My Brain Cells

Easiest (and best) learning materials for anyone with a curiosity for machine learning and artificial intelligence, Deep learning, Programming, and other fun life hacks.

Curated 65 Cheatsheets (All you need)

Meticulously curated a collection of 65 indispensable cheatsheets, designed to be your ultimate resource for quick and easy access to essential information. In a world brimming with information overload, these cheatsheets serve as your navigational compass, condensing complex concepts, guidelines, and tips into easily digestible one-pagers. Whether you’re a seasoned professional looking for a handy reference or a novice eager to accelerate your learning curve, our curated cheatsheets cover a diverse array of topics, making it your one-stop-shop for quick answers and insightful knowledge. So, let’s embark on this knowledge-packed journey and discover the power of 65 cheatsheets—all you need to simplify your life.

1.  Python : https://lnkd.in/grD8XUS6

2.  Pandas : https://lnkd.in/g4yTJ7CP

3.  NumPy : https://lnkd.in/gg9Uw-km

4.   Matplotlib https://lnkd.in/gahrGicD

5.  Seaborn https://lnkd.in/gcu4UKpw

6.  Scikit-learn https://lnkd.in/gGfkNu5i

7.  TensorFlow : https://lnkd.in/g3fw3uRV

8.  Keras : https://lnkd.in/gfPTfbgg

9.  PyTorch https://bit.ly/3lnsiIz

10.  SQL : https://lnkd.in/gnwe4qcb

11. R : https://lnkd.in/gEgJ6A8j

12.  Git : https://lnkd.in/gyzhztvH

13. AWS https://bit.ly/3ZQWMS1

14. Azure https://bit.ly/42f4N4V

15.  Google Cloud Platform : https://bit.ly/3JJADzv

16.  Docker : https://bit.ly/3Lt2zJe

17.  Kubernetes https://lnkd.in/gjXCT7Mb

18. Linux Command Line : https://bit.ly/3FtcTgw

19.  Jupyter Notebook https://lnkd.in/g7cPmgHQ

20.  Data Wrangling :https://bit.ly/3TiMibP

21.  Data Visualization : https://lnkd.in/gQ52Jd_J

22.  Statistical Inference https://lnkd.in/grNXVQh5

23. Probability : https://lnkd.in/gvnWCphc

24. Linear Algebra : https://lnkd.in/gty6XpVF

25.  Calculus https://lnkd.in/gjhsmsxu

26. Time Series : https://bit.ly/3Fvuep4

27. NLP: https://bit.ly/3Fvursm

28.  Neural Network : https://lnkd.in/gThs2AAp

29. Deep Learning : https://lnkd.in/gVbSPae2

30.  Machine Learning : https://bit.ly/3mZ5Wh3

31.  Apache Spark : https://lnkd.in/ge7Rj-Yr

32. Hadoop : https://bit.ly/3Lq34DR

33. Big-O Notation t: https://lnkd.in/gfYqM8WU

34.  Regular Expression : https://lnkd.in/gE9kZTZW

35.  Unix/Linux Permissions https://bit.ly/3ZUfwA8

36.  Python String Formatting https://lnkd.in/gHi26Uk2

37.  Flask : https://lnkd.in/gGzbSTgU

38.  Django : https://lnkd.in/grZcWz8y

39.  AWS S3 : https://bit.ly/3JMYe2A

40.  AWS Lambda : https://bit.ly/3Jq2QtI

41.  AWS EC2 : https://bit.ly/3JpyuYz

42.  AWS CloudFormation : https://bit.ly/3JHE3D1

43.  AWS IAM : https://bit.ly/3mYW6f5

44.  AWS API Gateway : https://bit.ly/3LvmW8K

45.  AWS Route 53 : https://lnkd.in/gJWK9KqR

46.  AWS EKS : https://lnkd.in/gUZYvdvB

47.  AWS ECS : https://lnkd.in/geu_Hmu3

48. AWS RDS : https://lnkd.in/g-i6kMWB

49.  AWS Redshift : https://lnkd.in/gH_fEdU8

50.  AWS DynamoDB : https://lnkd.in/ghvfM889

51. Git : https://lnkd.in/gyzhztvH

52.  SQL : https://lnkd.in/gyierV3f

53.   PostgreSQL : https://lnkd.in/gzfiW7zB

54.  MySQL: https://lnkd.in/g4JnPVTe

55.  MongoDB : https://lnkd.in/gHc4F4ER

56.  PySpark RDD : https://lnkd.in/gTHUYckq

57.  PySpark MLlib : https://lnkd.in/ggSy4AqJ

58.  PySpark GraphX : https://lnkd.in/gmttid5x

59.  PyTorch Lightning : https://lnkd.in/gNnq5QXz

60.   TensorFlow Probability Cheat Sheet: https://lnkd.in/gr3bgDGP

61. OpenAI GPT-3 Documentation: https://lnkd.in/gawB_SC9

62. GPT-3 API Reference: https://lnkd.in/gtCGZvX8

63. GPT-3 GitHub Repository: https://lnkd.in/g56cQQPD

64. How to use GPT-3 in Python: https://lnkd.in/gSx354PM

65. Getting started with GPT-3: https://lnkd.in/g999qJmH

Anthony

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