A Decision Tree is a hierarchical breakdown of a dataset from the root node to leaf node based on the governing attributes to solve a classification or regression problem
Customer Segmentation helps businesses to develop customer-focused marketing strategies and tactics. Every customer has a different taste; therefore, one single approach is not applicable for all the customers.
k-NN is the first “machine learning” algorithm developed. The unique thing is, it learns but without explicitly mapping input variables to the target variables.
Character recognition is a primary step in recognizing whether any text or character is present and whether our algorithms can recognize it or not in the given image.
We generally get confused and loosely refer maximal margin classifier, support vector classifier, and the support vector machine as support vector machines. After this blog, this confusion will be gone.
In this article, we will implement the complete machine learning process without using any of the frameworks. We will use NumPy and Matplotlib libraries to build our Machine Learning model from scratch.
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