@LeachJapan launches AI-driven data preprocessing BPO service itbusinesstoday.com/tech/ai/leach-… #AI #BPOservice #datapreprocessing #digitaltransformation #Leach

🔥 Read our Highly Cited Paper 📚 #Hazard Prediction of #Water Inrush in Water-Rich Tunnels Based on #RandomForest #Algorithm 🔗 mdpi.com/2076-3417/14/2… 👨‍🔬 by Prof. Dr. Nian Zhang et al. 🏫 Taiyuan University of Technology #datapreprocessing #machinelearning

🔍 Exploring Encoding & Scaling in ML ✅ StandardScaler → Numerical features ✅ LabelEncoding → Non-numeric labels ✅ OneHotEncoding → Categorical data Mastering preprocessing for better models! #MachineLearning #DataPreprocessing #FeatureEngineering

🔥 The hottest AI trend: spending 80% of your time on data preprocessing so your model can be 2% more accurate. #AI #MachineLearning #DataScience #TechReality #DataPreprocessing

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6/🧵 Backward Fill (bfill): The opposite of ffill! Use the next valid observation to fill gaps. Also great for time series. #DataPreprocessing

AI Data Processing: Get Smarter Results With These Steps #AIdata #DataPreprocessing #MachineLearning #AISolutions #DataCleaning #AIStrategy #DataScience #AIModels #DataPreparation #ArtificialIntelligence

Encoding turns text into numbers for ML models: Label Encoding: For ordered categories One-Hot Encoding: For unordered categories Pandas’ get_dummies() makes one-hot encoding easy! #ML #DataPreprocessing

Day 76/100 ✅ • Almost done with SyncMeet — doing final checks to ensure everything runs error-free. • Started data preprocessing for my ML project. • Solved a few LeetCode problems. #100DaysOfCode #MERN #MachineLearning #DataPreprocessing #LeetCode #BuildInPublic

AI Journey | ML Workflow Showdown! Is extensive #DataPreprocessing always necessary? 🤔 Not for all models! Today, we compare preprocessing needs for Scikit-learn's RandomForestRegressor vs. TensorFlow Decision Forests (TF-DF). Big differences, big implications for your…

When reducing data dimensionality, what’s your go-to technique? 🔘 PCA 🔘 Feature Selection (e.g. RFE, SelectKBest) 🔘 Autoencoders 🔘 Depends on the dataset Vote & comment why 👇 #DataPreprocessing #MLWorkflow #PCA

14/22 💾 Data is everything. Quality over quantity. Clean, diverse, representative datasets produce better models. Learn data preprocessing, filtering, and deduplication techniques. #DataScience #DataPreprocessing #AIData

6/6 💡 Pro Tip Match transformations to both your data and your model. ⚠️ Missteps like skipping normalization or abusing n-grams can skew results. What’s your favorite transformation? 👇 Share your tips! #AI #ML #DataPreprocessing

🧹 Data Preprocessing = prepping your canvas before the ML masterpiece 🎨 From cleaning to scaling, it's the unsung hero behind great models. 🔗 linkedin.com/in/octogenex #ML #DataPreprocessing #FeatureEngineering

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🚫 Salah besar: scaler.fit_transform(X_test) ✅ Yang benar: scaler.transform(X_test) #DataPreprocessing