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30 days of Tech with Projects Series

System Design Template

Complete System Design Case Studies

Complete 60 Days of Data Science and Machine Learning Series

30 days of Machine Learning Ops

30 Days of Natural Language Processing ( NLP) Series

Data Science and Machine Learning Research ( papers) Simplified **

30 days of Data Engineering with projects Series

60 days of Data Science and ML Series with projects

100 days : Your Data Science and Machine Learning Degree Series with projects

23 Data Science Techniques You Should Know

Tech Interview Series — Curated List of coding questions

Complete System Design with most popular Questions Series

Complete Data Visualization and Pre-processing Series with projects

Complete Python Series with Projects

Complete Advanced Python Series with Projects

Kaggle Best Notebooks that will teach you the most

Complete Developers Guide to Git

Exceptional Github Repos — Part 1

Exceptional Github Repos — Part 2

All the Data Science and Machine Learning Resources

210 Machine Learning Projects


6 Highly Recommended Data Science and Machine Learning Courses that you MUST take ( with certificate) - 

  1. Complete Data Scientist : https://bit.ly/3wiIo8u

Learn to run data pipelines, design experiments, build recommendation systems, and deploy solutions to the cloud.


  1. Complete Data Engineering: https://bit.ly/3A9oVs5

Learn to design data models, build data warehouses and data lakes,automate data pipelines, and work with massive datasets


  1. Complete Machine Learning Engineer : https://bit.ly/3Tir8ub

Learn advanced machine learning techniques and algorithms -  including how to package and deploy your models to a production environment.


  1. Complete Data Product Manager : https://bit.ly/3QGUtwi

Leverage data to build products that deliver the right experiences,to the right users, at the right time. Lead the development of data-driven products that position businesses to win in their market.


  1. Complete Natural Language Processing : https://bit.ly/3T7J8qY

Build models on real data, and get hands-on experience with sentiment analysis, machine translation, and more .


  1. Complete Deep Learning: https://bit.ly/3T5ppIo

Learn to implement Neural Networks using the deep learning framework PyTorch


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