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feature-selection

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rorysroes / SGX-Full-OrderBook-Tick-Data-Trading-Strategy

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Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

python machine-learning trading feature-selection model-selection quant trading-strategies investment market-maker feature-engineering algorithmic-trading backtesting-trading-strategies limit-order-book quantitative-trading orderbook market-microstructure high-frequency-trading market-making orderbook-tick-data
  • Updated Feb 14, 2017
  • Jupyter Notebook

arnaldog12 / Machine_Learning

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Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

python machine-learning neural-network naive-bayes linear-regression machine-learning-algorithms regression feature-selection logistic-regression kmeans adaboost decision-trees polynomial-regression knn principal-component-analysis redes-neurais-artificiais linear-discriminant-analysis multilinear-regression
  • Updated Mar 21, 2019
  • Jupyter Notebook

kaushalshetty / FeatureSelectionGA

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TypeError: unhashable type: 'slice'

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chunyanyin11
chunyanyin11 commented Dec 21, 2018

Hello, when I ran your code got "TypeError: unhashable type: 'slice' ".Can you help me analyze the problem?thanks

`
import pandas as pd
from sklearn.linear_model import LogisticRegression
from feature_selection_ga import FeatureSelectionGA
data = pd.read_excel("D:\Project_CAD\实验6\data\train_data_1\train_1.xlsx")
x, y = data.iloc[:, :53], data.iloc[:, 56]
model = LogisticRegression()

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good first issue help wanted

dominance-analysis / dominance-analysis

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This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

feature-selection logistic-regression feature-engineering regression-models predictor multiple-regression feature-importance classification-model relative-importance dominance-analysis r-square shapley-value keydrivers dominance dominance-statistics predictor-importance pseudo-r-square
  • Updated Jul 6, 2020
  • Python

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