2024数据科学方法与算法实战指南

掌握数据科学核心方法、算法及实战技巧，涵盖回归、分类、聚类等，结合Python库与云端计算，适合提升数据分析能力。

原始标题：Data Science Methods and Algorithms [2024]

Published 6/2024
Created by Henrik Johansson
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 82 Lectures ( 38h 4m ) | Size: 14.8 GB

What you’ll learn:
Knowledge about Data Science methods, algorithms, theory, best practices, and tasks
Deep hands-on knowledge of Data Science and know how to handle common Data Science tasks with confidence
Detailed and deep Master knowledge of Regression, Prediction, Classification, Supervised Learning, Cluster Analysis, and Unsupervised Learning
Hands-on knowledge of Scikit-learn, Statsmodels, Matplotlib, Seaborn, and some other Python libraries
Advanced knowledge of A.I. prediction models and automatic model creation
Cloud computing: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud computing resources
Option: To use the Anaconda Distribution (for Windows, Mac, Linux)
Master the Python 3 programming language for Data Handling
Master Pandas 2 and 3 for Advanced Data Handling

Requirements:
The four ways of counting (+-*/)
Everyday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommended
Access to a computer with an internet connection
Programming experience is not needed and you will be taught everything you need
The course only uses costless software
Walk-you-through installation and setup videos for Cloud computing and Windows 10/11 is included