Statsmodels: statistical modeling and econometrics in Python
- python
- statistics
- econometrics
- data-analysis
Repository Index
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Lightning ⚡️ fast forecasting with statistical and econometric models.
- time-series
- statistics
- forecasting
- arima
Python Toolkit for Causal and Probabilistic Reasoning
- python
- bayesian-networks
- causal-inference
- causal-discovery
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
- forecasting
- scikit-learn
- machine-learning
- python
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
- graph
- high-performance
- machine-learning
- knowledge-graph
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
- btc
- lstm
- rnn
- bitcoin
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
- python
- sklearn
- data-science
- framework
Spatial and spatio-temporal geostatistical modelling, prediction and simulation
Stock price prediction using a deterministic algorithm inspired by LSTM, focusing on pattern recognition in historical data.
Interpretable drug response prediction with graph neural networks over drugs, cell lines, and genes.
Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.