Five FREE Certifications to add to your Resume.

- Python
- Machine Learning
- NLP

(A Thread) 🧵👇

1. Data Flair Python Course

In-depth Python course with a perfect blend of theoretical knowledge and practical hands-on to make you industry ready!

👉 https://t.co/WAxhr9br9W
2. Programming Essentials in Python (CISCO)

This course is a great place for beginners to get started - with no prerequisites. You can learn Python from scratch and get certified by CISCO.

👉 https://t.co/2RNF0fuPgZ
3. Machine Learning Crash Course by Google

Learn to apply the fundamental machine learning concepts with this course and get real-world experience by participating in Kaggle competitions.

👉 https://t.co/Ak4Oeq5zcV
4. Machine Learning with Python

This course will teach you about the basics of machine learning, the difference between Supervised vs Unsupervised Learning and look into how Statistical Modeling relates to Machine Learning.

👉 https://t.co/K3v5hblxX7
5. Introduction to Deep Learning

This course by Kaggle teaches you to use TensorFlow and Keras to build and train neural networks for structured data.

👉 https://t.co/1En62yez3F
That's a wrap! 👋

Thanks for reading the thread. ❤️

Follow me @Saboo_Shubham_ to access more such ML, NLP, NoCode related content in the future.

More from All

Ivor Cummins has been wrong (or lying) almost entirely throughout this pandemic and got paid handsomly for it.

He has been wrong (or lying) so often that it will be nearly impossible for me to track every grift, lie, deceit, manipulation he has pulled. I will use...


... other sources who have been trying to shine on light on this grifter (as I have tried to do, time and again:


Example #1: "Still not seeing Sweden signal versus Denmark really"... There it was (Images attached).
19 to 80 is an over 300% difference.

Tweet: https://t.co/36FnYnsRT9


Example #2 - "Yes, I'm comparing the Noridcs / No, you cannot compare the Nordics."

I wonder why...

Tweets: https://t.co/XLfoX4rpck / https://t.co/vjE1ctLU5x


Example #3 - "I'm only looking at what makes the data fit in my favour" a.k.a moving the goalposts.

Tweets: https://t.co/vcDpTu3qyj / https://t.co/CA3N6hC2Lq

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