hmavrodiev's repositories
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-public-datasets
A topic-centric list of HQ open datasets. PR ☛☛☛
cryptotrader
This is an experimental trading bot framework written in PHP. It may contain bugs and should not be trusted with much money
Data_Science_Project
Data Science Softuni 2019 course project
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
Deep-Trading
Algorithmic trading with deep learning experiments
DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
django-cheat-sheet
A cheat sheet for creating web apps with the Django framework.
dl-algo-trader
Training an Agent to make automated trading decisions in a simulated stochastic market environment using Reinforcement Learning or Deep Q-Learning
esp8266_Wifi_remote
Remote control over wifi for AC and TV with Esp8266
leaflet-pgrouting-geoserver
An example of how to use leaflet for routing with pgrouting + geoserver
MifareOneTool
A GUI Mifare Classic tool on Windows（停工/最新版v1.7.0）
ML_Project
Machine learning course for Softuni 2019
order_book_visualization
Dinamically visualizing Binance order books and computing imbalance score in real time.
php-binance-api
PHP Binance API is an asynchronous PHP library for the Binance API designed to be easy to use. https://github.com/binance-exchange/php-binance-api
Predicting-Oil-Price-With-Time-Series-
The goal of our analysis was to use different time series methods to predict the oil price for the last 6 months of the data, September 2017 through February 2018, and determine the best prediction model for this data.
python_for_datascience
Python for Data Science
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Telecom_Churn_Prediction-
Predicting churn among telecom customers using Logistic Regression, Random Forest, Support Vector Machine and XG Boost in Python
time-series-forecasting
This repo contains my time series forecasting project to forecast international airline passengers.
youtube-dl
Download youtube videos to MP3