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Machine Learning (Python)

  • Course level: Intermediate

Description

No Description

What Will I Learn?

  • Supervised and Unsupervised Learning
  • Numpy
  • Python programming

Topics for this course

40h

Numpy, Pandas, Matplotlib and seaborn package in python

sklearn module in python

Understanding of supervised learning and unsupervised learning

Supervised Learning algorithms: Support vector machine (SVM), Decision Tree (DT), Naive Bayes (NB)

U n s u p e r v i s e d L e a r n i n g A l g o r i t h m : K-Means

projects like : Recommendation systems, Image segmentation, Face recognition, Facial Emotion Recognition, Weather Forecasting, IPL team winning prediction, Sentiment Analysis (10 projects like wise)

About the instructors

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5 Courses

4 students

5,000.00 2,500.00