Start from day 0: https://youtube.com/playlist?list=PLVBat3Ko2nN9z2L0izo1Reb3SmXdw7npz

Join me on #100DaysOfML and follow along to learn machine learning!

Day 7 of 100:
In Day 7 we will be focusing on the Pandas library in Python. The pandas library is as essential library that any machine learning engineer needs to know. It is one of the most used libraries when it comes to dealing with tabular data because of an important data structure of the pandas library – the pandas dataframe. The pandas dataframe is a two dimensional, tabular data structure which is mutable. These properties make it essential for dealing with numerous types of data in machine learning.

Timestamps
0:00 Intro
0:54 Pandas introduction
3:16 Pandas coding tutorial
4:47 Pandas dataframe
8:56 Creating a dataframe
15:53 Copying dataframes
17:45 CSV to dataframe

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Discord Link for School Of Machine Learning:
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https://discord.gg/ZzUwYDjFwm

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Homework
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Pandas library:
https://pandas.pydata.org

Pandas code:
https://colab.research.google.com/github/google/eng-edu/blob/main/ml/cc/exercises/pandas_dataframe_ultraquick_tutorial.ipynb?utm_source=mlcc&utm_campaign=colab-external&utm_medium=referral&utm_content=pandas_tf2-colab&hl=en

Kaggle Salary dataset:
https://www.kaggle.com/jackogozaly/data-science-and-stem-salaries

Google ML crash course:
https://developers.google.com/machine-learning/crash-course/first-steps-with-tensorflow/programming-exercises

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LINKS:
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🖊 DOWNLOAD Machine Learning Roadmap 2021: https://learnml.substack.com

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MORE VIDEOS:
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📌I’m Starting My Machine Learning Company (Day 1)

📌Top Machine Learning Certifications For 2021

📌Why You Should NOT Learn Machine Learning!

📌How I Learnt Machine Learning In 6 Steps (3 months)

📌How To Learn Machine Learning For Free

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