at-tan / Cracking_Ames_Housing_OLSLinks
Linear regression modelling of the Ames housing dataset, with the goal of predicting the house sale price, as published in Towards Data Science on Medium.com
☆10Updated 2 months ago
Alternatives and similar repositories for Cracking_Ames_Housing_OLS
Users that are interested in Cracking_Ames_Housing_OLS are comparing it to the libraries listed below
Sorting:
- This module is a simple trading system. I will compelete it gradually☆11Updated 3 years ago
- A modification of traditional random forest for time-series forecasting☆12Updated last year
- This project would demonstrate the following capabilities: 1. Extraction Loading and Transformation of S&P 500 data and company fundament…☆13Updated 4 years ago
- The NLP News Sentiment Factor Trading Strategy for a Portfolio of S&P 500 Stocks☆12Updated 5 years ago
- Second coursework & case from Sber Data Science competition. Links to scientific papers to which I will refer will be here.☆13Updated 4 years ago
- Time Series forecasting on daily temperature data using the FB Prophet library. Complete Video Explanaiton on my YouTube channel: https:/…☆13Updated 3 years ago
- Quantitative Finance & Algorithmic Trading in Python course of Udemy☆12Updated 8 years ago
- Python implementation of the Three Pass Regression Filter☆14Updated 5 years ago
- This repository contains dataset for paper FedNLP: An interpretable NLP System to Decode Federal Reserve Communications, published in SIG…☆14Updated last year
- Plotting the Efficient Frontier in Python. Inspired by Markowitz Modern Portfolio Theory.☆18Updated 4 years ago
- ☆10Updated 6 years ago
- Apply Box&Tiao to generate stationary price spread series in steel industry commodity futures market for pair trading☆14Updated 3 years ago
- This repository contains solution for prediction of stock price returns☆14Updated 6 years ago
- A first experiment on how to use deep-value investing strategies to find valuable stocks☆13Updated 3 years ago
- Use total, upper, down, relative volatility factors to find Alpha. Implement whole trading process & back-test with visualization.☆12Updated 4 years ago
- Testing and implementation of ML algorithms for the analysis of cryptocurrency trends.☆11Updated last year
- A library of techniques for local interpretation of machine learning models☆10Updated 2 years ago
- Python script to create a dataset with all the features available on Glassnode for the analysis of the Bitcoin cryptocurrency.☆12Updated 2 years ago
- select stock automatically, trade manually☆12Updated 5 years ago
- ☆20Updated 9 years ago
- This is the repo accompanying the paper: "A multimodal model with Twitter FinBERT embeddings for extreme price movement prediction of Bit…☆12Updated 5 months ago
- Codes to clean data and construct variables for empirical finance.☆12Updated 4 years ago
- Testing trading signals of commodity futures☆17Updated 5 years ago
- The Adaptive Multi-Factor (AMF) asset pricing model with the Groupwise Interpretable Basis Selection (GIBS) algorithm.☆10Updated 4 years ago
- A repository for portfolio allocation based on embedding data representation☆12Updated 11 months ago
- The project is about predicting the stock market movement based on the news headlines that published on a particular day. The news data …☆15Updated 7 years ago
- 基于机器学习的多因子研究框架☆14Updated 5 years ago
- Stock Market Price Prediction: Used machine learning algorithms such as Linear Regression, Logistics Regression, Naive Bayes, K Nearest N…☆26Updated 5 years ago
- Crypto-Options Volatility Surface Calibration and Arbitrage☆17Updated 3 years ago
- Machine learning methods for identifing investment factors☆19Updated 4 years ago