So, you want to become a data scientist or may be you are already one and want toexpand(扩张)your toolrepository(贮藏室). You have landed at the right place. The aim of this page is to provide a comprehensive learning path to people new to python for data analysis. This path provides...
喜欢读"Learning Python, 5th Edition"的人也喜欢 ··· High Performance MySQL 9.4 Think Python, 2nd Edition 8.8 Head First Servlets&JSP(第二版... 8.7 ggplot2 (2/e) 9.5 算法设计手册 9.2 Python for Data Analysis 8.9 Data Structures and Algorithms in ... 9.4 Spark 8.4 Unde...
Python for Data Science - Machine Learning Python for Machine Learning Python for Data Visualization Libraries Matplotlib Seaborn ggplot GraphX Plotly Functions Exploratory data analysis Data storytelling Decision-support dashboard design Public education(news, media, and data blogging) Python for Machine L...
Practical Machine Learning for Data Analysis Using Pythonis a problem solver’s guide for creating real-world intelligent systems. It provides a comprehensive approach with concepts, practices, hands-on examples, and sample code. The book teaches readers the vital skills required to understand and so...
(1) Data Science Languages: Python, R, SQL, JavaScript (D3.js) Mathematics: Advanced algebra, linear algebra, probability, Bayesian statistics, calculus (2) Machine Learning (ML) Techniques:Regression, classification, density estimation, dimension reduction, clustering ...
- 1 2 - 8 2 1 3 7 9 - 7 ebook isbn: 9780128213803 9 7 8 - 0 - 1 2 - 8 2 1 3 8 0 - 3 practical machine learning for data analysis using python is a problem solver’s guide for creating real-world intelligent systems. it provides a comprehensive approach with concepts, ...
Python for Data Analysis 8.9 Neural Networks and Deep Learni... 9.6 Deep Learning: Methods and Appli... An Introduction to Statistical Learni... 9.6 Machine Learning in Action 8.3 Applied Predictive Modeling 9.4 Bayesian Reasoning and Machine ... 9.5 Agile Data Science 8.3 Fou...
Learn to analyze data with Python. Here you will learn, Import data sets, Clean and prepare data for analysis, Manipulate pandas DataFrame, Summarize data, Build machine learning models using scikit-learn, Build data pipelines. Table of Content About Data Analysis ETL (Extract, Transform, and Lo...
Python (>= 3.10) NumPy (>= 1.22.0) SciPy (>= 1.8.0) joblib (>= 1.2.0) threadpoolctl (>= 3.1.0) Scikit-learn plotting capabilities (i.e., functions start withplot_and classes end withDisplay) require Matplotlib (>= 3.5.0). For running the examples Matplotlib >= 3.5.0 is requi...
[031]4.Py Linear Discriminant Analysis (LDA) I 2023.zh_en 09:58 [032]4.Py K-Nearest Neighbors (KNN) I 2023.zh_en 07:06 [033]5.1 Cross Validation.zh_en 14:02 [034]5.2 K-fold Cross Validation.zh_en 13:34 [035]5.3 Cross Validation the wrong and right way.zh_en ...