SPSS
Filtrlər
Format
Görünüş:
Kod
Ad
Format
Müddət
0A0V8GUA
Predictive Modeling for Continuous Targets Using IBM SPSS Modeler (v18.1.1)
1 Gün, 8 Saat
0A008UA
Introduction to IBM SPSS Modeler and Data Science (v18.1.1)
2 Gün, 16 Saat
0A018UA
Data science without a Ph.D. Using IBM SPSS Modeler (v18.1.1)
1 Gün, 8 Saat
0A028UA
Introduction to Time Series Analysis Using IBM SPSS Modeler (v18.1.1)
1 Gün, 8 Saat
0A038UA
Advanced Predictive Modeling Using IBM SPSS Modeler (v18.1.1)
1 Gün, 8 Saat
0A048UA
Clustering and Association Modeling Using IBM SPSS Modeler (v18.1.1)
1 Gün, 8 Saat
0A058UA
Advanced Data Preparation Using IBM SPSS Modeler (v18.1.1)
1 Gün, 8 Saat
0A108GUA
Introduction to IBM SPSS Modeler Text Analytics (v18.1.1)
2 Gün, 16 Saat
0A0U8GUA
Predictive Modeling for Categorical Targets Using IBM SPSS Modeler (v18.1.1)
1 Gün, 8 Saat
0A079UA
Introduction to Machine Learning Models Using IBM SPSS Modeler (V18.2)
2 Gün, 16 Saat
0A0V8GUA
Predictive Modeling for Continuous Targets Using IBM SPSS Modeler (v18.1.1)
Sinif, distant
1 Gün, 8 Saat
0A008UA
Introduction to IBM SPSS Modeler and Data Science (v18.1.1)
This course provides the fundamentals of using IBM SPSS Modeler and introduces the participant to data science.
Sinif, distant
2 Gün, 16 Saat
0A018UA
Data science without a Ph.D. Using IBM SPSS Modeler (v18.1.1)
This course focuses on reviewing concepts of data science, where participants will learn the stages of a data science project.
Sinif, distant
1 Gün, 8 Saat
0A028UA
Introduction to Time Series Analysis Using IBM SPSS Modeler (v18.1.1)
This course gets you up and running with a set of procedures for analyzing time series data. Learn how to forecast using a variety of models, including regression, exponential smoothing, and ARIMA, which take into account different combinations of trend and seasonality.
Sinif, distant
1 Gün, 8 Saat
0A038UA
Advanced Predictive Modeling Using IBM SPSS Modeler (v18.1.1)
This course presents advanced models to predict categorical and continuous targets. Before reviewing the models, data preparation issues are addressed such as partitioning, detecting anomalies, and balancing data.
Sinif, distant
1 Gün, 8 Saat
0A048UA
Clustering and Association Modeling Using IBM SPSS Modeler (v18.1.1)
Clustering and Association Modeling Using IBM SPSS Modeler (v18.1.1) introduces modelers to two specific classes of modeling that are available in IBM SPSS Modeler: clustering and associations.
Sinif, distant
1 Gün, 8 Saat
0A058UA
Advanced Data Preparation Using IBM SPSS Modeler (v18.1.1)
This course covers advanced topics to aid in the preparation of data for a successful data science project.
Sinif, distant
1 Gün, 8 Saat
0A108GUA
Introduction to IBM SPSS Modeler Text Analytics (v18.1.1)
Sinif, distant
2 Gün, 16 Saat
0A0U8GUA
Predictive Modeling for Categorical Targets Using IBM SPSS Modeler (v18.1.1)
Sinif, distant
1 Gün, 8 Saat
0A079UA
Introduction to Machine Learning Models Using IBM SPSS Modeler (V18.2)
This course provides an introduction to supervised models, unsupervised models, and association models.
Sinif, distant
2 Gün, 16 Saat
0A0V8GUA
Predictive Modeling for Continuous Targets Using IBM SPSS Modeler (v18.1.1)
Format
Gün
1 Gün, 8 Saat
0A008UA
Introduction to IBM SPSS Modeler and Data Science (v18.1.1)
Format
Gün
2 Gün, 16 Saat
0A018UA
Data science without a Ph.D. Using IBM SPSS Modeler (v18.1.1)
Format
Gün
1 Gün, 8 Saat
0A028UA
Introduction to Time Series Analysis Using IBM SPSS Modeler (v18.1.1)
Format
Gün
1 Gün, 8 Saat
0A038UA
Advanced Predictive Modeling Using IBM SPSS Modeler (v18.1.1)
Format
Gün
1 Gün, 8 Saat
0A048UA
Clustering and Association Modeling Using IBM SPSS Modeler (v18.1.1)
Format
Gün
1 Gün, 8 Saat
0A058UA
Advanced Data Preparation Using IBM SPSS Modeler (v18.1.1)
Format
Gün
1 Gün, 8 Saat
0A108GUA
Introduction to IBM SPSS Modeler Text Analytics (v18.1.1)
Format
Gün
2 Gün, 16 Saat
0A0U8GUA
Predictive Modeling for Categorical Targets Using IBM SPSS Modeler (v18.1.1)
Format
Gün
1 Gün, 8 Saat
0A079UA
Introduction to Machine Learning Models Using IBM SPSS Modeler (V18.2)
Format
Gün
2 Gün, 16 Saat
