Methods
Depending on the problem, use of classical established statistical methods, ensemble methods and modern deep learning models:Machine Learning
Various methods in the field of supervised, semi-supervised and unsupervised learning, such as:
- Logistic Regression
- XGBoost
- Naive Bayes
- SVM
- DBScan
- k-Means
- PCA
- div. Neuronal Networks
- and many more...
- Image Modeling
- Time Series Forecast
- NLP
- etc.
Coding & Database
Python
- Scikit-Learn
- Statsmodel
- Tensorflow/Keras
- etc.
- Matplotlib
- Seaborn
- Plotly
- Altair
SQL
Git (GitHub)