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Nov 16 • 6 tweets • 2 min read
Did you know that coding is not the only way to get into Data science?

Excel will also help us to get into Data Science.

Master Excel for Free with these courses.

A Thread 🧵👇
1. Analyzing Data with Excel Course by IBM

edx.org/course/analyzi…
2. Data Analytics Using Excel

3. Freecodecamp's MS Excel Tutorial for Beginners

4. Advanced Excel Full Course 2022

That's a wrap!

I hope you find these courses useful.

Like and RT the first tweet to share with your friends.

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Python Space | Community for Python Engineers Profile picture
Nov 12
Learn Computer Science to Machine Learning for Free from Harvard

Did you know that Harvard provides 100s Free online course, open this if you don't want to miss.

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Python Space | Community for Python Engineers Profile picture
Nov 10
The Average Data Scientist's Salary is around $120K.

Python is highly used in Data Science. Luckily, we can master Python for Free

Google, IBM and Harvard Sponsored Free courses.

Open this thread for free courses 🧵👇
1. CS50P from Harvard

youtube.com/playlist?list=…
2. Python for Data Science by IBM

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Python Space | Community for Python Engineers Profile picture
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Python Space | Community for Python Engineers Profile picture
Nov 8
Python Quiz # 3

What is the output of this code snippet?

A) ['abc', 'y', 'z']
B) [1, 2, 3]
C) ['x', 'y', 'z']
D) All of the above

Answer for Quiz # 2 in the thread 🧵👇 Image
Python Quiz # 2 answer 👇

If you have missed previous quizzes in this series, don't worry! You can follow this link and go back to quiz 1.

twitter.com/i/events/15894…
Read 4 tweets
Python Space | Community for Python Engineers Profile picture
Nov 5
Free Python Course for beginners!

Our first video is out on our YouTube Channel. Please check the video and let us know your feedback.

This is my first video and doesn't have any fancy setup. I hope you like this video.

Thanks,

A Thread 🧵👇

1. CS50P from Hardvard

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2. Introduction to Python Programming from @udacity

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Read 8 tweets
Python Space | Community for Python Engineers Profile picture
Nov 4
Monitor the performance of your machine learning models and detect silent model failure using a Python library.

@TheRealNannyML open source tool allows estimation without access to target data

Check their GitHub Repo: bit.ly/nannyml-github

Main features in the Thread 🧵 👇
1. Performance monitoring and estimation

You can detect real-world performance drops without waiting years for real data.

When the outcome of your deployed model is delayed, or post-deployment target labels are absent, you can use this library to estimate model performance
2. Data drift detection

Data drift happens when the distribution of the models input changes. NannyML detects multivariate data drift using a methodology developed by the team, called PCA-based data reconstruction.
Read 6 tweets

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