1) Data Collection from (https://www.mockaroo.com/).
2) Data Preprocessed.
1) Built a reccomendation model from scratch.
1) Added a column ("USERNAME") in the dataset.
2) Changed the function for better reccomendation.
1) Added a dropdown list to restrict User Independence,and minimize the Upper-Lowercase and Spelling errors.
1) Created a Decission tree (0.25% Accuracy).
2) Used NLP (Term Frequency , IDF). Label Encoder error yet to be solved.
- Label Encoder error solved.
- PowerBI dashboard Created.
- Flask integrated in the code.
- Orange Flask integrated in the code with working.
- New dataset created (MOCK_data.csv)
- Flask model has been integrated changes to now display all the columns (College,City,Phone,Email).