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View tracking_data_sync.ipynb
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View time_decay.ipynb
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View hockey_benchmark.ipynb
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View Interception_baye.ipynb
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View EPA_CFB.ipynb
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View Sampling_EP.ipynb
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View Spin_efficiency.py
query = '''
SELECT pitch_type,release_speed,release_pos_x,release_pos_z,pitcher,pfx_x,pfx_z,plate_x,plate_z,balls,strikes,
vx0,vy0,vz0,ax,ay,az,release_spin_rate,release_extension,description
FROM statcast_2018
WHERE release_speed >= 0
'''
View baseball_trajectory.py
import math
import matplotlib.pyplot as plt
#initial condition
mass = 5.125 #Oz
circumference = 9.125 #inches
x0 = 0 #ft
y0 = 2.000 #ft
z0 = 3 #ft
exit_speed = 100 #mph
View easy-RAPM.py
import numpy as np
from sklearn import linear_model
import pandas as pd
import requests
from sklearn.feature_extraction import DictVectorizer
team_id_list = ['1610612737','1610612738','1610612751','1610612766','1610612741','1610612739','1610612742','1610612743','1610612765','1610612744','1610612745','1610612754','1610612746','1610612747','1610612763','1610612748','1610612749','1610612750','1610612740','1610612752','1610612760','1610612753','1610612755','1610612756','1610612757','1610612758','1610612759','1610612761','1610612762','1610612764']
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36'}
View statcast_DRS.ipynb
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