NumPy For Data Science & Machine Learning

Introduction - Installation and Setup 3 lectures 27:26 What Is NumPy Able to know what is NumPy and why it is necessary. How To Install And Setup NumPy & Pandas Able to install and setup Anaconda software and be ready to work with Jupyter notebook. How To Work With The Jupyter Notebook Able to work with the Jupyter notebook, which is most commonly used by the Data Analyst and Data Scientists. Introduction - Installation and Setup 3 lectures 27:26 What Is NumPy Able to know what is NumPy and why it is necessary. How To Install And Setup NumPy & Pandas Able to install and setup Anaconda software and be ready to work with Jupyter notebook. How To Work With The Jupyter Notebook Able to work with the Jupyter notebook, which is most commonly used by the Data Analyst and Data Scientists. What Is NumPy Able to know what is NumPy and why it is necessary. What Is NumPy Able to know what is NumPy and why it is necessary. What Is NumPy Able to know what is NumPy and why it is necessary. What Is NumPy Able to know what is NumPy and why it is necessary. Able to know what is NumPy and why it is necessary. Able to know what is NumPy and why it is necessary. How To Install And Setup NumPy & Pandas Able to install and setup Anaconda software and be ready to work with Jupyter notebook. How To Install And Setup NumPy & Pandas Able to install and setup Anaconda software and be ready to work with Jupyter notebook. How To Install And Setup NumPy & Pandas Able to install and setup Anaconda software and be ready to work with Jupyter notebook. How To Install And Setup NumPy & Pandas Able to install and setup Anaconda software and be ready to work with Jupyter notebook. Able to install and setup Anaconda software and be ready to work with Jupyter notebook. Able to install and setup Anaconda software and be ready to work with Jupyter notebook. How To Work With The Jupyter Notebook Able to work with the Jupyter notebook, which is most commonly used by the Data Analyst and Data Scientists. How To Work With The Jupyter Notebook Able to work with the Jupyter notebook, which is most commonly used by the Data Analyst and Data Scientists. How To Work With The Jupyter Notebook Able to work with the Jupyter notebook, which is most commonly used by the Data Analyst and Data Scientists. How To Work With The Jupyter Notebook Able to work with the Jupyter notebook, which is most commonly used by the Data Analyst and Data Scientists. Able to work with the Jupyter notebook, which is most commonly used by the Data Analyst and Data Scientists. Able to work with the Jupyter notebook, which is most commonly used by the Data Analyst and Data Scientists. NumPy Basics 4 lectures 31:54 Numpy Initialization Able to initialize NumPy and start creating an arrays and get help using Python help. Know how to use TAB completion to get help for all the methods and functions used in NumPy and Pandas. Creating An Ndarrays Able to create an Nd arrays. Data Types Able to know the types of data available i.e. data about the data or metadata about the data. Pseudorandom Number Generation Able to generate pseudorandom numbers from the NumPy random function and how to set seed function to generate the same random numbers locally for several times. NumPy Basics 4 lectures 31:54 Numpy Initialization Able to initialize NumPy and start creating an arrays and get help using Python help. Know how to use TAB completion to get help for all the methods and functions used in NumPy and Pandas. Creating An Ndarrays Able to create an Nd arrays. Data Types Able to know the types of data available i.e. data about the data or metadata about the data. Pseudorandom Number Generation Able to generate pseudorandom numbers from the NumPy random function and how to set seed function to generate the same random numbers locally for several times. Numpy Initialization Able to initialize NumPy and start creating an arrays and get help using Python help. Know how to use TAB completion to get help for all the methods and functions used in NumPy and Pandas. Numpy Initialization Able to initialize NumPy and start creating an arrays and get help using Python help. Know how to use TAB completion to get help for all the methods and functions used in NumPy and Pandas. Numpy Initialization Able to initialize NumPy and start creating an arrays and get help using Python help. Know how to use TAB completion to get help for all the methods and functions used in NumPy and Pandas. Numpy Initialization Able to initialize NumPy and start creating an arrays and get help using Python help. Know how to use TAB completion to get help for all the methods and functions used in NumPy and Pandas. Able to initialize NumPy and start creating an arrays and get help using Python help. Know how to use TAB completion to get help for all the methods and functions used in NumPy and Pandas. Able to initialize NumPy and start creating an arrays and get help using Python help. Know how to use TAB completion to get help for all the methods and functions used in NumPy and Pandas. Creating An Ndarrays Able to create an Nd arrays. Creating An Ndarrays Able to create an Nd arrays. Creating An Ndarrays Able to create an Nd arrays. Creating An Ndarrays Able to create an Nd arrays. Able to create an Nd arrays. Able to create an Nd arrays. Data Types Able to know the types of data available i.e. data about the data or metadata about the data. Data Types Able to know the types of data available i.e. data about the data or metadata about the data. Data Types Able to know the