Natural language processing (NLP) is a significant subfield of machine learning, which deals with the interactions between machines (computers) and human (natural) languages. Natural languages are not limited to speech and conversation; they can be in writing or sign languages as well. The data for Natural Language Processing (NLP) tasks can be in different forms, […]
Dimensionality reduction is an important machine learning technique that reduces the number of features and, at the same time, retains as much information as possible. It is usually performed by obtaining a set of new principal features. As mentioned before, it is difficult to visualize data of high dimensions. Given a three-dimensional plot, we sometimes
Pandas is an open-source Python library providing high-performance data manipulation and analysis tools using its powerful data structures. The name Pandas is derived from the word Panel Data – an Econometrics from Multidimensional data. Prior to Pandas, Python was majorly used for data munging and preparation. It had very little contribution to data analysis. Pandas
The most important object defined in Numpy is the N-dimensional array type also ndarray. It describes the collection of items of the same type. Items in the collection can access using a zero-based index. Every item in a ndarray Takes the same size as the block in the memory. Each element in ndarray is an
In this complete guide to data science with python, you will to some of the most important libraries for data analysis, machine learning, scientific computing, data science, including NumPy, Pandas, Matplotlib, and Seaborn. You will also learn how to use Python for data visualization, NLP, and predictive modelling. This starts by learning about the basics
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