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March 23, 2023 05:44
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Cheatsheets
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| ๐๐ข๐ฌ๐ญ ๐จ๐ ๐๐๐ซ๐๐๐ฎ๐ฅ๐ฅ๐ฒ ๐๐ฎ๐ซ๐๐ญ๐๐ 65 ๐๐ก๐๐๐ญ๐ฌ๐ก๐๐๐ญ๐ฌ ๐ฒ๐จ๐ฎ ๐ฐ๐ข๐ฅ๐ฅ ๐๐ฏ๐๐ซ ๐ง๐๐๐ :- | |
| 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 |
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