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The Bike Sharing Company wants to understand the independent variables on their past data to analyze and create a machine learning model to understand the demand of the bike and accordingly plan a business strategy.
Leverage data analytics to identify "Hot Leads" and sculpt personalized strategies for maximum conversion potential, propelling X Education to new heights of success.
Machine Learning Practice and Exercises Welcome to our repository dedicated to the practice and mastery of machine learning (ML) concepts and techniques. This repository serves as a comprehensive resource for learners and enthusiasts looking to enhance their ML skills through hands-on exercises and practical applications.
Splitting the advertising data (advertising.csv) into training and testing data sets, then choosing and training a classification machine learning algorithm; Getting the accuracy of the ML model; Using feature engineering skills to create new features and improve my ML model;
This repository consists of implementation of some of the advanced algorithms in classification of dataset as well as training and testing of personalized dataset and decreasing the error.
Selenium is the first thing that comes to mind when one is planning to automate the testing of web applications. Selenium Webdriver with Java, one needs to bring the different components together, to start coding.