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Internet of Things(IoT), Advanced Data Science, Machine Learning & Deep Learning with Python
Training
In New Panvel ()
Description
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Type
Training
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Level
Beginner
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Duration
4 Days
Module 1: Python Basics
1. Python Introduction
2. Using the Interpreter
3. Python Scripting
4. Working with Variables in Python
5. Numeric Operations in Python
6. Python Compound Statements
7. Python String Types
8. Python's Tuples
9. Python's Lists
10. Python Dictionaries
11. Creating Python Functions
12. Classes and Objects
Module 2: Internet of Things
13. Arduino15. Embedded Linux Basics
14. IoT with Raspberry Pi
15. Cloud Connectivity, Time Series Data bases & visualization
Module 3: Data Science/ Data Analytics, Machine Learning & Deep Learning
Pre-requisite: For this module, participants must have completed IoT with Python training
16. Intro to Data Science
17. Working with arrays & matrix (using numpy)
18. Working with Series & DataFrames
19. Working with Data:
20. Data Visualization
21. Statistics Overview
22. Predictive Models
23. Machine Learning
24. More Data Mining and Machine Learning Techniques
25. Recommender Systems
26. Dealing with Real-World Data
27. Experimental Design
28. Deep Learning and Neural Networks
Reviews
Subjects
- Internet of things
- IoT
- Python
- Python Functions
- Python Modules
- Python Machine Learning
- Python Deep Learning
- Neural Networks
- Raspberry pi
- Embedded
- Embedded linux
- Science
- Advanced
Teachers and trainers (1)
Ganesh Naik
Freelance Consultant and Corporate Trainer at Levana Technologies
Freelance Consultant & Corporate Trainer in Embedded Android, Embedded Linux, Device Drivers, Unix System Programming and Embedded C++/C Programming Specialties: Corporate Training & Consultancy in following Android Device Driver Development and Embedded Android Android Application Development Embedded Linux & Device Drivers Development
Course programme
Duration: 4 full days (2 Weekends)
This is a hands-on course, designed to help the developers to speedup in Python, as quickly as possible.
The participant's in this course will experience the following:
· Architecture
· Input and output
· Lists, Tuples, set & Dictionaries
· Decision Making & Loops
· Error handling.
· Function
· Object-oriented features. Classes & Objects
· Creating and using libraries and packages.
· Regular Expressions
· Database access –
· CSV, JSON handling
· Multi-threaded Programming
· Understand Basic Statistics
· Working with Arrays, Matrix, Series, Dataframes
· Data Visualisation
· Predictive models
· Dealing with Real world data
· Data Mining & Machine Learning
· Experimental Design
· Big Data Analytics
· Deep Learning & Neural Networks
Internet of Things(IoT), Advanced Data Science, Machine Learning & Deep Learning with Python