Certainly, here’s an example Python code that can be used to read a large 50 GB CSV file in chunks: pythonCopy codeimport pandas as pd # set the file path and name of the CSV file file_path = “path/to/csv/file.csv” # define the chunk size chunk_size = 100000 # create an empty list to store the chunks chunks = [] # […]
Here’s an example Python code for identifying outliers in a machine learning dataset using Jupyter Notebook: In this example code, we first load the dataset into a pandas dataframe using the pd.read_csv() function. We then define a function called detect_outliers that takes in a dataset and uses the z-score method to detect outliers. The function first calculates the mean and […]
Here’s an example Python code for identifying outliers in a dataset using machine learning in Jupyter Notebook: pythonCopy codeimport pandas as pd import numpy as np from sklearn.ensemble import IsolationForest # load the dataset data = pd.read_csv(“path/to/dataset.csv”) # extract the columns of interest columns_of_interest = [“col1”, “col2”, “col3”] X = data[columns_of_interest].values # create an instance of the Isolation Forest algorithm […]
Certainly, here’s an example Python code for identifying outliers in a dataset using machine learning in a Jupyter notebook: pythonCopy codeimport pandas as pd import numpy as np from sklearn.ensemble import IsolationForest # load the dataset into a pandas dataframe data = pd.read_csv(‘dataset.csv’) # specify the column(s) to be used for outlier detection X = data[[‘column1’, ‘column2’]] # create an […]
10 AI language models other than chat gpt: It’s worth noting that each of these models has its own strengths and weaknesses, and different use cases may call for different models.