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What is Machine Learning Rule-based algorithm V/S machine learning algorithm
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Difference between Supervised and Unsupervised learning.
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Classification vs Regression
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K-NN classification
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Linear Regression
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Logistic Regression Training ,Testing and Cross Validation Data
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pickling and scaling
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Techniques, Error Metrics, Features and label
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Competing With Analytics
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Using Analytics to Create Value
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Enterprise Data Management and Analytical and Modeling Tools
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Value Chain and Business Analytics
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Marketing/Sales and Valuation Processes
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Supply Chain, Enterprise Risk, and HR Processes
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Identifying and Defining Organizational Problems and Opportunities
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Telling the Story With Data – Communications and Visualization
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Enterprise Database and Data Models
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Extracting Data from a Database
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The Data Analysis Landscape and an Overview of Machine Learning
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Getting Data from Social Networks and Geolocalisation
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Clustering and Understanding the Relation of Things
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Black Box vs. White Box Approach and the Implications
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Classification Black Box Methods
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Large-Scale Implementation of Hadoop and MapReduce
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Statistics – A Data-Driven Science
Statistics – A Data-Driven Science
Simple Linear Regression
Simple Linear Regression