This class was created by Brainscape user Data Science. Visit their profile to learn more about the creator.
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Data Science
- decks
- flashcards
- learners
Decks in this class (25)
Statistics
technical interview study
65
cards
Machine Learning
Technical interview study
20
cards
Model Evaluation
Technical interview study
12
cards
Feature Selection
DS
13
cards
Feature Engineering
DS
7
cards
Decision Trees
DS
24
cards
Random Forest
DS
9
cards
Gradient Boosting
DS
5
cards
Dimensionality Reduction
DS
5
cards
KNN
DS
3
cards
Clustering
DS
7
cards
Linear Regression
DS
11
cards
Regularized Linear Models
DS
4
cards
Logistic Regression
DS
10
cards
Support Vector Machines
DS
11
cards
AdaBoost
What is the structure of adaboost,
Explain the adaboost error reweig...,
What formula in adaboost updates ...
4
cards
Math
Explain what eigenvectors and eig...,
What do logs do,
What is a span
7
cards
Data Science Interview
Give an example of how you would ...,
Why is naive bayes naive,
You find your model suffers from ...
5
cards
Classification
Explain the precision metric to a...,
Explain the recall metric to a fi...,
Explain the specificity metric to...
10
cards
NeuralNets
What is the equation of the sigmo...,
What does the bias term do in a n...,
What is a neuron
6
cards
Probability
Provide a high level definition o...,
A pair of dice is tossed what is ...,
A couple has two children find th...
28
cards
Random Sampling
What is a sampling distribution,
What is a statistic,
What is a random sample
8
cards
Point Estimates
Define a point estimate,
Given 20 random sample obs which ...,
What is an unbiased estimator
9
cards
Confidence Intervals
How do we derive the formula for ...,
How should we interpret a confide...,
What is the general formula to co...
3
cards
Hypothesis Testing
What are the hypotheses in a stat...,
Define the error types in hypothe...,
A certain car is said to sustain ...
5
cards
More about
DS
- Class purpose General learning
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Looking for something else?
Statistics
- 12 decks
- 317 flashcards
- 17 learners
Decks:
Measurement And Graphical Representation, Confidence And Significance, Hypothesis Testing, And more!
