Mastering OpenCV 4 with Python - 2019

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Object oriented python tutorial
#Python #book
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#CODE_CHALLENGE_3 #LIST #SWAP_TWO_NUMBERS


#Q: The next iteration of Asibeh Tenager will feature an extra-infuriating new item, the Purple Shell. When used, it warps the last place racer into first place and the first place racer into last place. Write a python function purple_shell and implement the Purple Shell's effect.

Note: Given a list of racers, set the first place racer (at the front of the list) to last
place and vice versa.
N.B: use swap mechanism

given list: racers = ["Asibeh", "Naol", "Obang"]
output list = ["Obang", "Naol", "Asibeh"]
Post your solution at @pythonethbot

When applying machine learning to real-world data, there are a lot of steps involved in the process -- starting with collecting the data and ending with generating predictions. (We work with the seven steps of machine learning, as defined by Yufeng Guo.)

#Solution for #CODE_CHALLENGE_3

# Given a list of racers, set the first place racer (at the front of the list)
# Use swap mechanism
def purple_shell(lst):
# swap list items
temp = lst[0]
lst[0] = lst[2]
lst[2] = temp

return lst

# code driver
racers = ['Asibeh', 'Naol', 'Obang']

purple_shell(racers)

#Output: ['Obang', 'Naol', 'Asibeh']

Watch "Introduction to Python part I" on YouTube
https://youtu.be/s-tdEm_vRok

🎲 Quiz 'Python List'
What are the output of a, b and c respectively?
🖊 1 question · ⏱ 1 min

Watch "Data Cleaning using Pandas Part I" on YouTube
https://youtu.be/bH07hRh2e2s

Scikit-learn cheat sheet python
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For data scientists looking forward into the following github repo

This may help you https://github.com/Noh2011/HamoyeIntern

Best Machine Learning Algorithms
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#KeyNote
#ANN #Keras #DEEPLEARNING #AI #TensorFlow
Keras is a deep learning API written in Python that can run on top of TensorFlow. It is quite popular among deep learning users because of its ease of use. TensorFlow is an end-to-end open-source deep learning framework developed and maintained by Google. Similar to Numpy, TensorFlow allows for mathematical computations and manipulation between numerical tensors, runs on CPUs, GPUs, and TPUs. Keras was incorporated in TensorFlow 2.0 (the recent version) as tf.keras (high-level API) and can run on the aforementioned hardwares. TensorFlow also allows for low-level operations with the TensorFlow Core API.

#artificialintelligence #machinelearning #deeplearning #ai #ml #dl #aimemes #mlmemes
Original: Machine Learning TechHub

What is data science?
- Data science is the study of large quantities of data, which can reveal insights that help organizations make strategic choices.
- There are many paths to a career in data science; most, but not all, involve a little math, a little science, and a lot of curiosity about data.
- New data scientists need to be curious, judgemental and argumentative.
- Why data science is considered the sexiest job in the 21th century, paying high salaries for skilled workers.
#KeyNote #DataScience

What is Pandas?

Pandas is an open source library, providing high-performance, easy-to-use data structures and data analysis tools for Python.

The DataFrame is one of Pandas' most important data structures. It's basically a way to store tabular data where you can label the rows and the columns. One way to build a DataFrame is from a dictionary and also importing from CSV(comma-separated value).
#KeyNote #Pandas #DataFrame #DataScience

Watch "A Python tutorial: A Python code to create a file Part II" on YouTube
https://youtu.be/woqHFEtYk-E