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Machine Learning Tutorial: A Step by Step Guide for Beginners

Tutorial Highlights

 Machine learning: the branch of AI, based on the concept that machines and systems can analyze and understand data, and learn from it and make decisions with minimal to zero human intervention.

Most industries and businesses working with massive amounts of data have recognized the value of machine learning technology. By culling insights from this data, businesses are able to work more efficiently and gain an advantage over others.

Our Machine Learning tutorial will help you understand what exactly machine learning is, how it works, and its applications in our day-to-day lives. The machine learning tutorial covers several topics from linear regression to decision tree and random forest to Naive Bayes.

 So watch the machine learning tutorial to learn all the skills that you need to become a Machine Learning Engineer and unlock the power of this emerging field.

ALSO READ:  Discover the Differences and Synergies Between Data Science and Data Engineering

Skills Covered

  • Supervised and Unsupervised Learning
  • Linear Regression in Python
  • Random Forest in python
  • Naives Bayes in Python
  • K-means in Python
  • Logistic regression in python

by Rahul

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