https://github.com/bbva/mercury-dataschema
Utility package that, given a Pandas DataFrame, it uses the DataSchema class which auto-infers feature types and automatically calculates different statistics depending on the types.
analytics
data
data-cleaning
data-processing
data-science
feature-engineering
Added: over 1 year ago - Last Synced: 11 months ago
- Created: March 09, 2023
https://github.com/sverrenystad/power-predictor
Using Machine Learning for time series forecasting of photovoltaic measurement for solar systems based on weather features
automl
catboost
exploratory-data-analysis
feature-engineering
feature-selection
gradient-boosting
kaggle-competition
lstm
machine-learning
prophet-model
random-forest
regression
renewable-energy
solar-energy
stacking
time-series-forecasting
xgboost
Added: over 1 year ago - Last Synced: 11 months ago
- Created: September 22, 2023
- Relevant topics? true
- External users? true
- Open source license? true
- Active? true
- Fork? false
- Main Language: Jupyter Notebook
- Commits: 376
- Committers: 7
- Issues: 51
- Pull Requests: 119
- Owner: SverreNystad
- Stars: 6
- Forks: 2
- Packages: 0
https://github.com/csfromcs/vhs-thesis
ALIVE Research on E-Jeep video detection using neural network as location tracking.
autoencoder
deep-learning
feature-engineering
linear-regression
machine-learning
neural-network
thesis
transformers
transportation
vision
vision-detection
xgboost
xgboost-regression
Added: over 1 year ago - Last Synced: 11 months ago
- Created: February 07, 2023
- Relevant topics? true
- External users? true
- Open source license? true
- Active? true
- Fork? false
- Main Language: Jupyter Notebook
- Commits: 97
- Committers: 4
- Issues: 0
- Pull Requests: 12
- Owner: CSfromCS
- Stars: 0
- Forks: 0
- Packages: 0
