AI_gym_assistent

-


 

Comments

Post a Comment

Popular posts from this blog

whats the difference between insert and append ? with python code.

-
"insert" and "append" method in list in Python bigginer basically get confused when to use insert and append method in list. heras is the very simple understanding format of  it.   insert: to add some element in the list at certain position. append: to add element in the list. code: append ................................................................................................................... shop=['bread','banana','egg'] shop.append("apple") print(shop) output: ['bread', 'banana', 'egg', 'apple'] ..................................................................... insert: python code: shop.insert(2,"lemmon") shop output: ['bread', 'banana', 'lemmon', 'egg', 'apple']  
Read more

using your age and duration of workout finding how much calories you burned!

-
dataset: https://www.kaggle.com/fmendes/fmendesdat263xdemos/download ......................................................................................................................................................... import pandas as  pd import matplotlib.pyplot as plt import numpy as np import pickle  from sklearn.model_selection import train_test_split from sklearn.linear_model import LinearRegression df_calories=pd.read_csv("ineuron/calories.csv") df_exercise=pd.read_csv("ineuron/exercise.csv") data=df_exercise.merge(df_calories, on='User_ID') #print(data.head()) #[:,0:-1] all rows and all expect last column (independent  variable) also feature column #data_x = data.iloc[:,:-1].values data_x= df.loc[:,[ 'Weight','Age','Duration']] data_y=df.iloc[:,-1] #[:,-1]all rows and only last column (dependent variable) also target column #data_y = data.iloc[:,-1].values x_train,x_test,y_train,y_test = train_test_split(data_x,data_y,test...
Read more