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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-in-python-for-absolute-beginners/
课程评论：没有评论
课程名称：绝对初学者的Python机器学习 课程概述：您想了解机器学习算法如何在Python中实现吗？在本课程中，您将学习机器学习及如何利用Python构建可靠且高效的机器学习模型，以解决实际问题。我们将介绍如何准备数据集以训练机器学习模型，以及如何在您的桌面和笔记本电脑上设置Python环境。您还将学习如何利用这些库来评估和微调机器学习模型。这个初学者课程旨在帮助任何希望快速开始进行机器学习解决方案的人，课程将通过实际问题讲解相关概念。 主要内容包括： - Python中的机器学习介绍 - 数据准备 - 分类模型的评估和调整 - 监督学习：回归和分类 在本课程中，我们将带您学习监督学习和无监督学习的主题，并将介绍不同的算法，如回归、朴素贝叶斯、决策树、逻辑回归、随机森林、KNN和支持向量机（SVM）。您将学习如何成功构建机器学习模型的步骤，包括： - 安装Python及相关库 - 加载数据集 - 概括数据集 - 可视化数据集 - 评估一些算法 - 做出一些预测 立即注册，学习Python和机器学习的最热门技能。期待在课堂上见到您！
Do You Want To Know How Machine Learning Algorithms Are Being Implemented In Python?In this course, you'll learn about machine learning and how to utilize python for building reliable and efficient machine learning models to find solutions for real-life problems. We will be covering aspects like preparing data sets to train the machine learning models and setting up a python environment on your desktops and laptops. Also, you'll learn how to utilize these libraries to evaluate and fine-tune your machine learning models.This beginner program will help anyone who wants to quickly start working on machine learning solutions. This program will teach the concepts using real-world problems. Let's Have A Look At The Major Topics We'll Be Covering In This Course!Introduction to Machine Learning with PythonData PreparationEvaluation and tuning of Classification ModelsSupervised Learning - Regression and Classification In this course, we'll take you through the topics of supervised learning and unsupervised learning. Also, you'll learn about the different algorithms like regression, naive Bayes, decision trees, logistic regression, random forest, KNN, and Support Vector Machines (SVM).You'll be learning how to implement the following steps to successfully build machine learning models using PythonInstalling the Python and librariesLoading the datasetSummarizing the datasetVisualizing the datasetEvaluating some algorithmsMaking some predictionsEnroll today and learn the most in-demand skills of Python and machine learningSee You In The Class!
