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https://github.com/har8899/python-for-machine-learning


https://github.com/har8899/python-for-machine-learning

arrays matrices oreilly pycharm python pythonforeverybody pythonformachinelearning vectors

Last synced: 4 days ago
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README

        

# Machine-Learning-basics
## Vectors, Matrices and Arrays
Problems


  • 1.1 Creating a Vector link

  • 1.2 Create a Matrix link

  • 1.3 Selecting Elements link

  • 1.4 Describe a Matrix link

  • 1.5 Applying operations to elements link

  • 1.6 Finding minimun and maximum values link

  • 1.7 Calculating Average, Variance and Standard Deviation link

  • 1.8 Reshaping Arrarys link

  • 1.9 Transposing the Matrix link

  • 1.10 Flattening a Matrix link

  • 1.11 Rank of the Matrix link

  • 1.12 determinat of a matrix link

  • 1.13 Getting the Diagonal of a Matrix link

  • 1.14 Calculating the Trace of a Matrix link

  • 1.15 Finding Eigenvalues and Eigenvectors link

  • 1.16 Calculating Dot Products link

  • 1.17 Adding and Subtracting Matrices link

  • 1.18 Multiplying Matrices link

  • 1.19 Inverting a Matrix link

  • 1.20 Generating Random Values link

## Loading Data

Problems


  • 2.1 Loading a Sample Dataset Link

  • 2.2 Creating a Simulated Dataset

  • 2.3 Loading a CSV File

  • 2.4 Loading an Excel File

  • 2.5 Loading a JSON File

  • 2.6 Querying a SQL Database