I have a [ name of dataset ] dataset, write a machine learning model in Python that predicts [ name of labeled columns ].

I have a [ iris ] dataset, write a machine learning model in Python that predicts [ types ].

I have a [ dataset name ] dataset, please write the data visualization exploration code in Python

I have a [ user churn ] dataset, please write the data visualization exploration code in Python

I need to generate a randomized dummy data, please provide to generate a [ 1000 ] rows.[ 4 ] Columns. [ "Card Number", "Credit Limit", "Late or Not", "Card Length" ] Python code

Please help me write a regex in Python to match strings that satisfy the following conditions:[ Includes the words "machine" and "learning", and ends with an exclamation point ]

I have a local copy. [ 2010/01/01 to 2020/01/17 ] For a time series dataset of Apple stock trading prices, write a machine learning model in Python that predicts the trading price columns of the [ Close ]Please use the [ 2010/01/01 to 2018/12/31 ] as the training set, using [ Data from 2019/01/01 to 2020/01/17 ] As a validation set

I have an unbalanced data on which I need to train a machine learning model, and the predictor variables are [ Smoking ]How can I perform oversampling or undersampling of my data in Python?

I trained a [ Decision tree model ]Please help me write Python code to find the most important features.

I have a dataset. [ smoking.csv ], contains columns:[ "smoking", "gender", "age" ... etc.], I want you to help me draw a data visualization chart.[ Chart showing the correlation between the columns of features and whether they are "smoking" or not, please use Matplotlib to do this, and please help me choose an attractive color scheme and a suitable size for the report.]

I want you, as a data analyst, to help me create a NumPy array in the shape of ( 3, 4, 10 )Please click on the [ 1 to 10 ] Randomly generate the initial value of the array between and output it

Check my dataset [ house.csv ] In the case of the presence of [ Duplicate lines, nulls, and other illegal characters ]If [ Yes ]please [ Tallying Them Up and Removing Them ]