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Machine Learning

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General

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  1. Introduction to Machine Learning  |  Machine Learning Crash Course  |  Google Developers
  2. scikit-learn API
  3. aarshayj/Analytics_Vidhya
  4. ga-students/DS_HK_1

Performance Evaluation

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  1. Receiver operating characteristic
  2. Narrow confidence interval -- higher accuracy?
  3. Precision and recall

Anaomoly Detection

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  1. Machine Learning - 15. Anomaly Detection - YouTube

Reinforcement Learning

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  1. UCL Course on RL

Quant

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  1. Python for Finance Trainings by TPQ GmbH
  2. Machine Learning for Algorithmic Trading
  3. Dr. Yves J. Hilpisch

Time-Series Analysis

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  1. Ensemble learning for time series forecasting in R – Peter Laurinec – Time series data ...
  2. Time Series Classification Website
  3. Modern Pandas (Part 7): Timeseries
  4. Identifying the order of differencing in ARIMA models
  5. Identifying the orders of AR and MA terms in an ARIMA model
  6. tsa_filters
  7. 12 more

Survival Analysis

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  1. lifelines 0.8.0.1 documentation
  2. Lecture notes: survival-analysis.pdf
  3. Survival Analysis with Plotly

Random Forests

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  1. Random forest
  2. ŷhat | Random Forests in Python

Examples

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  1. Predicting disease risks

Ensembles

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  1. Ensemble learning for time series forecasting in R – Peter Laurinec – Time series data ...
  2. dark14.pdf - Hinton & Dean Dark knowledge
  3. 1st PLACE - WINNER SOLUTION
  4. Learner Mechanics — mlens 0.2.0 documentation
  5. Getting started — mlens 0.2.0 documentation
  6. PyDotPlus 2.0.2 documentation
  7. 2 more

t-SNE

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  1. How to Use t-SNE Effectively
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