Vikash Das
Welcome to the channel and join us on an exciting journey where we delve into the realms of machine learning, SQL, mathematics, and deep learning, empowering you with the knowledge and skills to conquer the data-driven landscape.
I understand that embarking on a successful data science career requires more than just technical expertise. That's why I'm offering career guidance and mentorship videos that provide invaluable insights into industry trends, best practices, and personal development. Our aim is to empower you with the skills, confidence, and real-world understanding to navigate the ever-evolving data science landscape and achieve your professional goals.
So whether you're a beginner taking your first steps into data science or an experienced practitioner looking to expand your skill set, this channel has something for everyone. Let's embark on this educational adventure together, unlocking the true potential of data science and shaping a future powered by insights.
Short Candid Talk 😅
MLOps Mastery Batch For Professionals 🚀 | Scholarship For Students 🤓✅
MLOps VS AIOps VS LLMOps - Difference Simplified✅
The Only Data Science Roadmap You'll Need 🚀
Next Career Move - DevOps To MLOps? Don't miss this..
GenAI Basic - Langchain VS LangGraph✅
MCP: Only Explanation You Need | Model Context Protocol In Hindi
Your First Step To Dream MLOps Career | MLOps Mastery Program🏆🎉
MLOps: День 25 — Настройка Prometheus-Grafana с развертыванием EKS🚀
MLOps: Day 24 - EKS Cluster Deployment 🗿 | MLOps Capstone Project🏆
MLOps: Day 23 - CICD Implementation On MLOps Capstone Project✅
MLOps: Day 22 - App Building & Automation Using DVC | Capstone Project
MLOps: Day 21 - Experiment Tracking On Capstone Project | MLFlow & Dagshub
MLOps: Day 20 - Introduction To Capstone Project 🏆
MLOps: Day 19 - Build Your First Prometheus-Grafana Project On Kubernetes Cluster 🚀
MLOps: Day 18 - Beginner's Guide To Prometheus & Grafana 🤓✅
MLOps: Day 17 - Build Your First Kubernetes Project 🚀
MLOps: Day 16 - Kubernetes (MLOPS Edition) | Part - 1 ✅
MLOps: Day 15 - Complete CICD On AWS | Deploying Our ML Application 🚀
MLOps: Day 14 - Building ML App Using FastAPI✅
MLOps: Day 13 - Model Evaluation & Push To AWS S3 Bucket✅
MLOps: Day 12 - Data Validation - Data Transformation - Model Training✅
MLOps: Day 11 - Data Ingestion | Vehicle Insurance Domain🚀
MLOps: Day 10 - MongoDB Setup & Notebook Experiment🤓
MLOps: Day 9 - Project Introduction | Vehicle Insurance Domain🚀
Guide To A Remote Data Scientist Job | Complete Stratergy 💡
MLOps: Day 8 - Docker Masterclass | Zero To Hero✅
MLOps: Day 7 - Continuous Integration | Zero To Hero✅
MLOps: Day 6 - Complete Tutorial For MLFlow | Experiment Tracking✅
MLOps: Day 5 - End to End ML Pipeline using DVC & AWS S3 🚀