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] [[
tomas-rampas
/ list.md
Created
November 4, 2020 15:05
— forked from ih2502mk/list.md
Quantopian Lectures Saved
tomas-rampas
/ keras_prediction.py
Created
November 17, 2016 16:07
— forked from hnykda/keras_prediction.py
Predicting sequences of vectors (regression) in Keras using RNN - LSTM (danielhnyk.cz)
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| import pandas as pd | |
| from random import random | |
| flow = (list(range(1,10,1)) + list(range(10,1,-1)))*100 | |
| pdata = pd.DataFrame({"a":flow, "b":flow}) | |
| pdata.b = pdata.b.shift(9) | |
| data = pdata.iloc[10:] * random() # some noise | |
| import numpy as np |