7194 Open source projects that are alternatives of or similar to Alphalens

This repository provides everything you need to get started with Python for (social science) research.

PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)

📚 Various cheatsheets in PDF

Repository to store sample python programs for python learning

A collection of notebooks of my Machine Learning class written in python 3

공공데이터 분석

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

Technical Analysis Library using Pandas and Numpy

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

A 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

Using Project Jupyter for data science.

Notebooks and libraries for spatial/geo Python explorations

Achieve your marketing goals with the data analytics power of Python

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

This 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.

Training Diary

The Los Angeles Times' independent tally of coronavirus cases in California.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

【运筹OR帷幄|数据科学】pandas教程系列电子书

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

Association Rule Mining from Spatial Data for Crime Analysis

Notebooks based on financial machine learning.

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.

Alpine Container for Machine Learning

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

For extensive instructor led learning

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Numerical & Scientific Computing with Python Tutorial

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。

This 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.

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

This is Andrew NG Coursera Handwritten Notes.

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

Functionalities in Excel translated to Python

Use AI to generate a optimized stock portfolio

I have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the way. It starts form some basic simple statistics and will lead up to complex machine learning algorithms.

Jupyter Notebook extension leveraging pandas DataFrames by integrating DataTables and ChartJS.

A Python implementation of Sky Region Detection in a Single Image for Autonomous Ground Robot Navigation (Shen and Wang, 2013)

pytablewriter is a Python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.

This repository consists of all my Machine Learning Projects.

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Create HTML profiling reports from pandas DataFrame objects

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Python training for business analysts and traders

Credit Risk analysis by using Python and ML

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

A Box detection algorithm for any image containing boxes.

A more accurate representation of jupyter notebooks when converting to pdfs.

Notebooks for the SciPy 2017 tutorial "The Jupyter Interactive Widget Ecosystem"

PRML algorithms implemented in Python

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

Data science and Big Data with Python

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

Materiály k předmětu NI-PYT na FIT ČVUT