Random Forest Implementation in Python: Supervised Learning Ensemble Technique
Since DataIntel offers DAaaS & SSaS to its clients – here I am sharing a snippet of our work. This is a broad generic theme about implementing Random Forest Ensemble Technique. For every situation code may vary but the ...
Modelling Risks in Machine Learning – A Case for Dirichlet Distribution for Better Modelling on Training Dataset
In the previous part we talked about Training, Validation, and Testing dataset and how to define problem using your dataset. In that process we talked about couple of techniques, high level though, in order to identify what entails in your ...
Define The Problem by Understanding The Data Set – Part III
In the previous part we talked about dataset and how to define problem using your dataset. In that process we talked about couple of techniques, high level though, in order to identify what entails in your dataset. More so, how ...
Define The Problem by Understanding The Data Set – Part II
In the previous part we talked about dataset and how to define problem using your dataset. In that process we talked about couple of techniques, high level though, in order to identify what entails in your dataset. More so, how ...
Define The Problem by Understanding The Data Set – Part I
Every new dataset comes with new challenge for data scientist, what is lying there is unknown. Going down the road, data scientists face new unknowns in attributes, labels, types, mixed information, cluttered unsorted data, disconnected data points, missing values etc. ...
What is Machine Learning?
Machine learning: Very technical layer of DataIntel’s workspace, data-intensive, part of data science and closely related to data mining. Machine learning is about designing algorithms (like data mining), but emphasis is on prototyping algorithms for production mode, and designing automated systems (bidding ...
DataIntel’s Predictive Modeling
DataIntel’s core strength area. Predictive modeling projects occur in all industries across all disciplines. Predictive modeling applications aim at predicting future based on past data, usually but not always based on statistical modeling. Predictions often come with confidence intervals. Roots ...
Your Data is your wealth, it is the most overlooked asset that your have !
—Rakesh Sharma
What is Data Mining
DataIntel’s expertise in this working layer is about designing algorithms to extract insights from rather large and potentially unstructured data (text mining), sometimes called nugget discovery, for instance unearthing a massive Botnets after looking at 50 million rows of data. ...
Exploratory Analytics
Exploratory analytics looks to discover signals and nonobvious relationships or patterns among broader data sets to uncover new insights that can positively impact decision making and organizational performance. Once discovered and validated, newly discovered signals are operationalized to improve operational ...