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Class Notes for STAT C100

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BERKELEY
STAT C100 Lecture Notes - Lecture 14: Data Manipulation Language, Data Definition Language, Database
coffeejellyfish428
243
BERKELEY
STAT C100 Lecture 13: Classification and logistic regression
coffeejellyfish428
323
BERKELEY
STAT C100 Lecture 12: regularization
coffeejellyfish428
337
BERKELEY
STAT C100 Lecture Notes - Lecture 10: Probability Mass Function, Random Variable, Sampling Distribution
coralhamster848
382
BERKELEY
STAT C100 Lecture 9: Lecture09 Modeling and Estimation II
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558
BERKELEY
STAT C100 Lecture Notes - Lecture 6: Birth Weight, Scatter Plot, Gestation
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563
BERKELEY
STAT C100 Lecture Notes - Lecture 7: Canonicalization, Regular Expression, List Comprehension
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681
BERKELEY
STAT C100 Lecture Notes - Lecture 11: Feature Engineering, Missing Data, Data Science
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875
BERKELEY
STAT C100 Lecture Notes - Lecture 13: Feature Engineering, Overfitting, Invertible Matrix
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863
BERKELEY
STAT C100 Lecture Notes - Lecture 12: Random Variable, Closed-Form Expression, Outback
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491
BERKELEY
STAT C100 Lecture Notes - Lecture 8: Exploratory Data Analysis, John Tukey, Granularity
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567
BERKELEY
STAT C100 Lecture Notes - Lecture 4: Exploratory Data Analysis, Ipython, Apache Spark
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468
BERKELEY
STAT C100 Lecture Notes - Lecture 1: Exploratory Data Analysis, Data Science, Big Data
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3148
BERKELEY
STAT C100 Lecture Notes - Lecture 3: Amortized Analysis, Aggregate Function
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265
BERKELEY
STAT C100 Lecture 5: Data 100 lecture05
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355
BERKELEY
STAT C100 Lecture Notes - Lecture 2: Apache Spark, Ipython, Data Science
coralhamster848
373
BERKELEY
STAT C100 Lecture 11: Probability review and matrix loss function
coffeejellyfish428
425
BERKELEY
STAT C100 Lecture 10: linear model and feature engineering
coffeejellyfish428
324

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