Lecture 1: Introduction to Research — [📝Lecture Notebooks] [
Lecture 2: Introduction to Python — [📝Lecture Notebooks] [
Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [
Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [
Lecture 5: Plotting Data — [📝Lecture Notebooks] [[
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etesys
/ QuantopianLecturesList.md
Last active
February 25, 2023 13:52
— forked from ih2502mk/list.md
Quantopian Lectures Saved
etesys
/ ContextualPolicy.ipynb
Created
February 16, 2022 08:29
— forked from awjuliani/ContextualPolicy.ipynb
A Policy-Gradient algorithm that solves Contextual Bandit problems.
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etesys
/ Q-Net Learning Clean.ipynb
Created
February 14, 2022 06:22
— forked from awjuliani/Q-Net Learning Clean.ipynb
Basic Q-Learning algorithm using Tensorflow
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etesys
/ evaluation.py
Created
February 3, 2022 06:52
— forked from jeethu/evaluation.py
Numerai Model Evaluation
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| import functools | |
| import matplotlib.pyplot as plt | |
| import matplotlib.patches as mpatches | |
| import matplotlib.table as table | |
| import numpy as np | |
| import pandas as pd | |
| from scipy.stats import spearmanr | |
| TOURNAMENT_NAME = "kazutsugi" |