# Machine Learning - Level 1 Module 3 Claire Ran

**URL:** <https://stemaway.com/t/machine-learning-level-1-module-3-claire-ran/8827>\
**Category:** Machine Learning Pipeline (NLP) (CE) 2021\
**Created:** [July 11, 2021, 3:48am UTC](https://stemaway.com/t/machine-learning-level-1-module-3-claire-ran/8827 "2021-07-11T03:48:00Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![clairexiaokeran](https://d2nat51eddc6b4.cloudfront.net/letter_avatar_proxy/v4/letter/c/46344e/32.png) [@clairexiaokeran](https://stemaway.com/u/clairexiaokeran)\
**Post date:** [July 11, 2021, 3:48am UTC](https://stemaway.com/t/machine-learning-level-1-module-3-claire-ran/8827/1 "2021-07-11T03:48:00Z")

</div>

Technical Areas:

- learned load data to csv and json, visualize the data
- watched YouTube video to learn Linear Regression, Logistic Regression,Classification and Regression Trees.
- generated my path to reach the goal- a basic content-based recommender system.
  1. subjectivity classification
  2. polarity classification
  3. specific corpus detection

Tools:

- Jupiter notebook
- VS code
- Numpy/Pandas

Soft Skills:

attending the workshop with my teammate on google meet

Achievement Highlights:

- explore the data and did text pre-processing
- Calculate a distance metric
- train the classification model on data and get accuracy
- testing ensemble methods to see if they improve my accuracy.
