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