what is Data Processing? Data processing in machine learning refers to the steps taken to prepare, clean, and transform the data before it is used to train a machine learning model. It is a critical step in the machine learning pipeline as the quality of the data can greatly impact the performance of the model. What are the step involve in Data Processing? Data processing can include a variety of tasks such as: Data cleaning: Removing missing or duplicate data, handling outliers, and dealing with inconsistent or inaccurate data. Data integration: Combining data from multiple sources to create a single data set. Data transformation: Scaling, normalizing, or encoding data to make it more consistent and suitable for the machine learning algorithm. Data reduction: Selecting a subset of the data to use for training and testing, or reducing the dimensionality of the data. Data splitting: Dividing the data into training and test set EDA (Exploratory Data Analysis) : EDA (Exploratory Data...
AI Will Rule the Future!! some of people says that AI reload the world as some good or bad ! . But AI can ruled the upcoming years where you learn how to play a game .Just you think about it. **You can learn in classroom from your teacher No! You can learn from Some paid course No! You can see any video to the game No! You can learn from your interest and you kill it ** Same like that AI is game which as infinity of level to play and see the your result in your eyes! Some of us! They can tell or told we can learn AI in some of the paid platforms😂 I tell you definitely Not !! . You can learn AI from open sourse Follow my chart to learn Artifical intelligence faster and easier: Follow my way to Learn AI for free and correct way: First you want learn AI you want to strong in programming I perfer Python programming langu...