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All Machine Learning courses

Instructor
Level
Language
Rating
Category
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We found 9 courses available for you
Course Meta
1 Months
4.5

data science,machine learning

  • 8 Lessons
  • 25 Students
Beginner Level
Natural Language Processing (NLP) with Machine Learning
4.5
  • 8 Lessons
  • 1 Months
What You’ll Learn?
  • Learn how to preprocess and tokenize text data to prepare it for analysis and machine learning applications.
  • Explore sentiment analysis, the comprehension of emotions in text, and named entity recognition, the extraction of entities from text.
  • Explore text generation methods utilizing language models such as LSTM and Transformer to generate text content using artificial intelligence.
Course Meta
2 Months
4.5

machine learning

  • 6 Lessons
  • 25 Students
Advanced Level
Machine Learning for Business and Decision Making
4.5
  • 6 Lessons
  • 2 Months
What You’ll Learn?
  • Learn how machine learning supports business decisions through data analysis, outcome prediction, and enhanced strategic planning.
  • Learn how to segment customers, assess market trends, and derive actionable insights for targeted marketing strategies.
  • Mastering predictive models to forecast sales, demand, and customer behavior enables businesses to make proactive decisions.
Course Meta
2 Months
5

machine learning

  • 8 Lessons
  • 25 Students
Advanced Level
Advanced Machine Learning Algorithms
5
  • 8 Lessons
  • 2 Months
What You’ll Learn?
  • Enhance your comprehension of ensemble methods such as bagging, boosting, and stacking to enhance the efficacy of your models.
  • Apply advanced algorithms such as SVMs and decision trees to classification and regression problems.
  • Learn techniques for assessing the efficacy of models, optimizing hyperparameters, and refining algorithms.
Course Meta
2 Months
3.5

machine learning

  • 8 Lessons
  • 25 Students
Advanced Level
Machine Learning Pipelines and Workflow
3.5
  • 8 Lessons
  • 2 Months
What You’ll Learn?
  • Recognize the significance of data preprocessing and feature engineering in the development of efficient machine learning pipelines.
  • Learn how to deploy models to production, track their performance, and guarantee continuous improvement.
  • Master the entire machine learning project lifecycle, beginning with data collection and preprocessing and ending with model deployment.
Course Meta
2 Months
4.5

machine learning

  • 6 Lessons
  • 25 Students
Advanced Level
Bayesian Machine Learning
4.5
  • 6 Lessons
  • 2 Months
What You’ll Learn?
  • Learn the fundamentals of Bayesian probability theory and how to draw conclusions using Bayes' theorem.
  • Apply Bayesian methods to regression and classification problems to improve your modeling skills.
  • Investigate Bayesian networks and graphical models for representing intricate data relationships.