Name: Taher Haggui
Type: User
Company: Software Engineer
Bio: Business mind Data scientist, software engineer.Domain knowledge in manufacturing and logistic.Stack: GCP,JavaScript,python , machine learning, data analysis...
Location: Tunisia
Blog: https://taher-haggui.netlify.app/
Taher Haggui's Projects
Simple site to predict flight delay: https://prediction-retard-avions.herokuapp.com/
Develop an API to suggest tags for a question that would be asked to Stack Overflow site.
Movie recommandation engine who could recommend 5 similars movies to the user , based on his first choice.
My first Data science project: Exploration data analysis
Develop accurate models for the global association Ashrae of metered building energy usage in the following areas: chilled water, electric, hot water, and steam meters. The data comes from over 1,000 buildings over a three-year timeframe.
In this project, we built a basic website that allows users to add/remove books from a list. We achieved that by using JavaScript objects and arrays.
Kaggle competition which intend to accelerate Bengali handwritten optical character recognition: Public accuracy=0.951 Private accuracy=0.889
Bookstore is a website use API to allow users , Display a list of books, add new book and remove selected book.
Car service Webapp where admin can add cars and delete cars. User can navigate smoothly across the differents pages, where he can explore all cars options and details, and make a reservation for a selected item and with his specific details.
Catalog of my things application , is a tool which can help you to keep a record of different types of things you won: books, music albums, movies, and games..
CommonLit, Inc., is a nonprofit education technology organization serving over 20 million teachers and students with free digital reading and writing lessons for grades 3-12. Together with Georgia State University, an R1 public research university in Atlanta, they are challenging Kagglers to improve readability rating methods. In this competition, we had built algorithms to rate the complexity of reading passages for grade 3-12 classroom use. To accomplish this, we had used state of the art machine learning tools with a dataset that includes readers from a wide variety of age groups and a large collection of texts taken from various domains.
Kaggle competition intend to forecast the daily spread of COVID-19 accross many regions in the word over the course between March 25 and April 22 : top 37% (196/544)
New approach , state of the art in order to ameliorate the results obtained in the project titled Perform automatic image indexing.