Build Your First ML Model Using Python

Wishlist Share
Share Course
Page Link
Share On Social Media

About Course

Data Science is one of the fastest growing fields in technology. Get the dream job of Data scientist by mastering the skills you need to analyze data with SQL and Python.

Objective of the program

  • Build your first Machine Learning model using Python
  • Learn Python from beginner to expert level

Topics Covered

  • Introduction to Machine Learning
  • Operators
  • Variables & Datatypes
  • Conditional Statements & Loop
  • Data Structures
  • Functions
  • Standard Libraries
  • Numpy
  • Data Visualization using Matplotlib
  • Pandas
  • Build your first ML model

Why choose this program?

  • Certification Program
  • Self paced, with tons of additional learning materials to refer
  • No prior programming knowledge needed
  • A dedicated mail id for query support and guidance, unlike other online courses
  • 11 modules – Step by step approach to guide you from basics
  • 2 Assignments for practice
  • Quiz for every module to test your understanding

Key Takeaways

  • Learn Python from the basics
  • Understand how AI is implemented
  • Get market ready by creating your first AI Prediction Machine
Show More

What Will You Learn?

  • Foundations of Machine Learning: Gain a clear understanding of what machine learning is, its applications, and its significance in the field of artificial intelligence.
  • Python Programming: Start from the basics and progress to advanced concepts in Python programming, including operators, variables, and data types.
  • Control Flow and Data Structures: Learn how to use conditional statements, loops, and data structures to control the flow of your programs and manage data effectively.
  • Functions and Libraries: Discover how to define and use functions in Python, along with an introduction to essential libraries that simplify complex tasks in data analysis and machine learning.
  • Data Handling with Numpy and Pandas: Master data manipulation and analysis using Numpy for numerical data and Pandas for structured data, enabling efficient data handling.
  • Data Visualization with Matplotlib: Learn to create insightful visualizations that help communicate your data analysis effectively, making complex information more understandable.
  • Building Your First Machine Learning Model: Apply your knowledge to build your very first machine learning model, learning the steps from data preparation to model training and evaluation.
  • Practical Skills for the Job Market: Equip yourself with the skills necessary to create an AI prediction machine, preparing you for real-world applications and making you market-ready.

Course Content

Introduction to ML and Python

  • Introduction to ML and Python
    05:22
  • Introduction to ML
    07:10
  • Machine Learning Approaches
    07:44
  • Machine Learning Implementation & Fundamental Theories
    06:37
  • Languages to implement ML
    10:17
  • Why Python for ML?
    10:19
  • Let us install Python
    04:33
  • Reference: Machine Learning
  • Module Quiz: Machine Learning

Exploring Operators

Data types and Variables

Conditional Statements and Loops

Data Structures

Understanding Functions

Python Libraries

Data Visualization using MatPlotLib Library
Data Visualization using MatPlotLib Library

Data Manipulation using Pandas
Data Manipulation using Pandas

Build your first ML Model
Build your first ML Model

Certification Exam
30 questions in 45 minutes. Two attempts allowed per user to get 80% in this certification exam.

Earn a certificate

Add this certificate to your resume to demonstrate your skills & increase your chances of getting noticed.

selected template

Student Ratings & Reviews

No Review Yet
No Review Yet

Want to receive push notifications for all major on-site activities?