|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/master-machine-learning-basics-jobs-and-interview-bootcamp/
课程评论：没有评论
《Master Machine Learning: Basics, Jobs and Interview Bootcamp》课程概述： 本课程由资深数据科学家 Manik Soni 设计，旨在以简化的方式分享机器学习的复杂理论、算法和编程库。课程包含大量基于实际案例的实践练习，让学习者在掌握理论的同时，也能动手构建自己的机器学习模型。 **课程目标：** * 精通 Python 机器学习 * 深入理解多种机器学习模型 * 进行准确的预测和强大的数据分析 * 构建稳健的机器学习模型 * 为您的业务创造价值 * 将机器学习应用于个人项目 * 掌握降维等高级技术 * 学会为不同问题选择合适的模型 * 构建强大的机器学习模型组合，并知晓如何结合使用以解决任何问题 * 准备机器学习相关的求职面试 **目标受众：** * 所有对机器学习感兴趣的人 * 具备高中数学水平，希望入门机器学习的学生 * 了解线性回归、逻辑回归等经典算法，但希望深入学习机器学习各领域的进阶学习者 * 对编程不太熟悉，但对机器学习感兴趣并希望轻松应用于数据集的人 * 希望开启数据科学职业生涯的大学在读学生 * 希望提升机器学习技能的数据分析师 * 希望通过机器学习获得职业转型的求职者 * 希望利用机器学习工具为业务创造价值的个人
This course is designed by Manik Soni, professional Data Scientists so that I can share my knowledge and help you learn complex theory, algorithms, and coding libraries in a simple way.Moreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own machine learning models.Master Machine Learning on PythonHave a great intuition of many Machine Learning modelsMake accurate predictionsMake a powerful analysisMake robust Machine Learning modelsCreate strong added value to your businessUse Machine Learning for personal purposeHandle advanced techniques like Dimensionality ReductionKnow which Machine Learning model to choose for each type of problemBuild an army of powerful Machine Learning models and know-how to combine them to solve any problemQuestions for Job InterviewWho this course is for:Anyone interested in Machine Learning.Students who have at least high school knowledge in math and who want to start learning Machine Learning.Any intermediate-level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.Any students in college who want to start a career in Data Science.Any data analysts who want to level up in Machine Learning.Any people who are not satisfied with their job and who want to become a Data Scientist.Any people who want to create added value to their business by using powerful Machine Learning tools.
