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Data Science With Python course in jaipur
Data Science with Python involves utilizing Python programming language and various libraries and tools to extract insights and knowledge from large volumes of data. This comprehensive field encompasses data collection, cleaning, analysis, visualization, and prediction.
Python provides a wide range of libraries and frameworks specifically designed for data science, including:
NumPy: A fundamental library for scientific computing that provides support for large, multi-dimensional arrays and mathematical functions.
Pandas: A powerful library for data manipulation and analysis. It offers data structures like DataFrames for efficient data handling and manipulation.
Matplotlib: A popular plotting library for creating visualizations such as line plots, scatter plots, histograms, and more.
Seaborn: A high-level data visualization library that builds on top of Matplotlib and offers enhanced visualizations for statistical analysis.
Scikit-learn: A versatile machine learning library that provides a range of algorithms for tasks like classification, regression, clustering, and model evaluation.
TensorFlow and Keras: Libraries for building and training neural networks and deep learning models. For More Information: caddeskindia.com/course/data-science-with-python/
Data Science With Python course in jaipur
Data Science with Python involves utilizing Python programming language and various libraries and tools to extract insights and knowledge from large volumes of data. This comprehensive field encompasses data collection, cleaning, analysis, visualization, and prediction.
Python provides a wide range of libraries and frameworks specifically designed for data science, including:
NumPy: A fundamental library for scientific computing that provides support for large, multi-dimensional arrays and mathematical functions.
Pandas: A powerful library for data manipulation and analysis. It offers data structures like DataFrames for efficient data handling and manipulation.
Matplotlib: A popular plotting library for creating visualizations such as line plots, scatter plots, histograms, and more.
Seaborn: A high-level data visualization library that builds on top of Matplotlib and offers enhanced visualizations for statistical analysis.
Scikit-learn: A versatile machine learning library that provides a range of algorithms for tasks like classification, regression, clustering, and model evaluation.
TensorFlow and Keras: Libraries for building and training neural networks and deep learning models. For More Information: caddeskindia.com/course/data-science-with-python/