Python (1)-7 Steps to mastering machine learning with Python

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