Step 1: Basic Python Skills

install Anaconda
including numpy, scikit-learn, and matplotlib

Step 2: Foundational Machine Learning Skills

Unofficial Andrew Ng course notes
Tom Mitchell Machine Learning Lectures

Step 3: Scientific Python Packages Overview

numpy - mainly useful for its N-dimensional array objects
pandas - Python data analysis library, including structures such as dataframes
matplotlib - 2D plotting library producing publication quality figures
scikit-learn - the machine learning algorithms used for data analysis and data mining tasks

Step 4: Getting Started with Machine Learning in Python

iPython Notebook Overview
An Introduction to scikit-learn
Example Machine Learning Notebook
Model Evaluation

Step 5: Machine Learning Topics with Python

k-means Clustering
Decision Trees
Linear Regression
Logistic Regression

Step 6: Advanced Machine Learning Topics with Python

Support Vector Machines
Kaggle Titanic Competition (with Random Forests)
Dimensionality Reduction

Step 7: Deep Learning in Python

Neural Networks and Deep Learning
Theano
Caffe

Python (1) - 7 Steps to Mastering Machine Learning With Python的更多相关文章

  1. 《Learning scikit-learn Machine Learning in Python》chapter1

    前言 由于实验原因,准备入坑 python 机器学习,而 python 机器学习常用的包就是 scikit-learn ,准备先了解一下这个工具.在这里搜了有 scikit-learn 关键字的书,找 ...

  2. 【Machine Learning】Python开发工具:Anaconda+Sublime

    Python开发工具:Anaconda+Sublime 作者:白宁超 2016年12月23日21:24:51 摘要:随着机器学习和深度学习的热潮,各种图书层出不穷.然而多数是基础理论知识介绍,缺乏实现 ...

  3. Seven Steps to Success Machine Learning in Practice

    Seven Steps to Success Machine Learning in Practice Project failures in IT are all too common. The r ...

  4. Getting started with machine learning in Python

    Getting started with machine learning in Python Machine learning is a field that uses algorithms to ...

  5. Machine Learning的Python环境设置

    Machine Learning目前经常使用的语言有Python.R和MATLAB.如果采用Python,需要安装大量的数学相关和Machine Learning的包.一般安装Anaconda,可以把 ...

  6. [Machine Learning with Python] Data Preparation through Transformation Pipeline

    In the former article "Data Preparation by Pandas and Scikit-Learn", we discussed about a ...

  7. [Machine Learning with Python] Data Preparation by Pandas and Scikit-Learn

    In this article, we dicuss some main steps in data preparation. Drop Labels Firstly, we drop labels ...

  8. [Machine Learning with Python] Familiar with Your Data

    Here I list some useful functions in Python to get familiar with your data. As an example, we load a ...

  9. [Machine Learning with Python] My First Data Preprocessing Pipeline with Titanic Dataset

    The Dataset was acquired from https://www.kaggle.com/c/titanic For data preprocessing, I firstly def ...

随机推荐

  1. PHP---------PHP函数里面的static静态变量

    工作一年了,一年里很少用到static这个关键词,不管是类里面还是方法里面基本都没怎么用过.平时看到类里面有这个都没什么好奇的,今天在函数里面看到了这个,就去百度了一下. <?phpfuncti ...

  2. W3cshool之JavaScript基础

        1.  JavaScript 对大小写敏感 名为 "myfunction"的函数和名为 "myFunction" 的函数是两个不同的函数,同样,变量 & ...

  3. c语言的学习秘籍

    c语言其实是一环套一环胡的,最开始的是变量,然后是数组,接着是结构体,接着是链表.(其他的是c语言的语法,那东西大多了就会了.) 学习时可以从程序在电脑里的内存看起,先了解变量,将多个变量连起来就是数 ...

  4. 一个IP能建立的最大连接数是多少?

    在探讨这个问题前,我们先假设一种经典的连接模型: Client -> Load Balancer-> RealServer Pool 并且我们假设这里使用NAT模式的负载均衡,在这种模式下 ...

  5. Coursera台大机器学习课程笔记3 – 机器学习的可能性

    提纲: 机器学习为什么可能? 引入计算橙球概率问题 通过用Hoeffding's inequality解决上面的问题,并得出PAC的概念,证明采样数据学习到的h的错误率可以和全局一致是PAC的 将得到 ...

  6. 19. 星际争霸之php设计模式--迭代器模式

    题记==============================================================================本php设计模式专辑来源于博客(jymo ...

  7. python核心编程学习记录之错误与异常

  8. SVN服务端启动解决方案(2013-12-10 记)

     解决每一次开机都得用DOS启动SVN服务,而DOS窗口又无法关闭的情况 1.安装Setup-Subversion-1.8.5.msi搭建好SVN服务端(下载地址:http://subversion. ...

  9. solr初学

    1.我按照网上说的,先去下载了一个版本的额solr.solr-5.4.1 首先有些让我先配饰tomcat,我之前没有接触过solr所以先没去看如何配置,估计也和jdk的配置差不多. 2.下载好后我也想 ...

  10. 2015弱校联盟(1) -J. Right turn

    J. Right turn Time Limit: 1000ms Memory Limit: 65536KB frog is trapped in a maze. The maze is infini ...