ML for Software Industry

In this article, we want to identify the compounds with the best effect on Acetylcholinesterase protein using XGBoost Machine Learning Algorithm. We will be using the famous ‘Chembl’ database to demonstrate the complete use-case.

Here we will cover two unordered data structures frequently used in Artificial Intelligence applications: Sets and Dictionaries.

Sentiment Analysis is a technique that comes under natural language processing(NLP) and is used to predict the emotions reflected by a word or a group of words. In this blog, we will discuss one of the simplest probabilistic algorithms, Naive Bayes to predict the sentiments using their tweets.

In this article, we will discuss two data structures tuples and lists in Python. They are frequently used in Machine Learning and Data Science. These data types are also called compound data types because they can store mixture of primitive data types like Strings, ints, and floats.

Temporal attributes are crucial since they help clarify the cyclic trends in data. This article will talk about all basic date-time manipulations, explorations, transformations, and some miscellaneous applications.

t-SNE is a non-linear dimensionality reduction algorithm used for exploring high-dimensional data. It stands for t-distributed Stochastic Neighbor Embedding, where t represents "t-distribution”.