Data Science 2021 : Complete Data Science & Machine Learning

Categories: Development Courses
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About Course

Linear algebra concepts are key for understanding and creating machine learning algorithms, especially as applied to deep learning and neural networks. This course reviews linear algebra with applications to probability and statistics and optimization–and above all a full explanation of deep learning.

What Will You Learn?

  • Learn Complete Data Science skillset required to be a Data Scientist with all the advance concepts
  • Master Python Programming from Basics to advance as required for Data Science and Machine Learning
  • Learn complete Mathematics of Linear Algebra, Calculus, Vectors, Matrices for Data Science and Machine Learning.
  • Become an expert in Statistics including Descriptive and Inferential Statistics.
  • Learn how to analyse the data using data visualization with all the necessary charts and plots
  • Perform data Processing using Pandas and ScikitLearn
  • Master Regression with all its parameters and assumptions
  • Solve a Kaggle project and see how to achieve top 1 percentile
  • Learn various classification algorithms such as Logistic Regression, Decision Tree, Random Forest, Support Vector Machines
  • Get complete understanding of deep learning using Keras and Tensorflow
  • Become the Pro by learning Feature Selection and Dimensionality Reduction

Course Content

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