If you are a beginner in machine learning and AI, you need a proper workflow and a pipeline to train the best models. The steps mentioned here will help you master machine learning. If you are a beginner transitioning into AI and ML, you need to understand why we follow these steps when building or training a machine learning model. Learn everything from cleaning the dataset, transforming data, preprocessing steps, choosing the right model and tuning the hyperparameters, evaluate the model with the right metrics, and deploy the best model possible. These steps are easy to understand and implement for machine learning and AI. If you are looking for machine learning for beginners, this is for you.
Stay tuned to stay ahead of the curve in the world of science!
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Books:
Ace the Data Science Interview: https://amzn.to/3QPJLp5
Elements of statistical learning: https://amzn.to/3WhAvNI
Introduction to statistical learning: https://amzn.to/4g0vZKq
ML book 1: https://amzn.to/4iAdlLN
PyTorch and sklearn: https://amzn.to/4gvfSFp
LLMs from scratch: https://amzn.to/4gauz11
My Gear:
Microphone: https://amzn.to/4j5qmN5
Beats headphones! Get your's now: https://amzn.to/3ZyZAVj
JBL Bluetooth Speaker: https://amzn.to/4ivtulF
Logitech Ergonomic Keyboard: https://amzn.to/3OQI49P
Logitech Ergonomic Mouse: https://amzn.to/3D6qtrQ
Camera Stand: https://amzn.to/3Zoe6Pi
Studio light: https://amzn.to/4g6GPzy
Pool Table: https://amzn.to/4gsS7xI
As an amazon affiliate, I may earn a small commission if you use these links to buy at no extra cost to you.
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#coding #ai #machinelearning #sciencemajors #datascience #python
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Get your Merch!👕 https://chemcoder.myspreadshop.com/
My website 🖥️: https://kra268.github.io/KeerthanRaoWeb/
Buy me a coffee ☕️: https://buymeacoffee.com/chemcoder
LinkedIn 🤝: www.linkedin.com/in/keerthan-kra268
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GitHub page for math resources: https://github.com/dair-ai/Mathematics-for-ML
Stanford Online: https://www.youtube.com/@UCBa5G_ESCn8Yd4vw5U-gIcg
DeepLearning.ai channel: https://www.youtube.com/@UCcIXc5mJsHVYTZR1maL5l9w
3Blue1Brown channel: https://www.youtube.com/@UCYO_jab_esuFRV4b17AJtAw
Andrej Karpathy: https://www.youtube.com/@UCXUPKJO5MZQN11PqgIvyuvQ
More about my learning journey: https://www.youtube.com/playlist?list=PLRfh8v6mu_F0UJZf6DKnS2athBG38USXS
Here's how you can get started with python: https://youtu.be/BMXKcbMknKU?si=rE4MSMMQgxFMyiXp
If you want to get started with the first lesson: https://www.youtube.com/playlist?list=PLRfh8v6mu_F3MrkmQb6ccoNBI5MbmbM_j
For workshops I have conducted before: https://www.youtube.com/playlist?list=PLRfh8v6mu_F0W7nD2bIDJUDzrPgGO2QK_
Erdos Institute boot-camp to learn ML: https://www.erdosinstitute.org/boot-camp
Coursera's ML course by Andrew Ng: https://www.coursera.org/specializations/machine-learning-introduction?
Welcome to ChemCoder. As a computational chemist myself, I had to transition to AI and ML towards the end of my PhD program and I have to admit, it was a lot of learning, making mistakes and late nights. If you are a graduate student, freshman, sophomore or a senior in college and wondering if this field of chemistry and programming is for you, you ARE in the right place! We as chemists or as scientists in general have a very unique position to learn and integrate our coding skills to bring new technology and innovation to the world. The future depends on us and our ability to learn, stay motivated and persistent in this difficult field. Join our community as we strive to get better every day.
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