Write a python program to read the dataset and display its information. Preprocess the data (drop null values etc.) Convert the categorical values into numeric format.

In this step-by-step tutorial, you'll learn how to start exploring a dataset with pandas and Python. You'll learn how to access specific rows and columns to answer questions about your data. …

Oct 14, 2022 · Here is how I define X and Y from my dataframe: #Create X X = MyNewDataSet.drop(['y'], axis=1) For X I am using multiple columns so all I do is remove the …

May 25, 2022 · Here we will discuss how to split a dataset into Train and Test sets in Python. The train-test split is used to estimate the performance of machine learning algorithms that are …

Mar 20, 2024 · Pandas can be used to read and write data in a dataset of different formats like CSV (comma separated values), txt, xls (Microsoft Excel) etc. In this post, you will learn about …

Write a Python program to display some basic statistical details like percentile, mean, standard deviation etc. of the species of ‘Iris-setosa’, ‘Iris-versicolor’ and ‘Irisversicolor’ of iris.csv …

Sep 9, 2010 · If you want to split the data set once in two parts, you can use numpy.random.shuffle, or numpy.random.permutation if you need to keep track of the indices …

Oct 3, 2022 · Exploratory data analysis is like detective work: searching for insights that identify problems and hidden patterns. Start with one variable at a time, then explore two variables, …

Step 1: Load the required libraries. Step 2: Load the dataset. Step 3: Separate numeric and categorical variables. There are 38 numeric and 43 categorical columns in the dataset. you …

Sep 23, 2023 · Write a Python program to create a box plot (or box-and-whisker plot) which shows the distribution of quantitative data in a way that facilitates comparisons between …