Atsiliepimai
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In This Step-By-Step Guide You Will Learn
• How to download free datasets
• What tools and machine learning libraries you need
• Data scrubbing techniques, including one-hot encoding, binning and dealing with missing data
• Preparing data for analysis, including k-fold Validation
• Regression analysis to create trend lines
• k-Means Clustering to find new relationships
• The basics of Neural Networks
• Bias/Variance to improve your machine learning model
• Decision Trees to decode classification, and
• How to build your first Machine Learning Model to predict house values using Python
In This Step-By-Step Guide You Will Learn
• How to download free datasets
• What tools and machine learning libraries you need
• Data scrubbing techniques, including one-hot encoding, binning and dealing with missing data
• Preparing data for analysis, including k-fold Validation
• Regression analysis to create trend lines
• k-Means Clustering to find new relationships
• The basics of Neural Networks
• Bias/Variance to improve your machine learning model
• Decision Trees to decode classification, and
• How to build your first Machine Learning Model to predict house values using Python
Atsiliepimai