Pinned Repositories
Anti-Money-Laundering-using-Keras
Utilize the deep learning library Keras to classify transactions as fraudulent(1) or non-fraudulent(0).
ATM-Creation
ATM performing various tasks on user accounts (open, delete, modify, perform transactions...).
Decision-Tree
Machine learning for classification: data processing to the decision-tree in png + plot the feature importances
Generating-Metadata-and-Preprocessing
Generate metadata from a .csv or a .json file and pre-process it (dealing with null, normalising...) without external libraries.
heuristics-optimization-algorithms
Using random search, hill climber, iterated local search and an evolutionary algorithm to match colours
Image-classification-using-CNN
Image classification model using Keras framework and its inbuilt functions.
route-calculator-buses
Giving the user the fastest routeto go from point A to B in a bus, direct buses or with connections
Text-Mining
Using regex to extract dates from medical notes.
Web-Scrapping
After using BeautifulSoup, creation of a Pandas dataframe with merge(), plotting and confusion matrix.
Das00130's Repositories
Das00130/Anti-Money-Laundering-using-Keras
Utilize the deep learning library Keras to classify transactions as fraudulent(1) or non-fraudulent(0).
Das00130/Decision-Tree
Machine learning for classification: data processing to the decision-tree in png + plot the feature importances
Das00130/Generating-Metadata-and-Preprocessing
Generate metadata from a .csv or a .json file and pre-process it (dealing with null, normalising...) without external libraries.
Das00130/ATM-Creation
ATM performing various tasks on user accounts (open, delete, modify, perform transactions...).
Das00130/heuristics-optimization-algorithms
Using random search, hill climber, iterated local search and an evolutionary algorithm to match colours
Das00130/Image-classification-using-CNN
Image classification model using Keras framework and its inbuilt functions.
Das00130/route-calculator-buses
Giving the user the fastest routeto go from point A to B in a bus, direct buses or with connections
Das00130/Text-Mining
Using regex to extract dates from medical notes.
Das00130/Web-Scrapping
After using BeautifulSoup, creation of a Pandas dataframe with merge(), plotting and confusion matrix.