Pic credits : gridai
Youtube for all the implemented projects and tech interview resources -- Ignito Youtube Channel
Complete Cheat Sheet for Tech Interviews - How to prepare efficiently
I took theses Projects Based Courses to Build Industry aligned Data Science and ML skills
Part 1 - How to solve Any ML System Design Problem
Pre-requisite : Day 1 — Day 60 : Quick Recap of 60 days of Data Science and ML
This repository contains everything you need to become proficient in MLOps
Data preprocessing ( Collecting, Labeling and Validating data)
Data Labelling and Advanced Data Labeling Methods
SELECT, FROM, WHERE and Date and Extract in BigQuery
Comparison between MySQL and PostgreSQL and Mongo DB
Introduction to SQL and NoSQL Databases
Model Deployment and monitoring
Model Resource Management Techniques
End — to — End ML Workflow Cycle
MLOps Logging and Documentation
Continuous Delivery and Deployment
MLOps architecture and Infrastructure Stack
Model Serving Patterns and Infrastructures
Some amazing MLOps research papers that I have read over the years to help you boot up to the industry standards and what's next in this field.
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
6 Highly Recommended Data Science and Machine Learning Courses that you MUST take ( with certificate) -
- Complete Data Scientist : https://bit.ly/3wiIo8u
Learn to run data pipelines, design experiments, build recommendation systems, and deploy solutions to the cloud.
- 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
- 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.
- 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 .
- 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.
- Complete Deep Learning: https://bit.ly/3T5ppIo
Learn to implement Neural Networks using the deep learning framework PyTorch