Level 2 - Machine Learning With Python - Innozant MIS & Data Analytics & Data Science

Administrator Intermediate


Intro to Data Science & Machine Learning.

This course will introduce you to the world of data science and cover all the major aspects of deriving insights from data sets. In this course, we will show you how to acquire data, clean it for easier analysis, explore and derive insights, convert it into specific features, and model it using machine learning algorithms.

Machine Learning is a step into the direction of artificial intelligence (AI). Machine Learning is a program that analyses data and learns to predict the outcome. This course will be covered in Python as it is one of the primary tools used by data scientists today.

What You will Learn:

  • Python Basics for Data Science
  • Analyzing Data with Python
  • Visualizing Data with Python
  • Machine Learning with Python
  • Demonstrate your skills for working with Python and Data
  • Various types of Machine Learning algorithms
  • Build and validate a predictive machine learning model using Python
  • Create and share actionable insights to real life data problems

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Topics for this course

106 Lessons

Overview of Data Science

Machine Learning Overview

Module 1: Python Basics

Module 2. Introduction to Machine Learning

Module 3: Scikit Learn

Module 4: Machine Learning – Optimization Techniques


Machine Learning Algorithm- Supervised Learning

Machine Learning – Unsupervised Learning

Ensemble Techniques

Neural Networks – Basics and Example


  • Course level: Intermediate