原文地址:learning-path-data-science-python。 从Python菜鸟到Python Kaggler的旅程(译注:Kaggle是一个数据建模和数据分析竞赛平台) 假如你想成为一个数据科学家,或者已经是数据科学家的你想扩展你的技能,那么你已经来对地方了。本文的目的就是给数据分析方面的Python新手提供一个完整的学习路径。
Python is one of the most popular programming languages used across various tech disciplines, especially in data science and machine learning. Python offers an easy-to-code, object-oriented, high-level language with a broad collection of libraries for a multitude of use cases. It has over 137,...
Getting Started With Python For Data Science kaggle.com/wiki/Getting Getting Started With Python II Getting Started with Pandas: Kaggle's Titanic Competition kaggle.com/c/titanic-ge 另外补充一个用scikitlearn构建文本挖掘系统的教程,个人觉得写的很好,基本上做一遍大概的流程就很清晰了:scikit-learn文本挖掘...
数据脚本地址:https://www.dataquest.io/blog/large_files/gen_data.py。数据如下: import numpy as np import pandas as pd import matplotlib.pyplot as plt %matplotlib inline ### Import data # Always good to set a seed for reproducibility SEED = 222 np.random.seed(SEED) df = pd.read_csv('...
这里(https://machinelearningmastery.com/best-machine-learning-resources-for-getting-started/)不仅给大家列出了一些很不错的机器学习的免费资源,还提供了很多其他指导和教程。由于兴趣爱好的不同,你会发现网上有很多可用的开源数据集。但是在刚开始学的时候,Kaggle (https://www.kaggle.com)维护的数据集,和那些政...
泰坦尼克之灾案例是Kaggle入门的案例,本篇分析是参照https:///Speedml/notebooks/blob/master/titanic/titanic-data-science-solutions-refactor.ipynb来写的,分析思路和代码很详细,本篇文章的代码地址https:///LuLane/titanic; 一:确定任务和目标 首先先确定该案例是一个二类分类监督学习问题,根据乘客的特征来预测其是...
Python’s simplicity, readability, and massive ecosystem of libraries make it a prime choice for tackling everything from exploratory data analysis to machine learning. Below is a quick roadmap to help you begin your Python-for-Data-Science journey and keep things fun along the way! 1. ...
imbalanced-learn - Resampling for imbalanced datasets. tspreprocess - Time series preprocessing: Denoising, Compression, Resampling. Kaggler - Utility functions (OneHotEncoder(min_obs=100)) skrub - Bridge the gap between tabular data sources and machine-learning models. Noisy Labels cleanlab - Machine...
Data Science School: http://datascience-school.com/ 11. XGBoost / LightGBM / CatBoost 官网: http://xgboost.readthedocs.io/en/latest/ http://lightgbm.readthedocs.io/en/latest/Python-Intro.html https://github.com/catboost/catboost 梯度增强算法是最流行的机器学习算法之一,它是建立一个不断改进的基...
对我来说,这个教程最大的好处,是知道了Kaggle,可以瞻仰一下真正大牛们是怎样用Data Science来解决问题的 3. 不从0开始学Python语言 剩下的,就没有什么教程了。也就是开头说了,目前还比较缺乏系统性的教程。只是,再次强调一点,不学什么 —— 不从0开始学Python语言。 为什么?简单的If, For loop这些,其实大家...