Best Laptop Specs For Machine Learning In 2021

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Bare Minimum For Anyone / Cloud Training Only:
Processor: i5 or AMD equivalent
GPU: No dedicated GPU
RAM: 8GB
Hard Drive: 512 GB SSD
Monitor Resolution: 1920x1080

For Training On Machine:
Processor: i7 or AMD equivalent
GPU: Nvidia Card (1660ti, 2060, 2070, 3060, 3070) or AMD equivalent
RAM: 16GB
Hard Drive: 1 TB SSD
Monitor Resolution: 1920x1080

Roadmap to Become a Data Scientist / Machine Learning Engineer in 2022:    • Complete Roadmap to Become a Data Sci...  

Roadmap to Become a Data Analyst in 2022:    • Roadmap to Become a Data Analyst in 2...  

Roadmap to Become a Data Engineer in 2022:    • Full Pathway to Become a Data Enginee...  


Here's my favourite resources:

Best Courses for Analytics:
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IBM Data Science (Python): https://bit.ly/3Rn00ZA
Google Analytics (R): https://bit.ly/3cPikLQ
SQL Basics: https://bit.ly/3Bd9nFu


Best Courses for Programming:
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Data Science in R: https://bit.ly/3RhvfFp
Python for Everybody: https://bit.ly/3ARQ1Ei
Data Structures & Algorithms: https://bit.ly/3CYR6wR


Best Courses for Machine Learning:
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Math Prerequisites: https://bit.ly/3ASUtTi
Machine Learning: https://bit.ly/3d1QATT
Deep Learning: https://bit.ly/3KPfint
ML Ops: https://bit.ly/3AWRrxE


Best Courses for Statistics:
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Introduction to Statistics: https://bit.ly/3QkEgvM
Statistics with Python: https://bit.ly/3BfwejF
Statistics with R: https://bit.ly/3QkicBJ


Best Courses for Big Data:
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Google Cloud Data Engineering: https://bit.ly/3RjHJw6
AWS Data Science: https://bit.ly/3TKnoBS
Big Data Specialization: https://bit.ly/3ANqSut


More Courses:
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Tableau: https://bit.ly/3q966AN
Excel: https://bit.ly/3RBxind

Computer Vision: https://bit.ly/3esxVS5
Natural Language Processing: https://bit.ly/3edXAgW

IBM Dev Ops: https://bit.ly/3RlVKt2
IBM Full Stack Cloud: https://bit.ly/3x0pOm6
Object Oriented Programming (Java): https://bit.ly/3Bfjn0K

TensorFlow Advanced Techniques: https://bit.ly/3BePQV2
TensorFlow Data and Deployment: https://bit.ly/3BbC5Xb
Generative Adversarial Networks / GANs (PyTorch): https://bit.ly/3RHQiRj


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