For beginners bag of words

5.6-5.15
http://www.nltk.org/book
6. Learning to Classify Text

Coursera JHU Data Science Capstone
Week 2 Exploratory Data Analysis and Modeling

5.16-5.21
http://www.nltk.org/book
7. Extracting information: Tag patterns, Chunker, Nested structure, Named entity recognition, Relation extraction

"Web Scraping with Python" by Ryan Mitchell
1. Web scraper, BeautifulSoup
2. HTML parsing
3. Crawler, Scrapy
4. APIs

5.22-6.1, 2017

http://www.nltk.org/book
8.1-3 Syntax, context free grammar

Read "Web Scraping with Python" by Ryan Mitchell
5. Store data to CSV, MySQL
6-8.  Read documents, clean data

Read Book "Data Science in R: A Case Studies Approach to Computational Reasoning and Problem solving"
Ch 12. Exploring data science jobs with web scraping and text mining

Scrape Kaggle job list

给楼主大大大大的赞！！！

6.2-6.9, 2017

analyze data scientist job ads on kaggle and career builder

楼主加了个油~！！！！！！！！！！！！

感谢楼上几位的鼓励，从今天起恢复正常学习。

6/10-6/22
www.kaggle.com  Bag of Words Meets Bags of Popcorn
sentiment analysis, word2vec, clustering