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Event Name
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Hands-on experience of Machine Learning Regression Concepts in Python
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Description of the event
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Objectives : • Understanding the ML Regression techniques and Algorithm workflow as well as Python code required in execution. • Implementing these on Jupyter Notebook with hands on makes them practically understandable as well. • Analyzing Real World Problems and how they can be solved Area Covered :Overview of Machine learning, AI Overview, Data pre-processing steps, Training and test data, Python libraries, Linear Regression algorithms, Visualizing plots with various examples Summary of Regression done in Part I, Multiple Linear Regression, Support Vector Regression, Decision Tree Regression, Random Forest Regression, Evaluating Model Performance. Software used: Jupyter notebookProgramming language used: PythonPre-training software needed:1. Anaconda (can install from here Anaconda | Individual Edition) 2. Install Jupyter Notebook from Anaconda installed3. Also install respective libraries such as panda, numpy, matplotlib, etc. (pip install panda)Facilitators :Tushar Anand - Associate Consultant, OCC Global Signalling Sanchit Agarwal -Associate Consultant - 5 G
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Entity organizing the event, organizers
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Oracle Volunteers with ICT Academy
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