Machine Learning

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Learn which Machine Learning model to choose for each type of problem and how to improve your Machine Learning Models. Become a Machine Learning Engineer and get hired.

3.88 (16 Reviews)
Language: English

Course Overview

Complete end to end hands-on machine learning tutorial with NumPy, Pandas, Seaborn , Matplotlib , Scikit-Learn , Flask , MongoDB etc from Machine Learning Expert. Learn best practices when it comes to Data Science Workflow by doing assignments, quizes and 5+ real time industry projects.

What you'll learn
  • Master Machine Learning on Python
  • Make robust Machine Learning models
  • Use Machine Learning for personal purpose
  • Handle advanced techniques like Dimensionality Reduction
  • Classify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, and PCA
  • Design and evaluate A/B tests using T-Tests and P-Values
  • Data Visualization with MatPlotLib and Seaborn
  • Clean your input data to remove outliers
Requirements
  • Computer with Internet connectivity
  • Basic Programming understanding

Course Curriculum

3.88 out of 5.0
1 Star 25.0%
2 Star 0.0%
3 Star 0.0%
4 Star 12.5%
5 Star 62.5%
Krish Naik

Having 10+ years of experience in Data Science and Analytics with product architecture design and delivery. Worked in various product and service based Company. Having an experience of 5+ years in educating people and helping them to make a career transition.

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