Announcing Machine Learning Certification Course for Beginners!

avcontentteam 25 Aug, 2021 • 3 min read

Time to Start your Machine Learning Journey for FREE!

From face unlock to giving biometric attendance, machine learning seeped into human lives at almost every stage. Machine learning is so extensive that you probably use it numerous times a day involuntarily and unknowingly

Currently, Machine Learning is like that golden dream, which everyone wants but does not know how to get. And that is precisely where Analytics Vidhya comes in with its magic wand. Our courses have set the benchmark for quality content and we come with another course just for beginners and that too is free of cost.

So, if you are someone who asks themselves, “From where should I start my Machine Learning journey?”, the answer is Machine Learning Certification Course for Beginners!

free machine learning certified course for beginners  


What is the Machine Learning Certification Course for Beginners

The Machine Learning Certification Course for Beginners is a FREE step-by-step online starter program to learn the basics of Machine Learning, hear from industry experts and data science professionals, and apply your learning in machine learning hackathons!

We will be covering Python for Data Science, the importance of statistics and EDA, the underlying intuition behind several machine learning algorithms, and then solve case studies/projects using Machine Learning concepts in Python.

So, if you invest 8 – 10 hours a week for this course, you can complete the entire course within 6 – 8 weeks.

The aim of the Machine Learning Certification Course for Beginners is:

  • Help you understand how this field is transforming and disrupting industries
  • Acquaint you with the core machine learning algorithms
  • Enhance and complement your learning through competition and hackathon exposure

This is the perfect starting point to ignite your fledging machine learning career and take a HUGE step towards your dream data scientist role. We believe in a holistic learning approach and that’s how we’ve curated the Machine Learning Certification Course for Beginners!  


What will I learn from this course?

  • Python libraries like Numpy, Pandas, etc. to analyze your data efficiently.
  • Importance of Statistics and Exploratory Data Analysis (EDA) in the data science field.
  • Linear Regression, Logistic Regression, and Decision Trees for building machine learning models.
  • Understand how to solve Classification and Regression problems using machine learning
  • How to evaluate your machine learning models using the right evaluation metrics?
  • Improve and enhance your machine learning model’s accuracy through feature engineering

Jackpot: Upon successful completion of the course, you will be provided a blockchain-enabled certificate by Analytics Vidhya with lifetime validity.


Tools Covered in this Course:

  • Python
  • Pandas
  • Numpy
  • Matplotlib
  • Scikit learn
  • Seaborn

Projects covered in this course

  1. Customer Churn Prediction

    This project requires you to predict the propensity to churn for each customer.
    Projects covered in this course


  2. NYC Taxi Trip Duration Prediction

    This project will cover techniques to extract important features and accurately predict trip duration for taxi trips in New York using data from the TLC commission New York.


Who is the Machine Learning Certification Course for?

The Machine Learning Certification Course is for anyone who:

  • Is a beginner in machine learning
  • Wants to kick start their machine learning journey
  • Wants to learn about core machine learning algorithms
  • Is interested in a practical learning environment
  • Wants to practice and enhance their existing machine learning knowledge

But wait, what are the perquisites?

This course requires no prior knowledge about Data Science or any tool.


So, what are you waiting for? Enroll in the Machine Learning Certification Course for Beginners! for FREE and begin your learning journey today!


avcontentteam 25 Aug 2021

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