Naive Bayes data-analysis In this project i have applied the naives bayes algorithm ... Made a simple classfier to help chatbot understand whether a chat is small talk or not used python, nltk and ...

Analyzing a data set and extracting key performance indicators ... The completion of this course involves working on a hands-on project developing a dashboard using Python.

They integrate seamlessly with common data formats used in analysis, provide extensive customisation options, and leverage optimised rendering techniques to visualise even large datasets efficiently.

However, in recent years the open source community has developed increasingly-sophisticated data manipulation, statistical analysis, and machine learning libraries for Python. We are now at the point ...

Many of the most useful insights—such as historical pricing trends, neighborhood appreciation rates, and off-market opportunities—are locked behind expensive services. But what if there were a way to ...

Python is one of the most popular languages for data analysis, due to its wide array of libraries, frameworks, and tools that make it easy to work with data of any size, format, and complexity.

Jumping into data analysis without proper data cleaning will certainly lead to incorrect results. The Python Data Cleaning Cookbook - Second Edition will show you tools and techniques for cleaning and ...

Python has taken the programming world by storm. It is now one of the most widely used languages, making its way into industries like artificial intelligence (AI), data science, web development, and ...

With the rise of freelancing opportunities, data analysts in India are witnessing many ways to market their talents, make ...

Most marketing professionals are familiar with various sources of customer data that promise insights for success. There are extensive sources of data, from customer surveys to digital marketing data.