Checkout video for Tutorial : https://www.youtube.com/watch?v=VOeVKoaRkqI Here are the steps to use the OpenAI API for ChatGPT : Sign up for an OpenAI API key: To use the OpenAI API, you will need to sign up for an API key on the OpenAI website. …

Linear regression is a statistical method that is used to model the linear relationship between a dependent variable and one or more independent variables. The assumptions of linear regression are important to ensure the validity and reliability of the results obtained from the analysis. …

>>>>>>>>>>>> watch this video for more demo <<<<<<<<<<<<<<<<< GFG GAN (Generative Face Completion and Editing with GAN) is a deep learning model architecture that combines a generative adversarial network (GAN) with an encoder-decoder architecture for face restoration and editing. The GFG GAN model takes a partially occluded or damaged…

Artificial Intelligence (AI) has already started to change the way coding is done and will continue to do so in the future. As AI technology becomes more advanced, it has the potential to transform the coding industry in several ways. Automated Code Generation One of the biggest impacts that AI is expected to…

Python has been gaining popularity in recent years as a preferred choice for data analysis and statistical computing, potentially replacing R and SAS in many industries. …

In the above Video, we took an interview with ChatGPT. Purpose of Interview: to test the capabilities of ChatGPT as a language model. Tasks are done by ChatGPT: Creation of a machine-learning article Creation of a poem based on Topic Creation of a song based on a story Solving complex coding problems Write a script for Youtube Video with Descriptions, Tags, and title suggestion Asking to compare ChatGPT performance with Google

1. Imputation Techniques: Imputation techniques are used to remove outliers from the dataset. The following are the most commonly used imputation techniques: Imputation (capping): Imputation involves replacing the outliers with a fixed value, such as the mean, median, mode, or a static value determined by a business expert. Mean imputation…

Outlier: Data points that are far away from observations/Regression Data Points. 1. How outliers are introduced in the data Data Entry Error: Refers to errors made during manual entry of data into a database or spreadsheet. Measurement Error: Refers to errors made during data collection due to inaccuracies in instruments or techniques. Intentional Error: Refers to errors that are deliberately made, such as using fake or dummy data in…

Problem Statement: This step is about identifying the problem that needs to be solved using data science. It involves defining the goals and objectives of the project, as well as understanding the context in which the problem exists. Data Gathering and Data Validation: This step involves collecting the data that…