• It predicts the price of a laptop by providing necessary details of the laptop a person needs like
- Company
- Processor
- RAM
- Memoory size & type(SSD, HDD)
- OS
- Screen Resolutions
• Packages used: Pandas, NumPy, Scikit, seaborne.
• For website used streamline with local hosts.
• Used language: python
I was given the data of employees with there work timing, leads and other necessary details. I had to analyse there working pattern and find out the prediction for next month. Also based on the graphs and dashboard I need to suggest the ideas for increasing the productivity.
Objective The objective of this assignment is to extract textual data articles from the given URL and perform text analysis to compute variables that are explained below. For each of the articles, given in the input.xlsx file, extract the article text and save the extracted article in a text file with URL_ID as its file name. While extracting text, please make sure your program extracts only the article title and the article text. It should not extract the website header, footer, or anything other than the article text. Look for these variables in the analysis document (Text Analysis.docx): -POSITIVE SCORE -NEGATIVE SCORE -POLARITY SCORE -SUBJECTIVITY SCORE -AVG SENTENCE LENGTH -PERCENTAGE OF COMPLEX WORDS -FOG INDEX -AVG NUMBER OF WORDS PER SENTENCE -COMPLEX WORD COUNT -WORD COUNT -SYLLABLE PER WORD -PERSONAL PRONOUNS -AVG WORD LENGTH