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

9,999/-

Online Classroom with Corporate Internship

  • 6 Weeks course
  • 2 Weeks 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

4 Weeks Course

  1. Module 1: Introduction to Machine Learning
    • What is Machine Learning
    • Basics of Machine Learning
    • Features of Machine Learning
    • Relation to Data Mining, Optimization & Statistics
  1. Module 2: Types of Learning algorithms:
    • Supervised and Semi Supervised learning
    • Unsupervised learning
    • Reinforcement learning
  1. Module 3: Machine Learning Techniques:
    • Feature Learning & Sparse dictionary learning
    • Anomaly detection
    • Decision tree
    • Association Rules
  1. Module 4: Data science with Python
    • Basics of Python
    • How Python can be utilized for Data Science
  1. Module 5: Python Environment Setup and Essentials
    • How to set up Python Environment
    • Python (NumPy) – Mathematical Computing
    • Python (SciPy) – Scientific Computing
  1. Module 6: Live Project on Python
    • Assessment
    • Live Project
  1. Module 7: Certification & Closure
    • Certification of Completion
    • Internship Certificate
    • Review and Feedback

8 Weeks Course

  1. Module 1: Introduction to Machine Learning
    • What is Machine Learning
    • Basics of Machine Learning
    • Features of Machine Learning
    • Relation to Data Mining, Optimization & Statistics
  1. Module 2: Types of Learning algorithms:
    • Supervised and Semi Supervised learning
    • Unsupervised learning
    • Reinforcement learning
  1. Module 3: Machine Learning Techniques:
    • Feature Learning & Sparse dictionary learning
    • Anomaly detection
    • Decision tree
    • Association Rules
  1. Module 4: Advanced Machine Learning Features:
    • Regression
    • Classification
    • Data Clustering -Targeting Unsupervised learning
  1. Module 5: Data science with Python
    • Basics of Python
    • How Python can be utilized for Data Science
  1. Module 6: Python Environment Setup and Essentials
    • How to set up Python Environment
    • Python (NumPy) – Mathematical Computing
    • Python (SciPy) – Scientific Computing
  1. Module 7: Advanced Python
    • Data Manipulation with Pandas
    • Natural Language Processing with Scikit Learn
    • Data visualization in Python using matpolib
    • Web scraping
    • Handshaking with Hadoop MapReduce and Spark
  1. Module 8: Programming with Python 3.x
    • Basics of Python Programming
    • Key methods and its usage
    • Programming Assignments
  1. Module 9: Live Project on Python
    • Assessment
    • Live Project
  1. Module 10: Certification & Closure
    • Certification of Completion
    • Internship Certificate
    • Review and Feedback

Sample Certification

  • Certificate of Completion
  • Internship Certificate

Your Future Starts Here.