Machine Learning Certification course for Beginners

  • BeginnerLevel

  • 3783+Students Enrolled

  • 6 Hrs Duration

  • 4.5Average Rating

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About this Course

  • Learn Python, machine learning basics, model building, and feature engineering to improve predictive performance.
  • Master Python libraries such as NumPy and Pandas for data analysis, data manipulation, and exploratory data analysis.
  • Work on projects like Customer Churn Prediction and NYC Taxi Trip Duration to gain hands-on experience

Learning Outcomes

Data Analysis Techniques

Use NumPy and Pandas to analyze and manipulate datasets effectively.

Statistics & EDA

Learn key statistical concepts and explore data visually.

Building ML Models

Implement Linear Regression, Logistic Regression, and Decision Trees.

Who Should Enroll

  • Professionals aiming to enhance data science skills and apply machine learning techniques effectively at work.
  • Students eager to learn machine learning fundamentals and gain hands-on experience with predictive modeling.
  • Anyone interested in understanding machine learning algorithms and their applications in real-world scenarios.

Course Curriculum

Explore a comprehensive curriculum covering Python, machine learning models, deep learning techniques, and AI applications.

tools

  1. 1. Understanding the Basics of Machine Learning

  2. 2. Overview of Supervised and Unsupervised Learning

  3. 3. Real-World Applications of Machine Learning

  1. 1. Getting Started with Python

  2. 2. Exploring Python Libraries for Data Science

  3. 3. Working with DataFrames in Pandas

  1. 1. Introduction to Python

  2. 2. Introduction to Jupyter Notebook

  1. 1. Getting Started with Python

  2. 2. Exploring Python Libraries for Data Science

  3. 3. Working with DataFrames in Pandas

  1. 1. Introduction to Variable

  1. 1. Introduction to Operators

  1. 1. Introduction to Conditional Statements

  1. 1. Introduction to Looping Constructs

  1. 1. Introduction to Data Structures

  2. 2. List and Tuple

  3. 3. Implementing List in Pyhton

  4. 4. List- Project in Python

  5. 5. Implementing Tuple in Python

  6. 6. Introduction to Sets

  7. 7. Implementing Sets in Python

  8. 8. Introduction to Dictionary

  9. 9. Implementing Dictionary in Python

  1. 1. Introduction to Functions

  2. 2. Recursion in Python

Meet the instructor

Our instructor and mentors carry years of experience in data industry

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Kunal Jain

Founder & CEO, Analytics Vidhya

Kunal has 15+ years of experience in the field of Data Science and is the founder and CEO of Analytics Vidhya- the world's 2nd largest Data Science community.

Get this Course Now

With this course you’ll get

  • 6 Hours

    Duration

  • Kunal Jain

    Instructor

  • Beginner

    Level

Certificate of completion

Earn a professional certificate upon course completion

  • Globally recognized certificate
  • Verifiable online credential
  • Enhances professional credibility
certificate

Frequently Asked Questions

Looking for answers to other questions?

This course is designed for individuals looking to learn Machine Learning. It covers Python for Data Science, statistics, EDA, ML algorithms, and case studies.​

You will receive information about all necessary installations as part of the cours​

This course is free of cost!

Yes, the course is self-paced, allowing learners to progress at their convenience. While the total duration may vary, the course is designed to be completed in approximately 2 hours.​

It is highly recommended to follow the course in its designed order for maximum learning.

Yes, you will receive a certificate of completion after successfully finishing the course and assessments.

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