Information on the internet is rapidly growing day by day. Some of the
information may be related to the person or not. The amount of data on the internet
is very vast, and it is tough to store and manage. So the organization of massive
amounts of data has also produced a problem in data accessing. The rapid expansion
of the web has provided an excellent opportunity to analyze web access logs. Data
mining techniques were applied for extracting relevant information from a massive
collection of data, but now it is a traditional technique. The web data is either
unstructured or semi-structured. So there is not any direct method in data mining for
it. Here Python programming language and Machine Learning (ML) approach is used
from handling such types of data. In this paper, we are analyzing weblog data through
python. This approach is useful for time and space point of view because because
python has many libraries for data analysis.
Keywords: Data mining, Machine learning, Weblog, Python, World Wide Web
