https://github.com/97k/ml-projects
Scribbling my ml code/projects here
https://github.com/97k/ml-projects
Last synced: over 1 year ago
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Scribbling my ml code/projects here
- Host: GitHub
- URL: https://github.com/97k/ml-projects
- Owner: 97k
- Created: 2018-04-15T19:49:19.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2018-10-31T16:22:17.000Z (over 7 years ago)
- Last Synced: 2025-01-09T06:28:59.220Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 724 KB
- Stars: 0
- Watchers: 0
- Forks: 1
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# ML-projects
Some small Machine Learning weekends Projects!
## Dating Recommendation System
Two most common type of reccomender systems are Content-Based and Collaborative Filetering.
I used a dating site dataset to reccomend profile a user will like based on the wisdom of crowd (Collaborative Filtering)
This recommendation system showcases both Memory based and Model Based Collaborative Filtering recommender systems. To recommend users both user-user and item-item Recommender System are implemented using cosine similarity and SVD.
Link: [See this ipython notebook for more](https://github.com/aditya98ak/ML-projects/blob/master/Dating_Recommendation.ipynb)
## Twitter Sentiment Analysis
This algorithm can determine sentiment of any word/phrase on tweets of twitter. Twitter tweets for particul word as input by user is downloaded by use of tweepy.
Sentiment Analysis is done by implementing textblob library.
Link: [Source Code](https://github.com/aditya98ak/ML-projects/blob/master/sentiment_analysis.py)