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Quant Interview Prep
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Machine Learning
Problemset
Discussion
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Quant Careers & Interview Process
0/29
Probability & Statistics
0/41
Mental Math
0/25
Brain Teasers & Logic
0/25
Programming for Quants
0/41
Machine Learning
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1
Intro
2
Supervised vs Unsupervised
3
Linear and Logistic Regression
4
Bias-Variance Tradeoff
5
Quiz: Bias-Variance
6
Regularization
7
Cross-Validation
8
Feature Engineering
9
Quiz: Regularization
10
Decision Trees
11
Random Forests
12
Gradient Boosting
13
Quiz: Cross-Validation
14
Support Vector Machines
15
K-Nearest Neighbors
16
Clustering Methods
17
Quiz: Feature Engineering
18
Dimensionality Reduction
19
PCA Deep Dive
20
Neural Network Basics
21
Quiz: Model Selection
22
Time Series Forecasting
23
Model Selection
24
Hyperparameter Tuning
25
Ensemble Methods
26
Imbalanced Data
27
Feature Importance
28
Model Interpretability
29
ML in Trading Applications
30
Section Recap
Markets & Trading
0/30
Applications & Interview Day
0/34
6.1
Intro
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