René's URL Explorer Experiment

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    "Regression Analysis",
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    "Logistic Regression",
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      "name": "Week 2: Regression with multiple input variables",
      "description": "This week, you'll extend linear regression to handle multiple input features.  You'll also learn some methods for improving your model's training and performance, such as vectorization, feature scaling, feature engineering and polynomial regression.  At the end of the week, you'll get to practice implementing linear regression in code.",
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      "datePublished": "2023-04-30T00:00:00.000Z",
      "reviewBody": "Optional Lab lot more time than mentioned without prior experience of python and libraries used. Its estimated  time should be change, it's a lot more than 1 hour. Video and exercises are very good.",
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      "datePublished": "2025-04-14T00:00:00.000Z",
      "reviewBody": "Loved Andrew Ng's videos and the hands on Jupyter notebook labs! My understanding of ML has significantly improved thanks to this course and going on to the next course to complete ML specialization!!",
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      "reviewBody": "This course is a brief but thorough introduction. It has a good mixture of theory and practice.Andrew Ng explains every thing very good, understandable and in a fun way.I highly recommend this class!",
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      "reviewBody": "It is the Best Course for Supervised Machine Learning!Andrew Ng Sir has been like always has such important & difficult concepts of Supervised ML with such ease and great examples, Just amazing!",
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      "reviewBody": "amazing course and super easy to follow. my only problem is that it doesn't delve too deeply into the math and science of things and focuses more on practical applications rather than how things work",
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