Load or Extract Data from MySQL DB or CSV file for ML | Extract Data using Sklearn Python for ML

Pubblicato il: 02 febbraio 2019
sul canale di: The AI University

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Welcome to "The AI University".
This video titled "Load or Extract Data from MySQL DB or CSV file for ML | Extract Data using Sklearn Python for ML" explains the steps to load or import data from MySQL Database or .csv file or using scikit learn package to pandas/python data frame. Data Extracted can then be used to build Machine Learning Models. This is a machine learning & deep learning Bootcamp series of data science. You will also get some flavor of data engineering as well in this Bootcamp series. Through this series, you will be able to learn each aspect of the Data science lifecycle right from collecting data from disparate data sources, data preprocessing to doing visualization as well as model deployment in production. You will also see how to perform data preprocessing and build, regression, classification, clustering as well as a recurrent neural network, convolution neural network, autoencoders, etc. Through this series, you will be able to learn everything pertaining to Machine and Deep Learning in one place. Content & Playlist will be updated regularly to add videos with new topics.

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DISCLAIMER: This video and description may contain affiliate links, which means that if you click on one of the product links, I’ll receive a small commission.

#MySQLtoPythonDataframe #csvfiletodataframe #SklearntoDataframe

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