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<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="UTF-8"> | |
<title>IPyVolume Widget</title> | |
</head> | |
<body> | |
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from keras.applications.mobilenet_v2 import MobileNetV2, preprocess_input | |
from keras import layers, models | |
from sklearn.linear_model import LinearRegression | |
import numpy as np | |
def prep_to_conv( | |
in_prep_func: Callable[[np.array], np.array], | |
*, | |
min_val: float=-127, | |
max_val: float=127, |
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library(quantmod) | |
library(rvest) | |
table_id <- 3 | |
url <- "https://en.wikipedia.org/wiki/S%26P_100" | |
sp100 <- url %>% | |
read_html() %>% | |
html_nodes("table") %>% | |
.[[table_id]] %>% | |
html_table() |
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name: plotly_express | |
dependencies: | |
- python=3.5 | |
- numpy | |
- matplotlib | |
- pandas | |
- scikit-learn | |
- pip: | |
- plotly==3.7.1 | |
- plotly_express |
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