Supervised machine learning algorithms are designed to learn patterns and make predictions based on labeled training data. The algorithm is provided with an input data set (features) and the corresponding right output data set (labels or target values). The goal is to train a model using this labeled data so that it can accurately predict …
7 Best Examples of Supervised Machine Learning Algorithms Read More »
Machine learning is a subset of artificial intelligence which allows computers to learn without human intervention. A set of data is provided as input to the model which uses an algorithm to make predictions or decision-making. These input variables are called features. Feature selection is a way of reducing the dimensionality of the feature space …
3 Types of Feature Selection in Machine Learning Read More »
Machine learning is a field of artificial intelligence that focuses on developing algorithms and models capable of learning from data and making predictions or taking actions without explicit programming. The steps in machine learning life cycle involve training models on labelled data to recognize patterns and relationships, enabling them to generalize and make predictions on …
6 Important Steps in Machine Learning Life Cycle: From Data to Insights Read More »
Statistics as used in data science, refers to the branch of mathematics that involves collecting, analyzing, interpreting, and presenting data. It encompasses a range of techniques and methodologies to extract meaningful insights from datasets and make data-driven decisions. In this blog, you would be learning about different types of important statistics for data science. Data …
Important Statistics for Data Science and Their Uses in 2023 Read More »
As we all know ,in machine learning, the Classification model divides the data into categories. However, after training the model using cleaned and pre-processed data, it is not easy to know if our classification model will produce the desired result. In such a situation, the Confusion matrix proves to be very useful. In this blog, …
Interpreting the ultimate confusion Matrix in Machine Learning in 2023 Read More »
