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About Machine Learning and Data Science Master
This document provides an overview of the topics that will be covered in a Machine Learning and Deep Learning course. The course introduces core Python concepts and libraries like NumPy and Pandas. It covers machine learning algorithms like linear regression, logistic regression, decision trees, and clustering. Deep learning techniques like CNNs, RNNs and LSTMs are also included. The course discusses projects in areas such as NLP, time series analysis, and deploying models on platforms like Spark, AWS and Azure. Tableau and Power BI are also covered.
Detailed Information
| Author: | ['Hrisav Bhowmick'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 19 |
| Language: | English |
| Format: | |
| Price: | FREE |
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