Statsmodels is an open-source statistics-driven module that offers various classes and functions to the many statistical models available for statistical analysis and exploration of data. The module covers a vast number of models ranging from Linear Regression, Discrete Models, Time Series Analysis, Survival Analysis, and many other miscellaneous models.
Python is a popular high-level object-oriented programming language which is used widely by a huge number of software developers. Guido van Rossum designed this in 1991, and Python software foundation has further developed it. But the question is, with dozens of programming languages based on OOP concepts already available, why this new one? So, the main purpose to develop this language is to emphasize code readability and scientific and mathematical computing (e.g. Python's syntax is very clean and short in length.
Many developers (including myself) have included learning machine learning in their new year resolutions for 2018. Even after blocking an hour everyday in the calendar, I am hardly able to make progress. The key reason for this is the confusion on where to start and how to get started. It is overwhelming for an average developer to get started with machine learning.
In this article, you'll see top 30 Python libraries for Machine Learning. In this article, you'll see top 30 Python libraries for Machine Learning. Today, Python is one of the most popular programming languages and it has replaced many languages in the industry. There are various reasons for its popularity and one of them is that python has a large collection of libraries. Python is one of the most widely used languages by Data Scientists and Machine Learning experts across the world. Though there is no shortage of alternatives in the form of languages like R, Julia and others, python has steadily and rightfully gained popularity. Similar to the Google Trends shown above(the plot is prepared using matplotlib and pytrends), confidence is visible year over year with python featuring way above its peers in the StackOverflow surveys for 2017 and 2018. These trends/surveys are the consequences of ease of use, shorter learning curve, widespread usage, strong community, large number of libraries covering depth and breadth of a number of research and application areas. The amazing popularity might make one think that python is the gold standard for Machine Learning.