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Category: Software Testing



A Python Machine learning is an in-demand skill to add to your resume. We walk through steps for wading into machine learning with the help of Python. Gain a deep understanding of some of the most commonly used ML algorithms and their implementation in our machine learning with python training. Master the skills you need to create smart applications for your organisation with hands-on training in Python for ML projects.

With EDULYT’s machine learning python course, you gain an in-depth understanding of the three major types of machine learning algorithms, including supervised, unsupervised, and reinforcement learning.

Learn the various methods for implementing these algorithms with associated business use cases. You will also learn advanced topics of ML such as Natural Language Processing (NLP) and Deep Learning in our machine learning with python training.

What are the objectives of ML with Python training ?

At the end of this Machine Learning with Python Certification course, you will be able to:

  • Appreciate the breadth & depth of ML applications and use cases in real-world scenarios.
  • Import and preprocess data using Python libraries and divide them to training and test datasets
  • Implement various type of regression methods including SVR, decision tree and random forest
  • Deploy different types of classification algorithms
  • Use clustering algorithms with Python libraries
  • Deploy association rule learning, and reinforcement learning
  • Implement Natural language processing and other deep learning methods in your application