Popular repositories

1. Unet-denoising-tool-for-textbook-images-UDM- Unet-denoising-tool-for-textbook-images-UDM- Public

   This tool will use a pre-trained Unet model to remove grids, grey background and noise from writing and equations in textbook type papers (with diffent types of grids)

   Python 3 1

2. Data-science-project-for-parcel-expedition-delays Data-science-project-for-parcel-expedition-delays Public

   An academic projet that I took a bit too seriously, the goal was to strat from a seemingly sterile dataset and forge it into a usable dataset with very strong features that would allow a machine/de…

   Jupyter Notebook 2

3. Predict-online-shopping-intentions-using-machine-learning-and-deep-learning-approaches Predict-online-shopping-intentions-using-machine-learning-and-deep-learning-approaches Public

   This was a project that I worked on during my 4th year in an engineering school, the goal was to use machine and deep learning methods to not only predict if the operation will result in a purchase…

   Jupyter Notebook 1

4. Tool-for-making-noisy-images-and-their-masks-for-Unet-appliation- Tool-for-making-noisy-images-and-their-masks-for-Unet-appliation- Public

   While working on a Unet project, I created a program that can be used to add noise, a random grid (textbook) and a random shade of grey , this tool will output (depending on witch variation) combin…

   Python 1

5. Data_Science_Project_Expedition_Delay_Prediction Data_Science_Project_Expedition_Delay_Prediction Public

   A project given by a very experienced data-scientist, the goal was to work on a dataset with seemingly useless features and extract useful ones from them. the focus was not on the models as they we…

   Jupyter Notebook 1

6. Deep_Learning_For_Loan_Approval Deep_Learning_For_Loan_Approval Public

   This was a project that I worked on during my 4th year, the goal was to look for the best dataset that could be used for credit loan approval, we had to clean, feature engineer and then clean the d…

   Jupyter Notebook 1