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  • Dear Waqas Thank you so much for your response. Please see my responses below in yellow: The specific syntax or code you are currently using: I am using the Syntax as it is. I have not modified anything so far in the syntax. The exact ...

  • Dear Nabanita, Thank you for reaching out. We understand that you are encountering issues while estimating the Total Fertility Rate (TFR) at both the national and sub-national levels for India using NFHS-5 data. We would be happy to assist you. ...

  • Dear Team I am trying to estimate TFR rate at National and Sun-national level for India using NFHS-5 data. I am using the following Syntax attached and getting several errors. Please help how can I estimate TFR using those Syntax and whether I need ...

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Latest Blogs

  • Introduction The choice of machine learning model depends on the nature of data for which we're trying to either perform classification or regression. There are mainly the following classes of data for which we build machine learning models Tabular ...

  • Predicting short-term market trends across different asset classes using Deep Learning ¶ In this notebook, we'll develop a Deep Learning model that tries to predict short-term market trends across different asset classes. Then, we will test the out-of-sample ...

  • Time-series data analysis using Deep Learning ¶ In this blog, we'll analyze stock prices of a company with the aim of predicting stock prices based on historical prices. The stock price levels have a structure that we want to ...

  • Have you ever had a conversation with a chatbot that made you feel like you were talking to a real person? Or perhaps you’ve been impressed with a search engine’s ability to anticipate your next query before you’ve even typed it into the search box? ...

  • In machine learning, where models sort things into categories, choosing the right way to measure their success is important. Accuracy, which is how often the model guesses correctly, is a popular choice. But there’s another option: F1-score. F1-score ...

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