Gain insights into data science with easy-to-follow, hands-on explanations. Explore essential concepts quickly and efficiently, even without prior statistics knowledge, for a career boost.

GrokkingDataScientist.tar.gz

jupyter_job

Master the skills that can get you a $100K+ salary even if you bunked your statistics classes. 

No need to waste hours and hours on browsing from one article to the next and piecing together the info you need to grasp important topics. No need to get overwhelmed by the information overload. Find easy to follow, hands-on, and fun explanations of all the essential topics in one place so you can quickly and efficiently learn what you need to thrive as a data scientist.

"Is this course right for me?" Continue to read to decide for yourself!

- "I want to understand this data science concept. Let me Google it". Then after hours of surfing, reading random articles, and invoking the heavens, you are more confused than before.
- "Data science is the sexiest and highest paying job of the 21st century. I want to become a data scientist too".
- "I have a basic knowledge of Python, willingness to learn, and commitment to become a great data scientist."

Is that you? If yes, you are at the right place.

Grokking Data Science

## 5. Reshaping of Arrays
Reshaping is about changing the way items are arranged within the array so that the shape of the array changes, but the total number of elements in both arrays remains the same, e.g., you can use it to convert a *1D* array into *2D* array.

Reshaping is a very useful operation and it can easily be done using the `reshape()` method. Since a picture speaks a thousand words, let's see the effects of reshaping visually:

# 5. Reshaping of Arrays
Reshaping is about changing the way items are arranged within the array so that the shape of the array changes, but the total number of elements in both arrays remains the same, e.g., you can use it to convert a *1D* array into *2D* array.

Reshaping is a very useful operation and it can easily be done using the `reshape()` method. Since a picture speaks a thousand words, let's see the effects of reshaping visually:

Python Fundamentals for Data Science

The Fundamentals of Statistics

Machine Learning 101

End-to-End Machine Learning Project

The Real Talk

NumPy Basics - Reshaping and Concatenation

5. Reshaping of Arrays