types of data available i.e. data about the data or metadata about the data. Data Types Able to know the types of data available i.e. data about the data or metadata about the data. Able to know the types of data available i.e. data about the data or metadata about the data. Able to know the types of data available i.e. data about the data or metadata about the data. Pseudorandom Number Generation Able to generate pseudorandom numbers from the NumPy random function and how to set seed function to generate the same random numbers locally for several times. Pseudorandom Number Generation Able to generate pseudorandom numbers from the NumPy random function and how to set seed function to generate the same random numbers locally for several times. Pseudorandom Number Generation Able to generate pseudorandom numbers from the NumPy random function and how to set seed function to generate the same random numbers locally for several times. Pseudorandom Number Generation Able to generate pseudorandom numbers from the NumPy random function and how to set seed function to generate the same random numbers locally for several times. Able to generate pseudorandom numbers from the NumPy random function and how to set seed function to generate the same random numbers locally for several times. Able to generate pseudorandom numbers from the NumPy random function and how to set seed function to generate the same random numbers locally for several times. Indexing and Slicing 3 lectures 27:51 Indexing And Slicing Able to index and slice or access the data values using index and slice methods of NumPy or Pandas style. Boolean Indexing Able to use boolean indexing to select the data values using the logical conditions. Fancy Indexing Able to index multiple data values at the same time using fancy indexing. Indexing and Slicing 3 lectures 27:51 Indexing And Slicing Able to index and slice or access the data values using index and slice methods of NumPy or Pandas style. Boolean Indexing Able to use boolean indexing to select the data values using the logical conditions. Fancy Indexing Able to index multiple data values at the same time using fancy indexing. Indexing And Slicing Able to index and slice or access the data values using index and slice methods of NumPy or Pandas style. Indexing And Slicing Able to index and slice or access the data values using index and slice methods of NumPy or Pandas style. Indexing And Slicing Able to index and slice or access the data values using index and slice methods of NumPy or Pandas style. Indexing And Slicing Able to index and slice or access the data values using index and slice methods of NumPy or Pandas style. Able to index and slice or access the data values using index and slice methods of NumPy or Pandas style. Able to index and slice or access the data values using index and slice methods of NumPy or Pandas style. Boolean Indexing Able to use boolean indexing to select the data values using the logical conditions. Boolean Indexing Able to use boolean indexing to select the data values using the logical conditions. Boolean Indexing Able to use boolean indexing to select the data values using the logical conditions. Boolean Indexing Able to use boolean indexing to select the data values using the logical conditions. Able to use boolean indexing to select the data values using the logical conditions. Able to use boolean indexing to select the data values using the logical conditions. Fancy Indexing Able to index multiple data values at the same time using fancy indexing. Fancy Indexing Able to index multiple data values at the same time using fancy indexing. Fancy Indexing Able to index multiple data values at the same time using fancy indexing. Fancy Indexing Able to index multiple data values at the same time using fancy indexing. Able to index multiple data values at the same time using fancy indexing. Able to index multiple data values at the same time using fancy indexing. File Handling in NumPy 1 lecture 03:33 How To Save And Load In Numpy Able to open, save, edit and resave or save as a fresh NumPy file using save and load options on NumPy. File Handling in NumPy 1 lecture 03:33 How To Save And Load In Numpy Able to open, save, edit and resave or save as a fresh NumPy file using save and load options on NumPy. How To Save And Load In Numpy Able to open, save, edit and resave or save as a fresh NumPy file using save and load options on NumPy. How To Save And Load In Numpy Able to open, save, edit and resave or save as a fresh NumPy file using save and load options on NumPy. How To Save And Load In Numpy Able to open, save, edit and resave or save as a fresh NumPy file using save and load options on NumPy. How To Save And Load In Numpy Able to open, save, edit and resave or save as a fresh NumPy file using save and load options on NumPy. Able to open, save, edit and resave or save as a fresh NumPy file using save and load options on NumPy. Able to open, save, edit and resave or save as a fresh NumPy file using save and load options on NumPy. Numerical Computation. 6 lectures 31:38 Mathematical & Statistical Methods How to perform mathematical and statistical computation using NumPy arithmetic & mathematical operations. Arithmetic Operations Able to perform arithmetic operations using NumPy arithmetic methods Universal Functions In Numpy Able to use universal functions like mean, sum etc. Conditional Logics In Numpy Able to use Conditional Logics In Numpy Unique and Set logic In NumPy Able to filter using Unique and set logics similar to like Python set logic