Machine Learning has massive and noticeable changes in our day-to-day activities. From Amazon’s Echo or Alexa to refining Google search, technology has improvised experience for everything. Machine learning and AI are two core elements of revolutionization journey of the tech world. This advanced and incredible technology is also affecting the working of several industries. AI is more a fictional dream, it’s a reality!
The course "Machine Learning Basics: Building Regression Model in Python" teaches you all the steps of creating a Linear Regression model, which is the most popular Machine Learning model, to solve business problems.In this course students will learn the following:How to predict future outcomes basis past data by implementing Simplest Machine Learning algorithmHow to do preliminary analysis of data using Univariate and Bivariate analysis before running Linear regressionUnderstand how to interpret the result of Linear Regression model and translate them into actionable insightUnderstanding of basics of statistics and concepts of Machine LearningLearn advanced variations of OLS method of Linear RegressionLinear Regression technique of Machine Learning using Scikit Learn and Statsmodel libraries of PythonThis course is suitable for anyone curious about machine learning or professionals beginning their data journey.Basic knowledgeStudents will need to install Python and Anaconda software but we have a separate lecture to help you install the sameWhat will you learnIn this course students will learn the following:How to predict future outcomes basis past data by implementing Simplest Machine Learning algorithmHow to do preliminary analysis of data using Univariate and Bivariate analysis before running Linear regressionUnderstand how to interpret the result of Linear Regression model and translate them into actionable insightUnderstanding of basics of statistics and concepts of Machine LearningLearn advanced variations of OLS method of Linear RegressionLinear Regression technique of Machine Learning using Scikit Learn and Statsmodel libraries of Python
Machine Learning is a method of data analysis and it automates analytical model buildings.
It identifies the pattern, a branch of AI based on the idea that systems can learn data and making decisions with minimal human intervention.
Python is the preferred programming language to build solutions using Machine Learning as it combines remarkable power with very clear syntax.
It also used as an extension language for applications written in other languages that need easy-to-use scripting or automation interfaces.Android By Kethan provides Machine Learning with Python online training with most experienced trainers.
They will teach and guide from the beginning stage to the advanced stage, with more practical examples.
The trainer will be available for doubts clarification throughout the course duration.
What is Machine Learning?Machine Learning is a branch of Artificial Intelligence(AI), in which we make our machines learn as humans learn from past data, gradually surpassing humans in predictions.
Machine Learning has gradually seen a massive increase and its applications are seen in the day-to-day things we use like Netflix.
The term ‘Machine Learning’ originally was invented based on a model of ‘Brain Cell Infection’.
The model was created in 1949 by Donald Hebb in a book titled ‘The Organisation of Behaviour’, which presents Hebb’s theories on neuron excitement and communication between neurons.
Later, an American Pioneer Arthur Samuel coined the term ‘Machine Learning in 1959.
Arthur Samuel defined Machine Learning as “ a field of study that gives computers the ability to learn without being explicitly programmed”.