nixtla @nixtlainc

Open-source time series forecasting software. nixtla.io San Francisco Joined February 2022

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nixtla @nixtlainc

a week ago

Want to land a job as a Machine Learning Engineer at OpenAI or DoorDash? Turns out brushing up on your Python isn’t enough… Step 1: Know TimeGPT 😉 (it’s literally in their job descriptions) Step 2: Apply Step 3: Show off those forecasts 🚀

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nixtla @nixtlainc

a week ago

Discover which automated time series features drive model performance with MLforecast! Which features from your automated time series engineering actually improve predictions? Without visibility into feature importance, you don't know whether your automated feature engineering…

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nixtla @nixtlainc

2 weeks ago

Generate statistical lag features with one dictionary in MLforecast! Lag features are time-shifted versions of your data that capture temporal dependencies, enabling models to learn how past values influence future predictions. Building these features manually requires complex…

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nixtla @nixtlainc

2 weeks ago

Access 7 specialized long-horizon forecasting datasets for extended predictions! Long-horizon datasets enable researchers to validate model performance across multiple years and changing market conditions. These extended datasets support comprehensive benchmarking that reveals…

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nixtla @nixtlainc

3 weeks ago

Scale time series forecasting across any DataFrame format! Most time series libraries lock you into a single DataFrame framework, forcing painful migrations when scaling up. Switching frameworks usually means rewriting data loading, preprocessing, and model interfaces with tons…

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nixtla @nixtlainc

3 weeks ago

Transform forecasting workflows with TimeGPT's Polars support! Large time series datasets cause memory overflow when you try to load everything into pandas for forecasting. Your workflow crashes before you even get to model training, wasting hours of preprocessing work.…

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nixtla @nixtlainc

4 weeks ago

Enhance anomaly detection with TimeGPT exogenous features! Do you find your anomaly detection models flagging expected seasonal events as outliers? Without context about holidays, events, or calendar patterns, models treat predictable spikes as anomalies. TimeGPT supports…

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nixtla @nixtlainc

4 weeks ago

What if you could improve your forecasts by 35%… in 2 weeks? That’s exactly what happened when @Decathlon teamed up with Nixtla. Using TimeGPT, the world’s largest sporting goods retailer: 📈 Improved accuracy by 35% 📉 Reduced bias by 77% ⚡ Unified millions of time series…

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nixtla @nixtlainc

a month ago

Tesla wants machine learning engineers… and they want them using Nixtla. Not to flex but... we're literally job description-worthy now. #TimeGPT #Tesla #MachineLearning

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nixtla @nixtlainc

a month ago

📊 Do you build complex time series models without testing simple baselines first? You can't evaluate whether your sophisticated model is actually worth the effort without a basic comparison point. Mean forecast solves this by providing the simplest baseline - using the average…