bkomaki Goto Github PK

ai_collabfiles

Hey fellow learners, This repository contains all of the practice / reference notebooks that I have worked on while learning artificial intelligence. If you do find it useful, give this repository a star and if you encounter any improvements or problems with the notebooks just submit an issue I'll assign it to you.

algorithmic-trading-with-python

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

alpaca_tech_screener

alphapy

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

analytic-study-of-climate-change

This is an analytic study using Google Earth Engine in order to find climate changes in India. This is done as a part of Engineering Economics.

archon

Trading framework

backtrader-for-backtesting

These are the code snippets used in the Backtrader for backtesting guide on the AlgoTrading101 website

bitcointradingalgorithmtoolkit

A framework for logging, simulating, and analyzing prices of currencies on various exchanges using technical analysis, fuzzy logic, and neural networks.

climate_check

Check for climate change using Sweden's air temperature since 1722

colab-readme.txt

Colab Learning Course in Persian

colab_earthengine

Python colab earthengine

data-science

Data Science Models for Regression, Classification and Clustering

deafrica-sandbox-notebooks

Repository for Digital Earth Africa Sandbox, including: Jupyter notebooks, scripts, tools and workflows for geospatial analysis with Open Data Cube and xarray

deep-belief-network

A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

drought_prediction

Forecasted monthly rainfall using Time Series Models and converted the data into drought indices (SPI and SPAI) to predict future drought.

earthengine-py-examples

A collection of 300+ examples for using Earth Engine and the geemap Python package

earthengine-py-notebooks

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

ee-code-editor-archive

Unsorted archived Earth Engine scripts

eewpython

A series of Jupyter notebook to learn Google Earth Engine with Python

five-minute-midas

Predicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | Streamlit

freqtrade-strategies

Trading Strategies for Freqtrade

gee-changedetection

Google Earth Engine Change Detection Algorithm for deforestation monitoring

hands-on-financial-trading-with-python

Hands-On Financial Trading with Python, published by Packt

hyperparameter-optimization-of-machine-learning-algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

kucoin-futures-python-sdk

kucointrailingstoploss

lean

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

legitindicators

Collection of indicators that I used in my strategies.

lstm-crypto-price-prediction

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot