Loan Qualifier Application Built With Python

This program is designed to automate the discovery process and allow the applicant to locate the best personalized bank lending programs based on their own individualized loan criteria.It will allow applicants to download results as a csv file and import to a spreadsheet. Technologies This project leverages python 3.7.10 with the following packages: *questionary 0.2.5 Installation Guide Before running the application first install the following dependencies.

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Customer segmentation with rfm

Business Problem : An e-commerce company wants to segment its customers and determine marketing strategies according to these segments. Method : RFM : Recency, frequency, monetary value used to identify organization’s best customers by measuring and analyzing spending habits. Data Set : Online Retail II data set includes the sales of a UK-based online store between 01/12/2009 – 09/12/2011. Variable: InvoiceNo – Invoice Number If this code starts with C, it means that the operation has been cancelled.StockCode – Product […]

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Book Item Based Collaborative Filtering

Collaborative filtering methods are used to determine a user’s level of interest in any product and to make recommendations by filtering products accordingly. Product-based filtering, on the other hand, is a method that detects product similarities based on user votes. That is to say, for example, there are movies that show a similar liking structure with a movie that the person watches by being removed from being an object of the method. Similar movies can be found by finding similar […]

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Cricket game using PYQT

This is a Fantasy cricket Desktop application build in python that allows user to build their own dream cricket team , analyse it and play !!!….Isn’t it exciting….. Table of Contents You’re sections headers will be used to reference location of destination. Description Fanatsy cricket is build in python using Pyqt5 library specifically QtCore QtGui QtWidgets for GUI development and SqliteStudio for Back end database connectivity. Use of Badges Features Create your own dream team in Auction Save your team […]

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Tracing service for spaceteam events

Tracing service for TU Wien Spaceteam events. This service is a special adaption ofSpace Trace. Getting started Install Python3.8 (or higher), zbar, popper, libxml2 Install all dependencies with: python3 -m venv venv source venv/bin/activate pip install -r requirements.txt export FLASK_APP=space_trace FLASK_ENV=development flask run This launces a simple webserver which can only be accessed from the localhost. Note: Don’t use this server in production, it is insecure and lowperformance. Deployment How we deploy this app on Ubuntu. Install the requirements with: […]

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Discord bot that fetches cryptocurrency prices utilizing CoinGeko API

Discord bot that fetches and monitors cryptocurrency prices utilizing CoinGeko API. For any help message fatal#9999 on discord. Requirements Python modules needed: discord, asyncio, time, os, pycoingecko, dotenv pip install discord asyncio time os pycoingecko dotenv First you will need to create a free Discord server. Next, create a new application on the Discord developer portal by clicking the button in the top right corner at https://discord.com/developers/applications. Click into the Bot menu item. You can name your bot and give […]

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Deploy Your Python Script on the Web With Flask

You wrote a Python script that you’re proud of, and now you want to show it off to the world. But how? Most people won’t know what to do with your .py file. Converting your script into a Python web application is a great solution to make your code usable for a broad audience. In this course, you’ll learn how to go from a local Python script to a fully deployed Flask web application that you can share with the […]

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GNAT is NOT Algorithmic Trading

GNAT GNAT is NOT Algorithmic Trading! GNAT is a financial tool with two goals in mind: To provide a dashboard with the detailed stock/crypto information of your choice. To provide confidence in the Harvest framework which GNAT heavily relies on. How to use pip install -r requirements.txt python gnat.py -OR- python gnat.py my_config.yaml Input the requested information and then go to localhost:8050 to see the dashboard. How it works On start, GNAT asks the user what assets they want to […]

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Malicious shortcut generator for collecting NTLM hashes from insecure file shares

Lnkbomb is used for uploading malicious shortcut files to insecure file shares. The vulnerability exists due to Windows looking for an icon file to associate with the shortcut file. This icon file can be directed to a penetration tester’s machine running Responder or smbserver to gather NTLMv1 or NTLMv2 hashes (depending on configuration of the victim host machine). The tester can then attempt to crack those collected hashes offline with a tool like Hashcat. The payload file is uploaded directly […]

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Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm

This is the Pytorch implementation for sparse progressive distillation (SPD). For more details about the motivation, techniques and experimental results, refer to our paper here. Environment Preparation (using python3) pip install -r requirements.txt Dataset Preparation The original GLUE dataset could be downloaded here. We use finetuned BERT_base as the teacher. For each task of GLUE benchmark, we obtain the finetuned model using the original huggingface transformers code with the following script.

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