Machine Learning with Python

Course Duration: 120h
Course level:All Levels

About Course

Machine learning helps computers act without explicitly programmed. Machine learning has helped us develop self-driving cars, speech recognition algorithms, and other useful applications that we use them dozens of times a day without knowing them. In this course, you will learn the most effective machine learning techniques. You will get opportunity to implement them through hands-on projects and get them to work for yourself. In this course, you will not only learn the theoretical underpinnings of learning but also learn to apply the techniques to solve new problems. Today, machine learning is one of the most in-demand skills for job. The hiring in the machine learning field has grown 74% annually for the last four years. This course will help all those who are interested in developing skills and experience to pursue a career in Machine Learning and leverage the main types of Machine Learning: Unsupervised Learning and Supervised Learning.
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Course Curriculum

What I will learn?

  • Course in the Hindi Language
  • 100% online course
  • Hands-on Projects
  • Earn a sharable certificate upon completion
  • Affordable Program
  • Complete the course according to your schedule
  • Get tangible career benefits after completion of the course
  • Approximately 55 hours of course content
  • No hard prerequisites

Course Curriculum

Machine Learning

  • Learning Systems
  • Input – Output Variables
  • Independent vs Dependent Variable

Machine Learning Project Lifecycle

Project 1 – Finance – Fraudulent Transaction

Function Approximation

Prediction Accuracy and Interpretability of Model

Model Accuracy

Bias Variance Tradeoff

Approaches For Prediction

Project 2 – Healthcare – Predict Diabetes

Linear Regression

Project 3 – Manufacturing

Project 4 – Marketing


Logistic Regression

Linear Discriminant Analysis

Project – 5 – Finance


Material Includes

  • 120 hours of digital content
  • On-demand videos
  • Graded quizzes and assignments
  • 9 Hands-on Projects
  • Unlimited access for 1 year
  • Certification on completion


  • Understand Machine Learning Concepts
  • Concepts of Supervised and unsupervised learning
  • Predictive Analytics
  • Preferable to have a background in Python and Statistics

Target Audience

  • School Students
  • Engineering Students
  • Management Students
  • Working Professionals
  • Faculty members and teachers