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Lessons Learned After 6.5 Years Of Machine Learning

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Sign in Sign out Submit an Article Latest Editor’s Picks Deep Dives Newsletter Write For TDS Toggle Mobile Navigation LinkedIn X Toggle Search Search Machine Learning Lessons Learned After 6.5 For me, it was a great time to start learning machine learning, because the field was moving so fast that there was always something new.

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How I Automated My Machine Learning Workflow with Just 10 Lines of Python

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Sign in Sign out Contributor Portal Latest Editor’s Picks Deep Dives Contribute Newsletter Toggle Mobile Navigation LinkedIn X Toggle Search Search Data Science How I Automated My Machine Learning Workflow with Just 10 Lines of Python Use LazyPredict and PyCaret to skip the grunt work and jump straight to performance.

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Build Interactive Machine Learning Apps with Gradio

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Make sure to check out Hugging Face Spaces for a wide range of machine learning applications where you can learn from others by examining their code and share your work with the community. If you found this article valuable, please consider sharing it with your network.

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I Won $10,000 in a Machine Learning Competition — Here’s My Complete Strategy

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In this post, I’ll show you exactly how I did it with detailed explanations and Python code snippets, so you can replicate this approach for your next machine learning project or competition. The world’s leading publication for data science, AI, and ML professionals.

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Top 7 Data Science, Large Language Model, and AI Blogs of 2024

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Understanding Statistical Distributions through Examples Understanding statistical distributions is crucial in data science and machine learning, as these distributions form the foundation for modeling, analysis, and predictions. Read to gain insights into how each distribution plays a role in real-world machine-learning tasks.

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When a model touches millions: Hatim Kagalwala on accuracy accountability, and applied machine learning

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Machine learning isn’t just a niche tool anymore. Besides being a data scientist, he’s an expert at building machine learning solutions where margins for error are razor-thin. Working with cross-functional teams, I helped build machine learning models tailored to the specific challenges of these markets.

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I counted all of the yurts in Mongolia using machine learning

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Indicator Value Years Population 3,481,145 2023 Fertility rate 2.7 2023 Intentional homicides (per 100,000 people) 6 2021 Individuals using the Internet (% of population) 1% → 83% 2000 → 2023 Poverty headcount ratio at $2.15 Indicator Value Years Population 3,481,145 2023 Fertility rate 2.7