Evaluation matrix
In Supervised Machine Learning, there are two types of problems. One is Classification and the other one is Regression. The […]
In Supervised Machine Learning, there are two types of problems. One is Classification and the other one is Regression. The […]
The topic I am going to discuss today is the foundation of data science: Business Moments. Without this parameter in
Introduction: Data Types in ML Data Types are a way of classification that specifies which type of value a variable
Data types In Machine Learning Read More »
In supervised machine learning models, we very often come across the term like bias and variance. The Model’s algorithms understand
Bias and Variance in Machine Learning Read More »
Introduction: K-Fold Cross-Validation Generally, while building machine learning models, the dataset is split into train and test datasets so that
K-Fold Cross-validation Read More »
Introduction In the machine learning classification problem, we very often deal with an imbalanced dataset. however, By an imbalanced dataset,
Synthetic Minority Oversampling Technique Read More »
Image Source: www.trainingjournal.com In the real world, nothing is 100 percent perfect. So, the case in the data world. A
Balancing Imbalanced Dataset Read More »
In this article, I will be discussing all the steps of the ML PLC or project Life Cycle sequentially with
ML PLC With Iris Dataset Read More »