How to perform regression training using scikit…

To perform regression training using scikit-learn in Python, you can use the `LinearRegression` class from the scikit-learn library. Here is an example code snippet that shows h…

How to implement linear regression in NumPy

To implement linear regression in NumPy, you can first define your input matrix X and output vector y, and then use the linear algebra capabilities of NumPy to calculate the coeff…

How to implement logistic regression in NumPy

To implement logistic regression in NumPy, you can define the input matrix X and output vector y, and then use NumPy to calculate the coefficients of the logistic regression model…

How To Convert NumPy Tuple To List In Python

To convert a NumPy tuple to a Python list, you can use the `tolist()` function that is provided by the NumPy module. The `tolist()` function takes a NumPy tuple as input and retur…

How to make a matrix in Python

To create a matrix in Python, you can use NumPy package which provides easy and efficient ways to create, manipulate, and analyze numerical data. NumPy supports multi-dimensional …

How to create an empty array in Python

There are several ways to create an empty array in Python, depending on the specific data structure you want to create: 1. For a simple one-dimensional array, you can create an …

How to get shape of an array in python

To get the shape of an array in Python, you can use the `shape` attribute for numpy arrays or the `shape` method for regular Python lists. Here are some examples: For a numpy ar…

How to concatenate arrays in python

To concatenate arrays in Python, you can use the `numpy.concatenate()` function if you have NumPy arrays, or the `+` operator if you have lists. Here are some examples: For NumP…

How to Calculate square Root in Python

There are multiple ways to calculate the square root of a number in Python. Here are a few examples: 1. Using the `sqrt()` function from the `math` module: ``` import math n…

How to Querying Numpy Arrays Using the Where() …

To query NumPy arrays using the `where()` method in Python, you can use the following syntax: ``` import numpy as np # create a sample NumPy array arr = np.array([1, 2, 3, 4, …