Seaborn TutorialThis repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.
Stars: ✭ 114 (-88.15%)
PbpythonCode, Notebooks and Examples from Practical Business Python
Stars: ✭ 1,724 (+79.21%)
Jupyter DatatablesJupyter Notebook extension leveraging pandas DataFrames by integrating DataTables and ChartJS.
Stars: ✭ 127 (-86.8%)
Data Analysis主要是爬虫与数据分析项目总结,外加建模与机器学习,模型的评估。
Stars: ✭ 142 (-85.24%)
MidaThe open-source and cross-platform trading framework
Stars: ✭ 263 (-72.66%)
FoxcrossAsyncIO serving for data science models
Stars: ✭ 18 (-98.13%)
DatageneDataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)
Stars: ✭ 156 (-83.78%)
AlgorithmictradingThis repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.
Stars: ✭ 157 (-83.68%)
Py QuantmodPowerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/
Stars: ✭ 155 (-83.89%)
StocksPrograms for stock prediction and evaluation
Stars: ✭ 155 (-83.89%)
BoltzmanncleanFill missing values in Pandas DataFrames using Restricted Boltzmann Machines
Stars: ✭ 23 (-97.61%)
DtaleVisualizer for pandas data structures
Stars: ✭ 2,864 (+197.71%)
ChoochooTraining Diary
Stars: ✭ 186 (-80.67%)
Trump LiesTutorial: Web scraping in Python with Beautiful Soup
Stars: ✭ 201 (-79.11%)
Quant NotesQuantitative Interview Preparation Guide, updated version here ==>
Stars: ✭ 180 (-81.29%)
WindroseA Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution
Stars: ✭ 208 (-78.38%)
DexplotSimple plotting library that wraps Matplotlib and integrated with DataFrames
Stars: ✭ 208 (-78.38%)
Python TrainingPython training for business analysts and traders
Stars: ✭ 972 (+1.04%)
PyportfoliooptFinancial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Stars: ✭ 2,502 (+160.08%)
PandahousePandas interface for Clickhouse database
Stars: ✭ 126 (-86.9%)
PantheraData-frames & arrays on Clojure
Stars: ✭ 168 (-82.54%)
Awesome Investing 💸💸 Curated list of investment & finance related resources
Stars: ✭ 935 (-2.81%)
PandasguiPandasGUI is a GUI for viewing, plotting and analyzing Pandas DataFrames.
Stars: ✭ 2,495 (+159.36%)
FAIGFully Automated IG Trading
Stars: ✭ 134 (-86.07%)
StyleframeA library that wraps pandas and openpyxl and allows easy styling of dataframes in excel
Stars: ✭ 252 (-73.8%)
TradeByte💸 TradeByte - Stocks Trading Simulation WebApp
Stars: ✭ 30 (-96.88%)
tellerbotTelegram Bot for over-the-counter trading
Stars: ✭ 17 (-98.23%)
Stock Prediction ModelsGathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Stars: ✭ 4,660 (+384.41%)
IexfinancePython SDK for IEX Cloud
Stars: ✭ 573 (-40.44%)
OctobotCryptocurrency trading bot: high frequency, daily trading, social trading, ...
Stars: ✭ 706 (-26.61%)
QuickvizVisualize a pandas dataframe in a few clicks
Stars: ✭ 18 (-98.13%)
AxistradecultAssist tool for trading on stock market, automatic download historical stock data, technical research, chart and analysis.
Stars: ✭ 26 (-97.3%)
Rnn SynAnalogs of Linguistic Structure in Deep Representations
Stars: ✭ 20 (-97.92%)
Vizwiz Vqa PytorchPyTorch VQA implementation that achieved top performances in the (ECCV18) VizWiz Grand Challenge: Answering Visual Questions from Blind People
Stars: ✭ 33 (-96.57%)
Trading Indicatorprovide trading technical indicator values based on data of almost crypto currency exchanges
Stars: ✭ 31 (-96.78%)
Glo4030 LabsLaboratoires du cours GLO-4030/GLO-7030
Stars: ✭ 21 (-97.82%)
Agu2017Content for my AGU 2017 presentations.
Stars: ✭ 21 (-97.82%)
Lab04Web scraping, APIs, and Twitter
Stars: ✭ 21 (-97.82%)
ServenetService Classification based on Service Description
Stars: ✭ 21 (-97.82%)
Minecraft Reinforcement LearningDeep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft
Stars: ✭ 33 (-96.57%)
Foltr EsThe source code to reproduce the results reported in the 'Federated Online Learning to Rank with Evolution Strategies' paper, published at WSDM 2019.
Stars: ✭ 33 (-96.57%)
Hacktoberfest2020 beginner-friendly project to help you in open-source contributions. Made specifically for contributions in HACKTOBERFEST 2020! Hello World Programs in any language and C and Cpp program , Please leave a star ⭐ to support this project! ✨
Stars: ✭ 31 (-96.78%)