Nathan AyersforInfoComm Worldwideinfocommww.hashnode.dev·Nov 19, 2024Unleashing the Power of Lead Scoring and Conversion Forecasting with Data AnalyticsIn today's competitive business landscape, harnessing the power of data analytics is no longer a luxury—it's a necessity. Companies that effectively leverage lead scoring and conversion forecasting models within their data analytics workflows are see...Discuss·1 likelead generation
Ogaga Agofureblog.gagofure.com·Aug 21, 2024Analysing and Visualising Time Series Data with the NottemWeather DatasetTime series analysis is essential for understanding patterns, trends, and seasonality in datasets with time-dependent information. In this blog, I'll guide you through analysing and visualising weather data from this repository. You can find the whol...Discuss·28 readsseasonality
Emma Jonesdigitallyemma.hashnode.dev·Jul 31, 2024Financial Forecasting For Startups: A Key For Enduring SuccessWhy Financial Forecasting is Essential for Startups Financial forecasting is crucial for any startup for a variety of reasons. Typically, they are employed to draw in investors or submit an application for a better bank loan. Since obtaining a substa...Discuss·1 likefinance
Vueliticsvuelitics.hashnode.dev·Jul 29, 2024Understanding the Difference Between Descriptive Analytics and Predictive AnalyticsDifference Between Descriptive Analytics and Predictive Analytics In the world of data analytics, understanding the nuances of different types of analytics is crucial for businesses seeking to harness data for better decision-making. Among the variou...DiscussHistorical Data Analysis
Ahmad W Khanblog.ahmadwkhan.com·Jul 18, 2024Time Series Analysis using PythonTime series analysis is an essential tool in the arsenal of a data scientist, enabling them to analyze and forecast data points collected over time. This comprehensive guide dives deep into advanced techniques, tools, libraries, and methodologies for...Discuss·32 readstime series
Martyna SlawinskaforMindsDB Blogmindsdb.com·Apr 26, 2024How to pick the best-performing time-series AI model for your specific datahttps://www.youtube.com/watch?v=fEmQsxFIoLc&ab_channel=MindsDB In the world of data and artificial intelligence, understanding how things change over time is crucial. Time-series models leverage historical data to make forecasts about the future, m...Discuss·2.7K readsTimeGPT
Martyna SlawinskaforMindsDB Blogmindsdb.com·Mar 21, 2024How to Forecast Air Temperatures with AI + IoT Sensor DataWe all grasp the concept of forecasting. But when forecasting involves machine learning, it means applying serious compute power to vast quantities of data, then using AI to predict future values. Time-series AI models specialize in making forecasts....Discuss·734 readsforecasting
Sumit Mondalsumit007.hashnode.dev·Dec 3, 2023Unleashing the Power of AWS Machine Learning: A Forecasting AdventureIntroduction: In the vast realm of cloud computing, Amazon Web Services (AWS) stands as a titan, offering a plethora of services that empower businesses to innovate and scale seamlessly. Among the many gems in the AWS arsenal, the machine learning (M...DiscussAWS - Theoryforecasting
Carlos Armando Marcano Vargascarlosmv.hashnode.dev·Jun 17, 2023Optimize Your Sales Forecasts with These ML AlgorithmsSales forecasting is the process of predicting future sales. This is an important task for businesses, as it allows them to make informed decisions about inventory, pricing, and marketing. There are a number of machine learning algorithms that can be...Discuss·67 readsMachine Learning
CodeChef-VITforCodeChef-VITblogs.codechefvit.com·Feb 8, 2021Stock market forecasting using the ARIMA modelThe autoregressive integrated moving average (ARIMA) models have been explored for time series prediction for a significant amount of time now, in the scope of this blog, let us see how they can be used for stock market forecasting. “Stock price pre...DiscussMachine Learning
