|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/practical-data-analysis-and-visualization-with-python/
课程评论：没有评论
**课程名称：** Python 实用数据分析与可视化 **课程概述：** 本课程旨在帮助您熟练掌握使用 Python 进行数据分析、可视化以及构建机器学习模型来解决各种问题的能力。课程强调直观理解，无需预备的数学或统计学知识，致力于让学习过程生动有趣。您将学习构建有效预测模型所需的所有工具和知识，特别强调数据归一化的重要性，并通过专门的章节讲解如何避免“垃圾进，垃圾出”的现象，确保数据输入的准确性。 **课程特色：** * **零基础友好：** 无需数学或统计学背景，模型原理以直观易懂的方式讲解。 * **实用导向：** 专注于实际应用，让学习者能动手解决问题。 * **数据质量强调：** 包含专门的数据预处理和归一化章节，以保障模型效果。 * **丰富数据集：** 涵盖多种实际数据集，如物价、电脑价格、失业率、历史限速、天气数据、客户满意度、房产价格、股票销量等，提供丰富的实践机会。 **所需 Python 包：** * Python 3.4 及以上版本 * NumPy * Pandas * Scipy * Scikit-learn * Matplotlib * Seaborn
The main objective of this course is to make you feel comfortable analyzing, visualizing data and building machine learning models in python to solve various problems. This course does not require you to know math or statistics in anyway, as you will learn the logic behind every single model on an intuition level. Yawning students is not even in the list of last objectives. Throughout the course you will gain all the necessary tools and knowledge to build proper forecast models. And proper models can be accomplished only if you normalize data. In view of that, there is a dedicated class that will guide you on how to avoid Garbage-In, Garbage-Out and feed the right data, which most courses skip for some reason. Sample Datasets Used in This Course Weed PriceChopstick size and pitching efficiencyComputer pricesBaby GrowthUnemployment Rate and Interest RatesUS Spending on Science and Suicide by HangingWorld ReligionsDivorce Statistics by GenderUS Music Sales By GenreBank StatementCustomer Satisfaction PollBoston House PricesHistorical Speed LimitsIris flower datasetHandwritten digits datasetNYSE Sales Volume for 2016 and 2017 Required Python Packages for This Course Python 3.4 and aboveNumPyPandasScipyScikit-learnMatplotlibSeaborn
