@datascibykashi: If you want to survive and grow in AI & Machine Learning roles, these skills are non-negotiable: 1️⃣ Python for ML NumPy, Pandas, Scikit-learn. No Python, no Machine Learning career. 2️⃣ Machine Learning Fundamentals Regression, classification, bias-variance tradeoff, regularization. Models matter more than buzzwords. 3️⃣ Data Cleaning & Feature Engineering 80% of real ML work is fixing messy data. This is where most beginners fail. 4️⃣ Model Evaluation & Metrics Accuracy is not enough. Learn precision, recall, F1, ROC-AUC. 5️⃣ Basic Deep Learning Understanding Neural networks, loss functions, backpropagation. You don’t need PhD math, but you need clarity. 6️⃣ Real Projects (Not Toy Examples) Kaggle, real datasets, end-to-end pipelines. Projects > certificates. 📈 Master these and you become job-ready, not just course-ready. 💬 COMMENT TO BOOST REACH: Which skill is hardest for you right now? A) Python B) ML Theory C) Data Cleaning D) Projects 👇 Comment A/B/C/D — I reply to everyone. #creatorsearchinsights #machinelearning #aiskills #ai #datascience

Data Scientist | Kashi

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Sunday 08 February 2026 08:28:35 GMT