Course link:https://aicourse.thinkific.com/courses/time-series
0:00 – Project Overview
03:56 – Dataset Overview
09:16 – Yearly Birth Distribution Plot and Birth Rate Plot
In this video, we explore how to predict birthrates using Recurrent Neural Networks (RNN) in Python. As part of the course "Time Series: Mastering Time Series Forecasting using Python", this tutorial walks you through building a time series forecasting model step-by-step. You'll learn how to prepare time series data, structure it for RNNs, build and train the model using libraries like TensorFlow or Keras, and evaluate its performance. This video is perfect for data science enthusiasts, machine learning beginners, or anyone looking to apply RNNs to real-world forecasting problems. By the end, you'll have a working model that predicts future birthrates with meaningful accuracy.
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