Pinned Repositories
Asset-Backed-Security-Modeling
ScriptUni Python in Finance Certificate Final Project
backtrader
Python Backtesting library for trading strategies
bamboo
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
boosting-presentation
Presentation on Gradient Boosting
bt
bt - flexible backtesting for Python
Capstone-Project
Predicting stock market movement with EDA and Keras
concurrency2019
Examples and exercises for a workshop on Python Concurrent Programming
Credit-application
Simulation of taking a loan
PySparkBigDataFundamentals
DataCamp course and notes
nick-st's Repositories
nick-st/Asset-Backed-Security-Modeling
ScriptUni Python in Finance Certificate Final Project
nick-st/backtrader
Python Backtesting library for trading strategies
nick-st/bamboo
nick-st/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
nick-st/bt
bt - flexible backtesting for Python
nick-st/Customer-Loan-Application-and-Management-System
A web-based loan information system built in Codeigniter
nick-st/dsc-gradient-boosting-and-weak-learners
nick-st/eiten
Statistical and Algorithmic Investing Strategies for Everyone
nick-st/explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
nick-st/fabric-samples
Samples for Hyperledger Fabric
nick-st/fail2ban
Daemon to ban hosts that cause multiple authentication errors
nick-st/google-drive-ocamlfuse
FUSE filesystem over Google Drive
nick-st/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
nick-st/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
nick-st/ib-gateway-docker
Interactive Brokers Trading Gateway running in Docker
nick-st/ib_insync
Python sync/async framework for Interactive Brokers API
nick-st/Interactive-Dashboards-and-Data-Apps-with-Plotly-and-Dash
Interactive Dashboards and Data Apps with Plotly and Dash, published by Packt
nick-st/ipfn
Iterative Proportional Fitting for Python with N dimensions
nick-st/pysystemtrade
Systematic Trading in python
nick-st/python_install
python3.8 build from source on Ubuntu 21.04
nick-st/pytorch-lambda
Deploying a (containerized) Pytorch model to AWS Lambda with ECR (Container Registry)
nick-st/shap-hypetune
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
nick-st/State-zip-code-GeoJSON
Zip code boundaries for each of the 50 states
nick-st/stock-trading-ml
A stock trading bot that uses machine learning to make price predictions.
nick-st/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
nick-st/T14AMD5850U
Store the logs from random reboots
nick-st/TFUdemy
nick-st/tldr
📚 Collaborative cheatsheets for console commands
nick-st/workshop_production_delta
Production Delta Workshop Resources
nick-st/zipline
Zipline, a Pythonic Algorithmic Trading Library