The Course Name: Python For Deep Learning

The Duration: 3 Days

Course Index

Day 1:

• Introduction to Model Driven Automation
• -Evolution of IT
• -Industry 4.0
• -IoT
• -Why Python is so importrant ?
• -What is DevOps
• -Why Model Driven Automation is so importrant ?
• -What is Intent Based Networking ?
• -Dev Ops & Intent Based Networking
• -What is Machine Learning ?
• -The Journey Of Artificial Intelligence
• -The relation Between Data Science and Machine Learning
• -Model Driven Automation : Rest API
• -API Types & API Data Formats
• -JSON, XML, YAML
• Parsing API With Postman
• -Colorado API, News API, Open Weather API
• Parsing API With Python Programming with Rest API Requests Library: -Colorado API, News API, Open Weather API
• -Parsing API Data Formats With Python Programming NASA API, Game of Thrones JSON, Star Wars JSON
• Create Your Own Weather Condition API -Parsing HTML Data For Creating Your Own API

Day 2: Data Science

• Create Chat Box With Webex API via WebHook
• -Create Bot Account
• -Add Bot Account to Webex
• -List Room ID & Messages Via Rest API
• -Send Messages to Bot Account Via Rest API
• -Send Messages From Bot Account Via Rest API
• -Web Hook System
• Parameter Management For API Via Automatic Email Through Python
• -How to send email through Python (with and without subject)
• -How to send email as time scheduled
• -How to send attached email to multiple receivers
• -Creating BitCoin API
• -Setting Parameters For BitCoin API With Automatic Email
• Object Oriented Programming
• Create A Python Unit Test
• -Unit Test Library
• -Evaluate Tests With UnitTest Library and Assert Function
• Creating Data Frame From CSV, Python Dictionary and JSON
• Parsing HTML Data Via OOP For Creating Custom Data Frame
• Working On Data Frames
• Data Visualization With MatPlotLib
• Working With Pandas and MatPlotLib
• Visualization of Turkish Super Leage Champions 2011- 2021: Mean, Variance and Sigma

Day 3: Machine Learning & Deep Learning

• Introduction To Probability
• -Random Walk Probability
• -Covid Project Probability
• -Birthday Problem Probability
• -Monty Hall Probability
• Heart Attack Analysis for Creating Value Added Busines Insights With SeaBorn Library
• Supervised ML With SciPy & Scikit-Learn Library For Predictions:
• -Linear Regression
• -Polynomial Regression
• -Multiple Regression
• What is Deep Learning:
• -What is Weight ?
• -What is Bias ?
• -What is Accuracy ?
• -What is Neuron ?
• -What is Perceptron ?
• -What is Multi Layer Perceptron ?
• -What is Activation Function ?
• -What is ReLu ?
• -What is Elu ?
• -What is Sigmoid ?
• -What is Loss ?
• -What is Accuracy ?
• -What is the difference between ML & ML ?
• Deep Learning With Keras:
• -Classifier patterns with Keras: Diabetic Prediction
• Image Processing With OpenCV, CVlib & Tensor Flow