@TanishPrashar
From Zero to Cloud – My DevOps Journey Begins!
Nothing here yet.
Nothing here yet.
Jan 25 · 5 min read · Sometimes slowing down gives you the clarity that rushing never could. 🎯 I learned this lesson the hard way during my MLOps journey. While preparing for interviews, I made the tough decision to pause my MLflow learning - not quitting, just prioritiz...
Join discussionJan 9 · 4 min read · In Data Science and MLOps, data and training pipelines are more important than just Python code. A typical Data Scientist workflow looks like this: Collect and clean data 📊 Choose algorithms 🧠 Train models multiple times 🔁 Tune parameters ⚙️ ...
Join discussionJan 8 · 3 min read · 🔹 Step-by-Step Project Flow Step 1: Data Collection Collected the dataset required for training the machine learning model. Step 2: Python Setup Set up the Python environment and installed required dependencies: NumPy Pandas Scikit-learn Flask ...
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Jan 7 · 2 min read · its a complete journey of building a model deploying and even monitoring the model once it's putting in production environment. in simple it cover everything, right form -RAW DATA to — Monitoring the model . TO become a MLOps Engineer you should unde...
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