Data Science Learner

Top 11+ Data Visualization Tools for every Data Scientist : 2022

Best Python IDEs for Data Science in 2022

Top 5 Websites for Python Learning : For You (Data Science Learner)

Numpy

Numpy is a popular Python package that allows you to create and manipulate numpy array. You can do complex mathematical calculations on the array in a simple array.

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Pyspark is spark implementation in Python. In processing big data we use Pyspark which provides a fast and scalable framework for all kinds of data manipulation and engineering. Let’s start our exploration journey in Pyspark.

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OpenCV

OpenCV also knows as open-source computer vision. It is a computer vision and machine learning library. It has a range of functions and algorithms that allows you to perform various tasks related to image and video processing, including object detection, recognition, tracking, and manipulation.

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Pandas

We use the panda's Python library for tabular data ( row & column) manipulation and handling. Pandas is very compatible with most of the data science libraries like scikit-learn, tensorflow etc.

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Matplotlib

Matplotib is a Python library that allows you to create different visualization for better analysis. It provides a wide range of functions and tools for generating various types of plots, charts, and figures.

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Machine Learning

Machine Learning solves many complex problems we can not frame into logic. These are all data-driven problems like Text classification, Text Clustering, Recommendation system, and object recognition.

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Python Exception

You may get the exception error when you try to execute the Python program in Python. It stops the normal flow of the program and raises an exception object.An Exception can be caused for many reasons, most of which are ModuleNotFoundError, ImportError, AssertionError, ValueError etc.

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