Machine Learning with Python
About Course
Machine learning is the pillar of Artificial Intelligence projects and today industry is heading towards AI projects from traditional software project. Today, every organization wants better personalization, smarter recommendations, and improved search functionality to enhance their user experience and creating value across many industries.
The basic difference between AI driven project and traditional project lies in the technology stack, the skills required for an AI-based project, and the necessity of deep research. To implement your AI aspirations, you should use a programing language that is stable, flexible, and has tools available. Python offers all of this, which is why we see lots of Python AI projects today. Benefits that make Python the best fit for machine learning and AI-based projects include simplicity and consistency, access to great libraries and frameworks for AI and machine learning (ML), flexibility, platform independence, and a wide community. These add to the overall popularity of the language.
Affluenz IT Academy will make you a machine learning expert who will have detailed insight on focus on deep learning architectures such as deep neural networks, deep belief networks, recurrent neural networks and convolutional neural networks- that have been applied to fields including computer vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation etc. that you can very well design, build and develop using Python programming language
Key Features
- 40 – 80 hours of instructor led online training
- Certificate of completion
- 2 Real-life Industry Project
- Certificate of Internship
- Virtual Internship
- Dedicated awareness session from Industry experts
Online Classroom with virtual Internship
- 3 Weeks’ course
- 1 Week Live Project Internship
- Certificate of completion
- Certficate of Internship
9999/-
Online Classroom with Corporate Internship
- 6 Weeks’ course
- 2 Week Live Project Internship
- Certificate of completion
- Certficate of Internship
14,999/-
Corporate Training
- Self paced + Instructor led classes.
- Flexible pricing option.
Why Machine Learning with Python
According to Forbes, the cognitive and AI systems market will achieve an impressive 37.3% compound annual growth rate (CAGR) from 2017-2022. According to New IDC Spending Guide, IDC Worldwide Spending on Cognitive and Artificial Intelligence Systems Forecast to Reach $77.6 Billion in 2022, According to a survey of 2,000+ data scientists and ML developers – conducted by Developer Economics in 2017 – Python takes the prize for being the most popular programming language for machine learning. Python also has a huge number of libraries; that are ready to use for ML and data analysis purposes.
Who should take this Machine Learning Training Course?
Affluenz IT Academy crafts this course to all who aspire to build a career in Data science & Machine learning like AI Engineer, Business Analyst, Information architect and so on. We recommend this course to
- Developers aspiring to be a data scientist or machine learning engineer
- Analytics managers who are leading a team of analysts
- Business analysts who want to understand data science techniques
- Information architects who want to gain expertise in machine learning algorithms
- Analytics professionals who want to work in machine learning or artificial intelligence
- Graduates looking to build a career in data science and machine learning
- Experienced professionals who would like to harness machine learning in their fields to get more insights
Pre-requisites of Machine learning Course
Participants in this Machine Learning online course should have:
- Basic understanding on Python programming / Familiar with Python Fundamentals
- Basics of statistics and mathematics
Course Preview
Course Preview
4 weeks course
Module 1: Introduction to Machine Learning
1a> What is Machine Learning
1b> Basics of Machine Learning
1c> Features of Machine Learning
1d> Relation to Data Mining, Optimization & Statistics
Module 2: Types of Learning algorithms:
2a. Supervised and Semi Supervised learning
2b. Unsupervised learning
2c. Reinforcement learning
Module 3: Machine Learning Techniques:
3a. Feature Learning & Sparse dictionary learning
3b. Anomaly detection
3c. Decision tree
3d. Association Rules
Module 4: Data science with Python
4a> Basics of Python
4b> How Python can be utilized for Data Science
Module 5: Python Environment Setup and Essentials
5a> How to set up Python Environment
5b> Python (NumPy) – Mathematical Computing
5c> Python (SciPy) – Scientific Computing
- Module 6: Live Project on Big Data & Hadoop
6a> Assessment
6b> Live Project
- Module 7: Certification & Closure
7a> Certification of Completion
7b> Review and Feedback
8 weeks course
Module 1: Introduction to Machine Learning
1a> What is Machine Learning
1b> Basics of Machine Learning
1c> Features of Machine Learning
1d> Relation to Data Mining, Optimization & Statistics
Module 2: Types of Learning algorithms:
2a. Supervised and Semi Supervised learning
2b. Unsupervised learning
2c. Reinforcement learning
Module 3: Machine Learning Techniques:
3a. Feature Learning & Sparse dictionary learning
3b. Anomaly detection
3c. Decision tree
3d. Association Rules
Module 4: Advanced Machine Learning Features:
4a> Regression
4b> Classification
4c> Data Clustering -Targeting Unsupervised learning
Module 5: Data science with Python
5a> Basics of Python
5b> How Python can be utilized for Data Science
Module 6: Python Environment Setup and Essentials
6a> How to set up Python Environment
6b> Python (NumPy) – Mathematical Computing
6c> Python (SciPy) – Scientific Computing
Module 7: Advanced Python
7a> Data Manipulation with Pandas
7b> Natural Language Processing with Scikit Learn
7c> Data visualization in Python using matpolib
7d> Web scraping
7e> Handshaking with Hadoop MapReduce and Spark
Module 8: Programming with Python 3.x
8a> Basics of Python Programming
8b> Key methods and its usage
8c> Programming Assignments
- Module 9: Live Project on Python
9a> Assessment
9b> Live Project
- Module 10: Certification & Closure
10a> Certification of Completion
10b> Internship Certificate
10c> Review and Feedback
Sample Certification
- Certificate of Completion
- Internship Certificate