Machine Learning

  • Introduction To Machine Learning
    Machine Learning is the ability of computers to automatically learn and improve from experience without given a set of rules.
  • Types of Machine Learning
    There are different algorithms in Machine used for different types of datasets. Namely: supervised learning, unsupervised learning and reinforced learning.
  • Data Preprocessing for Machine Learning Part I
    Data pre-processing is the process to clean and manage the data so that our machine learning model don’t get disturbed while understanding the model.
  • Data Preprocessing for Machine Learning Part II
    Welcome to the second section of data preprocessing for machine learning. Do check out the first part for better understanding. We will be learning about the following sections in this blog.
  • Data Visualization for Machine Learning with Matplotlib
    Data Visualization is the presentation of the data in the graphical or pictorial form so that human brain can easily process the information present in the data.
  • Data Visualization for Machine Learning with Seaborn
    Seaborn is a library for making statistical graphics in Python. It builds on top of matplotlib helps you explore and understand your data.
  • Simple Linear Regression
    Regression is a statistical method used in finance, investing and other disciplines that attempts to determine the strength and character of the relationship between one dependence variable (let us say Y) and a series of other variables known as independent variables and Simple linear regression is the one which have one dependent variable and one …

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