Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as appli
machine-learning
deep-learning
data-science
data-visualization
data-analysis
feature-extraction
scikit-learn
data-scientists
feature-engineering
feature-scaling
feature-selection
features
data-mining
Updated 2022-05-07 18:26:02 +03:00
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
machine-learning
data-science
cryptocurrency
trading
trading-strategies
algorithmic-trading
data-visualization
quantitative-finance
backtesting
time-series
finance
portfolio-optimization
algorithmic-traiding
quantitative-analysis
Updated 2022-03-22 01:31:40 +03:00
ConTEXT Explorer is an open Web-based system for exploring and visualizing concepts (combinations of occurring words and phrases) over time in the text documents.
Updated 2022-02-20 22:06:42 +03:00
python
machine-learning
deep-learning
interface
deploy
models
data-visualization
data-analysis
ui-components
gradio
python-notebook
gradio-interface
data-science
ui
Updated 2021-05-13 00:45:44 +03:00