I am an undergraduate student currently in my last year majoring in Statistics (Bachelors of Statistics) and have a strong interest in the field of data science, machine learning, and artificial intelligence. I enjoy diving into data to discover trends and other valuable insights about the data. I am constantly learning and motivated to try new things.
Image caption generator is the most used application in the industry these days. This article will tell you how to build and evaluate it.
In this article we will unravel in details about Long Short Term Memory or commonly known as LSTM Model especially befitted for beginners.
In this article, we will understand the nitty-gritty details about LSTMs, how we implement them, and why we need LSTMs if we had RNN already.
In this article we will dig a bit deeper into Recurrent Neural Networks, we will see the mathematical details and understand it simply
In this article we will introduce Recurrent Neural Networks(RNN) which is one of the most important concepts when it comes to deep learning
The Random Forest algorithm, a powerful supervised machine learning method for regression and classification. Learn its formula, mathematical equation, and applications.
Explore the capabilities of Support Vector Machine (SVM), an effective supervised algorithm specialized in complex datasets, on our article.
Master gradient boosting algorithm in machine learning with our comprehensive guide and take your data analysis skills to the next level.
In this article, we will discuss the mathematical intuition behind Naive Bayes Algorithm, and we’ll also see how to implement this in Python.
Understand in-depth how the Adaboost Algorithm works. Learn the advantages of Adaptive Boosting and how to use it for your projects.
