The next topic to learn is Matrices, to set up a strong foundation for Data Science. We have learned Linear Algebra, Coordinate Geometry, and Planes in previous articles. Introduction to Matrices […]
Foundations of Data Science: Matrix and Matrices Read More »
We are setting up the foundation of Data Science with a brief introduction to Planes. This is the third article in the Data Science Foundation series. We have learned about
We are learning the basics of Data Science. This is the second article on Coordinate Geometry which is the second step of the data science foundation. Read the first article
Foundations of Data Science: Coordinate Geometry Read More »
Artificial intelligence (AI) is a branch of computer science that deals with building smart machines or computers that can think, make decisions, and perform tasks with intelligence like human beings.
Table of Content Introduction Classification metrics: Accuracy Confusion Matrix Precision and Recall F1 Score AUC-ROC Log Loss Hamming Loss Conclusion Introduction Classification models are one of the most popular models
Performance Metrics for Classification: Data Science with Python Read More »
Table of Contents What is the t-SNE Algorithm? Aim of t-SNE Usage Science behind t-SNE Python Code with Results Limitation Conclusions What is t-SNE Algorithm? The term “t-Distributed Stochastic Neighbor
t-distributed Stochastic Neighbor Embeddings (t-SNE) Read More »
Performance evaluation metrics are used to measure the quality of the statistical or machine learning model. Evaluating machine learning models or algorithms is an equally essential step, similar to data
Performance Metrics for Regression: Data Science with Python Read More »
This article is in continuation to Recommender System with Python Code Implementation-Part 1 where we have discussed content-based filtering. Click on the link below for Part 1. Recommender System with
Recommender System with Python Code Implementation-Part 2 Read More »
One can easily learn Data Science online. There are many courses available, but we have chosen the top 5 data science courses: 1. Introduction to Data Science Specialization by IBM
