Machine Learning Basics with Python and Libraries

Big Data Trunk is all about Big data and Hadoop providing training, placement and job/project assistance on Big data.

Big Data Trunk

This course is provided by Big Data Trunk for Technology Training Program but a limited few seats available to the public.

June 21,28 2024 2 Half Day (9:00 a.m to 12:00 p.m PST) After this course, you will be able to: <ul><li>Describe the role of Machine Learning and where it fits into Information Technology strategies</li><li>Explain the technical and business drivers that result from using Machine Learning</li><li>Describe Supervised and Unsupervised learning techniques and usages</li><li>Understand techniques like Classification, Clustering and Regression</li><li>Discuss how to identify which kinds of technique to be applied for specific use case</li><li>Understand the popular Machine offerings like Amazon Machine Learning, TensorFlow, Azure Machine Learning, Spark mlib, Python and R etc.</li><li>Install and Setup Anaconda.</li><li>Perform hands-on activity using Jupyter Notebooks.</li></ul> Topic Outline: Course Introduction History and background of Machine LearningCompare Traditional Programming Vs Machine LeaningSupervised and Unsupervised Learning OverviewMachine Learning patterns- Classification- Clustering- RegressionGartner Hype Cycle for Emerging TechnologiesMachine Learning offerings in IndustryHands-on exercise 1: Install and Setup Anaconda.Python Libraries- NumPy- Pandas- Scikit LearnHands-on exercise 2: Data Analysis using PandasAlgorithms- Linear Regression- Decision Tree- Random Forest- K-Means ClusteringHands-on exercise 3: Perform Linear regression using Scikit-learnHands-on exercise 4: Perform Decision tree on Titanic Data set using Scikit-learnReferences and Next steps

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Machine Learning Basics with Python and Libraries

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Machine Learning Basics with Python and Libraries

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