Business Analytics for Management Decision
This course will be exclusively quantitative and an application to business/management-related problems. It is connected with problem sets and real life cases to know the relevance of a particular problem and the decision-making thereof.
Advanced Data Mining with Weka
Explore advanced data mining techniques using Weka, covering time series forecasting, incremental learning, integration with R and Python, and distributed processing for big data analysis.
Splunk Machine Learning
Aprende a utilizar Splunk Machine Learning Toolkit para análisis de datos, detección de anomalías y predicciones con asistentes especializados y actualizaciones de versiones.
Time Series Analysis and Forecasting in R
This full course on Time Series Analysis will be taught by Dr Abhinanda Sarkar. Dr Sarkar is the Academic Director at Great Learning for Data Science and Machine Learning Programs. He is ranked amongst the Top 3 Most Prominent Analytics & Data Science Ac…
Time Series
Explore time series analysis techniques including forecasting, regression, moving averages, and trend analysis for data-driven insights.
Artificial Intelligence Projects
Explore AI projects using neural networks for bank default prediction, stock forecasting, and image processing. Learn CNN, RNN, and time series analysis techniques.
PyTorch Time Sequence Prediction With LSTM - Forecasting Tutorial
Learn to predict time sequences using PyTorch and LSTMs. Create sine waves, build an LSTM model, implement a training loop, and perform final testing for accurate forecasting.
MLOps MLflow: Time Series Forecasting with SkTime and Prophet in Spanish
Aprende a utilizar SkTime y Prophet para pronósticos de series temporales con MLflow, mejorando tus habilidades en MLOps y análisis predictivo.
How Datadog is Transforming Time Series Forecasting with Toto
Discover how Toto, a Time Series-Optimized Transformer, revolutionizes forecasting through advanced architecture and trillion-point training data, enabling precise zero-shot predictions for observability metrics.
Forecasting with the FB Prophet Model
Learn to use Facebook's Prophet model for time series forecasting in Python, covering data preparation, model training, evaluation, and incorporating holiday effects.
Time Series Forecasting with PyCaret
Explore automated time series forecasting with PyCaret's low-code module. Learn setup, EDA, training, and forecasting techniques to streamline your predictive modeling workflow.
Real-Time Forecasting at Scale Using Delta Lake and Delta Caching
Explore real-time forecasting at scale using Delta Lake and Delta Caching. Learn efficient data sampling, storage, and caching techniques for handling massive datasets and achieving rapid forecast response times.
Time Series Forecasting - ARIMA Models and Regression Analysis
Learn to predict future values using ARIMA, covering AutoReg, data handling, and model creation. Gain practical skills in time series forecasting with real-world examples and comprehensive explanations.
Multivariate Time Series on COVID-19 - Time Series Forecasting
Learn multivariate time series forecasting techniques applied to COVID-19 data. Explore statistical modeling for predicting trends and making informed decisions across various industries.
Stock Price Prediction Using Deep Learning - Deep Learning Tutorial
Learn to predict stock prices using deep learning techniques, including time series forecasting, ANN, and RNN, with practical implementation and a case study approach.
Coupling Time-Aware Multipersistence with Graph CNNs for Time Series Forecasting
Explore innovative time series forecasting using Graph Neural Networks and multipersistence, applied to traffic flow, cryptocurrency prices, and COVID-19 hospitalizations.
Using PHP Outside the Web Context
Explore PHP's potential beyond web development, delving into scientific computing, machine learning, and data science applications. Discover recent projects and advancements in PHP for solving complex problems.
How to Forecast Sales Using Prophet and Python
Learn to build accurate sales forecasts using Prophet and Python in just 15 lines of code. Discover how to leverage this powerful tool for various time series predictions, from market trends to weather forecasting.
MLOps at Scale: Predicting Bus Departure Times Using 18,000 ML Models
Explore MLOps at scale through a case study on predicting bus departure times using 18,000 ML models. Learn practical insights for implementing large-scale machine learning projects.
AutoML Time Series Forecasting for Infrastructure Resources
Spark-based AutoML framework for scalable time series forecasting of IT infrastructure resources, enabling efficient long-term planning and daily dynamic provisioning.
Auto-Train a Time-Series Forecast Model with AML & ADB
Learn to auto-train time-series forecast models using Azure Machine Learning and Azure Databricks for large-scale enterprise solutions in supply chain, healthcare, insurance, and finance.