Tags
- adstock 1
- arima 1
- career tips 4
- change point detection 1
- chatgpt 1
- cnn 1
- concept drift 1
- contrastive search 1
- conversion modeling 1
- convolutional neural networks 1
- course review 2
- coursera 2
- cross validation 1
- cudf 1
- cupy 1
- darts 1
- dask 1
- data drift 1
- data science 4
- deep learning 3
- deepar 1
- direct 1
- distribution shift 1
- dynamic time warping 1
- ensembles 1
- euclidean distance 1
- facebook ads 1
- finance 1
- garch 1
- gaussian process 1
- gluonts 2
- gpt-3 1
- gpt-neo 1
- gradient boosting 1
- hierarchical reconciliation 1
- hierarchical time series forecasting 1
- holt-winters 1
- hyperparameter tuning 2
- intermittent time series 1
- k-means 1
- kaggle 3
- kalman filter 1
- lightgbm 1
- lightweightmmm 2
- llm 1
- lstm 2
- machine learning 36
- marketing mix modeling 7
- marketing mix models 1
- meta 1
- meta ads 1
- meta summit 1
- mlforecast 4
- multi-step forecasting 1
- multicollinearity 1
- multivariate time series 1
- naive 1
- naive forecasting 1
- nand2tetris 1
- nlp 1
- normalization 1
- numpy 2
- opt 1
- optuna 3
- orbit 2
- pandas 2
- pca 1
- pearson correlation 1
- polars 2
- prophet 1
- python 31
- pytorch 2
- pytorch lightning 1
- recursive 1
- ruptures 1
- scaling 1
- scikit-learn 5
- scipy 2
- seasonality 1
- skforecast 1
- statsforecast 1
- statsmodels 2
- tcn 1
- temporal convolutional networks 1
- time series 26
- time series clustering 1
- time series forecasting 19
- time series preprocessing 1
- time series similarity 1
- tsfresh 1
- twitter 1
- validation 1
- video views campaign 1
- volatility 1
- xgboost 4