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所在平台: Udemy |
课程主页: https://www.udemy.com/course/up-an-running-with-m4e/
课程评论：没有评论
课程名称：机器学习基础：Python、Numpy 和 Scikit-Learn 课程概述：你是否渴望进入机器学习的世界，但又不知从何开始？这门课程提供了一条清晰、实用且结构化的学习路径，从基础概念到实际模型构建，适合没有任何机器学习经验的学习者。在课程中，你不仅会理解机器学习的原理，还会使用 Python、Numpy、Pandas、Matplotlib、Scikit-learn 和 Keras 等强大工具，从零开始逐步构建自己的模型。你将超越“即插即用”的库使用，深入了解底层逻辑，增强自信心，提升技能。 课程内容和工具包括： - 使用和学习的工具与框架：Python、Numpy、Pandas、Matplotlib、Seaborn、Scikit-learn、Keras - Google Colab（无需设置） - 分子分析的 RDKit - 高级应用的 DeepChem 和 MolGraph 课程特色：这不是一门被动的授课式课程，而是一个手把手、以问题为中心的学习旅程。在此过程中，你将： - 手动编写算法，然后使用库，从而加深理解逻辑 - 处理真实数据集，包括分子化学和图像识别 - 使用 Python 和 Google Colab 构建回归与分类模型 - 从零开始训练和评估神经网络，并使用 Keras - 应用高级主题，如正则化、批处理、避免过拟合和图卷积 通过这门课程，你不仅学习如何使用机器学习工具，还理解它们的工作原理，赋予你构建自己解决方案的能力，而不仅仅是复制教程。如果你认真想要以正确的方式学习机器学习，从直观到实现，这门课程将为你提供坚实的基础和可立即应用的实用技能。现在就加入学习吧，开始用 Python 构建真实的机器学习模型！
Are you eager to break into the world of machine learning but overwhelmed by where to begin? This course offers a clear, hands-on, and structured path into the field, guiding you from foundational concepts to practical model building-without requiring any prior experience in machine learning.In this course, you'll not only understand how machine learning works, but also build your own models from scratch, code by code, using powerful tools like Python, Numpy, Pandas, Matplotlib, Scikit-learn, and Keras. You'll go beyond the "plug-and-play" use of libraries to really grasp what's happening under the hood-giving you confidence, depth, and true skill.Tools & Frameworks You'll Learn and UsePython, Numpy, Pandas, Matplotlib, SeabornScikit-learn and KerasGoogle Colab (no setup required!)RDKit for molecular analysisDeepChem and MolGraph for advanced applicationsWhat Makes This Course Different?This is not a passive, lecture-only course. It's a hands-on, problem-focused journey where you'll:Write algorithms manually before using libraries-so you understand the logicWork with real datasets, including molecular chemistry and image recognitionBuild regression and classification models using Python and Google ColabTrain and evaluate neural networks from scratch and using KerasApply advanced topics like regularization, batching, overfitting prevention, and graph convolutionExplore tools used in cutting-edge applications like drug discovery (RDKit and DeepChem)You'll learn not just how to use machine learning tools, but also how and why they work-empowering you to build your own solutions, not just replicate tutorials.If you're serious about learning machine learning the right way-from intuition to implementation-this course will give you a solid foundation and practical skillset that you can apply immediately.Join now, and start building real machine learning models with Python today.
