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– Get ready to dive into the world of Data Science and Machine Learning concepts using Python hands-on.
– Describe what are the basic functionalities of Python and learn about different libraries such as Pandas, Matplotlib, NumPy, etc.
– Gain job-ready skills using Python hands-on scripting based on various case studies.
– Import different Exploratory Data Analysis techniques to analyze and visualize the data.
-Apply and compare different machine learning algorithms and apply Dimensionality Reduction Techniques on datasets. Train and compare machine learning models to implement NLP algorithms.
– Kickstart your learning of Python for data science, and be involved with several capstone projects.
– Acquire working knowledge of deep learning models for advanced processing.
– The capstone project courses as the mathematics behind tensor-flow and the Keras will lead you to a better understanding of real-world projects.
– Build more powerful queries in problem scoping Neural Network, build the architecture of multi-layers CNN.
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