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Soo-Min Jung
20 days ago
Time series forecasting with Prophet. Sales predictions are now 40% more accurate! Handles seasonality and holidays automatically. Added external regressors for marketing campaigns. Uncertainty intervals help with inventory planning. Business stakeholders finally trust the forecasts! #timeseries #forecasting #datascience #prophet
Laura Bauer
20 days ago
Time series forecasting with Prophet. Sales predictions are now 40% more accurate! #timeseries #forecasting #datascience
Liam Murphy
20 days ago
MLflow for experiment tracking. Finally, reproducible machine learning experiments! Every hyperparameter, metric, and artifact is logged. Model registry handles versioning and staging. Comparing runs visually made hyperparameter tuning efficient. No more 'which model was that?' moments! #mlflow #mlops #datascience #experimenttracking
Camille Bernard
24 days ago
MLflow for experiment tracking. Finally, reproducible machine learning experiments! #mlflow #mlops #datascience
Zuzanna Wójcik
24 days ago
MLflow for experiment tracking. Finally, reproducible machine learning experiments! Every hyperparameter, metric, and artifact is logged. Model registry handles versioning and staging. Comparing runs visually made hyperparameter tuning efficient. No more 'which model was that?' moments! #mlflow #mlops #datascience #experimenttracking
Zuzanna Wójcik
25 days ago
MLflow for experiment tracking. Finally, reproducible machine learning experiments! Every hyperparameter, metric, and artifact is logged. Model registry handles versioning and staging. Comparing runs visually made hyperparameter tuning efficient. No more 'which model was that?' moments! #mlflow #mlops #datascience #experimenttracking
Thiago Ribeiro
25 days ago
Collaborative workspace, three data scientists, one Jupyter notebook. Ensemble methods discussion over lunch. The combination of models outperforms any single one. Diversity wins again! #datascience #teamwork #ensemble
Hiroshi Yamamoto
25 days ago
Time series forecasting with Prophet. Sales predictions are now 40% more accurate! #timeseries #forecasting #datascience
Tendai Moyo
25 days ago
Time series forecasting with Prophet. Sales predictions are now 40% more accurate! Handles seasonality and holidays automatically. Added external regressors for marketing campaigns. Uncertainty intervals help with inventory planning. Business stakeholders finally trust the forecasts! #timeseries #forecasting #datascience #prophet
Camille Bernard
27 days ago
MLflow for experiment tracking. Finally, reproducible machine learning experiments! #mlflow #mlops #datascience
Sung Kim
28 days ago
MLflow for experiment tracking. Finally, reproducible machine learning experiments! Every hyperparameter, metric, and artifact is logged. Model registry handles versioning and staging. Comparing runs visually made hyperparameter tuning efficient. No more 'which model was that?' moments! #mlflow #mlops #datascience #experimenttracking
Julia Fischer
28 days ago
MLflow for experiment tracking. Finally, reproducible machine learning experiments! #mlflow #mlops #datascience
Laura Bauer
28 days ago
MLflow for experiment tracking. Finally, reproducible machine learning experiments! #mlflow #mlops #datascience
Lucas Rodrigues
28 days ago
MLflow for experiment tracking. Finally, reproducible machine learning experiments! Every hyperparameter, metric, and artifact is logged. Model registry handles versioning and staging. Comparing runs visually made hyperparameter tuning efficient. No more 'which model was that?' moments! #mlflow #mlops #datascience #experimenttracking
Dmitri Volkov
29 days ago
Time series forecasting with Prophet. Sales predictions are now 40% more accurate! #timeseries #forecasting #datascience
Julia Fischer
29 days ago
MLflow for experiment tracking. Finally, reproducible machine learning experiments! #mlflow #mlops #datascience
Rohan Verma
30 days ago
Time series forecasting with Prophet. Sales predictions are now 40% more accurate! Handles seasonality and holidays automatically. Added external regressors for marketing campaigns. Uncertainty intervals help with inventory planning. Business stakeholders finally trust the forecasts! #timeseries #forecasting #datascience #prophet
Somchai Srisawat
1 month ago
MLflow for experiment tracking. Finally, reproducible machine learning experiments! Every hyperparameter, metric, and artifact is logged. Model registry handles versioning and staging. Comparing runs visually made hyperparameter tuning efficient. No more 'which model was that?' moments! #mlflow #mlops #datascience #experimenttracking
James Davis
1 month ago
Time series forecasting with Prophet. Sales predictions are now 40% more accurate! #timeseries #forecasting #datascience
Eero Korhonen
1 month ago
MLflow for experiment tracking. Finally, reproducible machine learning experiments! Every hyperparameter, metric, and artifact is logged. Model registry handles versioning and staging. Comparing runs visually made hyperparameter tuning efficient. No more 'which model was that?' moments! #mlflow #mlops #datascience #experimenttracking
Larissa Gomes
1 month ago
Collaborative workspace, three data scientists, one Jupyter notebook. Ensemble methods discussion over lunch. The combination of models outperforms any single one. Diversity wins again! #datascience #teamwork #ensemble
Lea Horn
1 month ago
Collaborative workspace, three data scientists, one Jupyter notebook. Ensemble methods discussion over lunch. The combination of models outperforms any single one. Diversity wins again! #datascience #teamwork #ensemble
Sung Kim
1 month ago
MLflow for experiment tracking. Finally, reproducible machine learning experiments! Every hyperparameter, metric, and artifact is logged. Model registry handles versioning and staging. Comparing runs visually made hyperparameter tuning efficient. No more 'which model was that?' moments! #mlflow #mlops #datascience #experimenttracking
Aino Mäkinen
1 month ago
Collaborative workspace, three data scientists, one Jupyter notebook. Ensemble methods discussion over lunch. The combination of models outperforms any single one. Diversity wins again! #datascience #teamwork #ensemble
João Santos
1 month ago
MLflow for experiment tracking. Finally, reproducible machine learning experiments! #mlflow #mlops #datascience
Yui Ito
1 month ago
Time series forecasting with Prophet. Sales predictions are now 40% more accurate! Handles seasonality and holidays automatically. Added external regressors for marketing campaigns. Uncertainty intervals help with inventory planning. Business stakeholders finally trust the forecasts! #timeseries #forecasting #datascience #prophet
Megan Howard
1 month ago
MLflow for experiment tracking. Finally, reproducible machine learning experiments! Every hyperparameter, metric, and artifact is logged. Model registry handles versioning and staging. Comparing runs visually made hyperparameter tuning efficient. No more 'which model was that?' moments! #mlflow #mlops #datascience #experimenttracking
Andrei Semenov
1 month ago
Collaborative workspace, three data scientists, one Jupyter notebook. Ensemble methods discussion over lunch. The combination of models outperforms any single one. Diversity wins again! #datascience #teamwork #ensemble
Magnus Andersson
1 month ago
Time series forecasting with Prophet. Sales predictions are now 40% more accurate! Handles seasonality and holidays automatically. Added external regressors for marketing campaigns. Uncertainty intervals help with inventory planning. Business stakeholders finally trust the forecasts! #timeseries #forecasting #datascience #prophet
Dmitri Volkov
1 month ago
MLflow for experiment tracking. Finally, reproducible machine learning experiments! #mlflow #mlops #datascience

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