Global Certificate in ML Travel Forecasting
-- ViewingNowThe Global Certificate in ML Travel Forecasting is a comprehensive course that equips learners with essential skills for career advancement in the data science industry. This course focuses on travel forecasting, a critical aspect of transport, tourism, and hospitality sectors.
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⢠Machine Learning Fundamentals: Introduction to machine learning, supervised and unsupervised learning, regression and classification algorithms.
⢠Time Series Analysis: Autoregressive integrated moving average (ARIMA), exponential smoothing, decomposition of time series, seasonal patterns.
⢠Feature Engineering: Data pre-processing, data cleaning, variable creation, transforming data into a suitable format for machine learning models.
⢠Deep Learning: Introduction to deep learning, artificial neural networks, recurrent neural networks (RNN), long short-term memory (LSTM) networks.
⢠Travel Forecasting Techniques: Demand forecasting, airline revenue management, transportation forecasting, tourism demand analysis.
⢠Model Evaluation: Model selection, cross-validation, performance metrics, statistical significance testing, hypothesis testing.
⢠Big Data Analytics: Distributed computing, Hadoop, Spark, data warehousing, data lakes.
⢠Machine Learning Tools: Python, R, scikit-learn, TensorFlow, Keras, PyTorch.
⢠Ethics in Machine Learning: Bias and fairness, data privacy, model transparency, accountability, ethical considerations in travel forecasting.
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