how to enhance functions without changing the code? generators in python – how to lazily return values only when needed and save memory? iterators in python – what are iterators and iterables? python module – what are modules and packages in python? object oriented programming (oops) in ...
There are multiple ways of dealing with unbalanced data, with one approach being to oversample the minority class (in this case, class=0). I will not go into details here. However, if you are interested in oversampling, you can find a section on it in my previous story on logistic ...
If you're short on time and want to know how to learn AI from scratch, check out our quick summary. Remember, learning AI takes time, but with the right plan, you can progress efficiently: Months 1-3: Build foundational skills in Python, math (linear algebra, probability, and statistics...
Some data science tools will only work when the input data are numeric. This particularly true of machine learning. Manymachine learningalgorithms – like linear regression and logistic regression – strictly require numeric input data. If you try to use them with string-based categorical data, the...
What is Logistic Regression in R How Businesses can benefit from using Analytics on their website? How to Calculate Percentage in Excel Using Percentage Formula Types of Analyst Roles in 2025 What is HR Analytics ? What Is K means clustering Algorithm in Python Understanding Skewness and Kurtosis...
First, we need to feed the dataset into the machine learning algorithm, a training dataset, or we can say that the training dataset is used as input for the algorithm. Now we need to split the dataset. At the point when we fabricate AI models in Python, the Scikit Learn bundle gives ...
This tutorial will guide you through the process of performing linear regression in R, which is important programming language. By the end of this tutorial, you will understand how to implement and interpret linear regression models, making it easier to apply this knowledge to your data analysis ...
Logistic regression is a machine learning classification algorithm that is used to predict the probability of certain classes based on some dependent variables
Apply the scale to training data. This means you can use the normalized data to train your model. This is done by calling the transform() function. Apply the scale to data going forward. This means you can prepare new data in the future on which you want to make predictions. The defaul...
Additionally, you can apply filters based on your learning goals. Here are the few links related to the Azure openAI:https://learn.microsoft.com/en-us/training/modules/explore-azure-openai/ https://learn.microsoft.com/en-us/training/modules/get-started-openai/ ...