Here is our selection of new articles and resources for today:

• How to Solve the New $1 Million Kaggle Problem - Home Value Estimates 
• 5 data science books you should read in 2017 …

This tutorial is full of useful links, references, and comments. It is organized as follows:

Content

Why Python?

Step 1: Learning the basics

• Books

Step 2: Basic stats and maths

Step 3: Python for data analysis

• Jupyter notebook
• Numpy
• Pandas
• Matplotlib
• Seaborn

Step 4: Machine learning

• Courses…

Here is our selection of articles and resources posted today:

• Face Emotion Recognition 
• Mathematical Optimization to Build Decision Making …

It has been a practice followed religiously by companies and organizations to analyze how they have performed over a period of time. It is mandatory for them to do so; just that some do it to survive and some do it to thrive in concurrent…

Here is our new selection of featured articles and resources published recently: 

• Implementing the Gradient Descent Algorithm in R 
• Muse: a Better Music Recommendation Application …

Each one is a repository in its own, and they cover topics such as time series, regression, outliers, clustering, correlation, Hadoop, deep learning, Python, IoT, data sets, cheat sheets, infographics, and more (AI coming soon.) 

Each one features a number of popular articles and resources.

• 14 Timeless Reference Books…