DP-100 - PS Flashcards

Decks in this Class (25):

  • Representing Processing And Preparing Da
    10 Cards
    Preview Flashcards
  • Sourcing Data In Microsoft Azure
    10 Cards
    Preview Flashcards
  • Cleaning And Preparing Data In Microsoft
    10 Cards
    Preview Flashcards
  • Combining And Shaping Data
    10 Cards
    Preview Flashcards
  • Summarizing Data And Deducing Probabilit
    10 Cards
    Preview Flashcards
  • Experimental Design For Data Analysis
    10 Cards
    Preview Flashcards
  • Interpreting Data With Statistical Model
    10 Cards
    Preview Flashcards
  • Interpreting Data With Advanced Statisti
    10 Cards
    Preview Flashcards
  • Communicating Data Insights
    10 Cards
    Preview Flashcards
  • Building Your First Data Science Project
    10 Cards
    Preview Flashcards
  • Building Training And Validating Models
    10 Cards
    Preview Flashcards
  • Preparing Data For Feature Engineering A
    10 Cards
    Preview Flashcards
  • Building Features From Nominal And Numer
    10 Cards
    Preview Flashcards
  • Feature Selection And Extraction In Micr
    10 Cards
    Preview Flashcards
  • Building Features From Text Data In Micr
    10 Cards
    Preview Flashcards
  • Reducing Complexity In Data In Microsoft
    10 Cards
    Preview Flashcards
  • Developing Models In Microsoft Azure
    10 Cards
    Preview Flashcards
  • Evaluating Model Effectiveness In Micros
    10 Cards
    Preview Flashcards
  • Deploying And Managing Models In Microso
    10 Cards
    Preview Flashcards
  • Communicating Insights From Microsoft Az
    10 Cards
    Preview Flashcards
  • Analyzing Business Requirements For Data
    10 Cards
    Preview Flashcards
  • Understanding Ethical Legal And Security
    10 Cards
    Preview Flashcards
  • Communicating Expectations To The Busine
    10 Cards
    Preview Flashcards
  • Building Features From Image Data In Mic
    10 Cards
    Preview Flashcards
  • Bias Variance Underfitting Overfitting
    4 Cards
    Preview Flashcards
Current Learners (3)