Dataset pd.read_csv social_network_ads.csv
WebSep 15, 2024 · In this article. You create an instance of a DataSet by calling the DataSet constructor. Optionally specify a name argument. If you do not specify a name for the … WebJan 16, 2024 · Accuracy is good. Note that you can achieve better results for this problem using different algorithms. Full Python Tutorial # Importing the libraries import numpy as …
Dataset pd.read_csv social_network_ads.csv
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WebNov 18, 2024 · Example of Logistic Regression in R. We will perform the application in R and look into the performance as compared to Python. … WebJan 18, 2024 · import pandas as pd # Importing the datasets: datasets = pd. read_csv ('Social_Network_Ads.csv') X = datasets. iloc [:, [2, 3]]. values: Y = datasets. iloc [:, 4]. values # Splitting the dataset into the Training set and Test set: from sklearn. model_selection import train_test_split: X_Train, X_Test, Y_Train, Y_Test = …
WebApr 10, 2024 · Visualize the Test set results: from matplotlib.colors import ListedColormap X_set, y_set = sc.inverse_transform(X_test), y_test X1, X2 = np.meshgrid(np.arange(start ... WebMay 22, 2024 · #1 Importing the libraries import numpy as np import matplotlib.pyplot as plt import pandas as pd #2 Importing the dataset dataset = pd.read_csv('Social_Network_Ads.csv') X = dataset.iloc[:, [2, 3 ...
WebMay 22, 2024 · #1 Importing the libraries import numpy as np import matplotlib.pyplot as plt import pandas as pd #2 Importing the dataset dataset = pd.read_csv('Social_Network_Ads.csv') X = dataset.iloc[:, [2, 3 ... WebMar 20, 2024 · filepath_or_buffer: It is the location of the file which is to be retrieved using this function.It accepts any string path or URL of the file. sep: It stands for separator, default is ‘, ‘ as in CSV(comma separated values).; header: It accepts int, a list of int, row numbers to use as the column names, and the start of the data.If no names are passed, i.e., …
WebDataset/Social_Network_Ads.csv. Go to file. Cannot retrieve contributors at this time. 401 lines (401 sloc) 14.8 KB. Raw Blame. UserID. Gender. Age.
WebAdvertising.csv Kaggle. Souvik Dey · Updated 3 years ago. file_download Download (2 kB. how many ps5s have been soldWebJun 14, 2024 · You've split the dataset into a train and test data. You then trained on the train dataset and then fitted on on the test data. You're then trying to assign back to the … how many ps5\u0027s have been soldWebdataset = pd. read_csv ('Social_Network_Ads.csv') X = dataset. iloc [:, [2, 3]]. values y = dataset. iloc [:, 4]. values Splitting the dataset into the Training set and Test set from … how many ps5s were soldWebExplore and run machine learning code with Kaggle Notebooks Using data from Social Network Ads. code. New Notebook. table_chart. New Dataset. emoji_events. New Competition. No Active Events. Create notebooks and keep track of their status here. add New Notebook. auto_awesome_motion. 0. 0 Active Events. expand_more. call_split. how many ps5 have they madeWebCASOS – Computational Analysis of Social and Organizational Systems. Index of Complex Networks (ICON) INSNA Data Sets. International Networks Archive at Princeton. … how many ps5 was soldWebHere we are importing the dataset Social_Network_Ads. It contains the data of people on a social network type the followin to get an insight of data. dataset.info() dataset.head() Here the X set contains two columns of: age; salary of the people; y contains the column of 0 or 1 which means the user purchsed the thing that the ads show or not. how dads should treat daughtersWeb# Importing the libraries import numpy as np import matplotlib.pyplot as plt import pandas as pd # Importing the dataset dataset = pd.read_csv('Social_Network_Ads.csv') X = dataset.iloc[:, [2, 3]].values y = dataset.iloc[:, 4].values # Splitting the dataset into the Training set and Test set from sklearn.cross_validation import train_test_split ... how many ps5s sold