512 skills found · Page 11 of 18
valentineashio / Online Payments Fraud Detection Dataset Case StudyA Data Science/Machine Learning Project. According to Bolster , Global Fraud Index (as at June 2022) is at 10,183 and growing. This is high risk to businesses and customers transacting online. This indicates that traditional rules-based methods of detecting and combating fraud are fast becoming less effective. It becomes imperative for stakeholders to develop innovative means to make transacting online as safe as possible. Artificial intelligence provides viable and efficient solutions via Machine Learning models/algorithms. In this project, I trained a fraud detection model to predict online payment fraud using Blossom Bank PLC as case study. Blosssom Bank ( BB PLC) is a multinational financial services group, that offers retail and investment banking, pension management, assets management and payment services, headquartered in London, UK. Blossom Bank wants to build a machine learning model to predict online payment fraud. Here is the dataset used for this task. With this model, BB PLC will: Keep up with fast evolving technological threats and better prevent the loss of funds (profit) to fraudsters. Accurately detect and identify anomalies in managing online transactions done on its platforms which may go undetected using traditional rules-based methods. 3.Improve quality assurance thus retaining old customers and acquire new ones. This will increase credit/profit base. Improve its policy and decision making. Steps: 1.Loading necessary python libraries. Loading Dataset. Exploratory Data Analysis. Higlighting Relationships and insights. Data Transformation; Using resampling techniques to address Class-imbalace.. Feature Engineering. Model Training. Model Evaluation. Challenges: I encountered a number of challenges during coding which made me run into error reports. these were due to improper documentations, syntax, especially during feature engineering (one-hot encoding: 'fit.transform'). This aspect consumed most of my time I was able to solve these challenges by making extensive research and paying close attention to syntax. I was able to selve the encoding by using 'pd.get_dummies() and making some specifications in the methods.
amerob / Kaggle For Ml EngineersA systems-first handbook and Python framework for ML engineers. It provides architectural patterns for CV, NLP, and tabular data. Includes production-ready modules for OOF pipelines, safe target encoding, and ensemble stacking.
ColinShaw / Python Keras Encoder Decoder UnetA Keras project with similarly sized encoder-decoder and u-net networks applied to identifying cars
dj51d / CbmcodecsPython codecs for PETSCII encodings
rlucine / GifGIF encoder, decoder, and optimizer written in Python 3
ajitzero / Scram CliA command-line utility to encode messages. Python 3.
deeprob / PssmproA python tool for numerically encoding protein sequences based on PSSM profile
RobSpectre / Caesar CipherA Python package for encoding, decoding and cracking the Caesar shift cipher.
mishakorzik / PyCompileA good compiler and encoder for python.
noaa-ocs-s100 / Nos S100 ToolkitA Python toolkit for downloading NOAA/NOS datasets and encoding in IHO S-100 data formats
abcamiletto / MmitA CV library in python, design and experiment with models using any encoder with any decoder.
psyfb2 / ChatbotConversational AI chatbot with consistent persona. Implementation of Seq2Seq, Transformer and Multiple Encoders in Python. Backend using Flask.
KnugiHK / PyPSSHA lightweight Python tool to extract and base64-encode Widevine and PlayReady PSSH boxes from MP4 init segments. Useful for DRM system diagnostics, media workflow automation, and security testing and research.
cidles / Poio AnalyzerPoio is a collection of software tools for linguists working in language documentation, descriptive linguistics and/or language typology. It allows linguists to manage and analyze their data. The Poio Interlinear Editor allows to add morpho-syntactic annotations to transcriptions. It supports various file formats for input, but will only output standardized XML defined by the Corpus Encoding Standard and the Text Encoding Initiative. Several tools for analyzing linguistic data will be made available to further process annotated data. Poio tools are written in Python and are based on PyQt.
Azim-Vau / AntidcEncodes python script to Anti Uncompyle6 PYC. Private use only!
kichik / PyndefPython NDEF (NFC Data Exchange Format) encoder, decoder and verifier
y-scope / Clp Ffi Pyclp-ffi-py is a Python library to encode log messages with CLP, and work with the encoded messages using a foreign function interface (FFI).
TkTech / Mutf8Pure-python and optional C encoders/decoders for MUTF-8/CESU-8.
robert-ancell / PygifPython encoder and decoder for the GIF file format.
olagrottvik / Encdec8b10bPython module for 8B10B encoding and decoding
