How to deal with missing data
Originally posted by Vincent Ajayi. The most common challenge faced by data scientists (DS) and data analysts (DA) is missing data. Every day, both DA… Read More »How to deal with missing data
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An elegant way to represent forward propagation and back propagation in a neural network
Sometimes, you see a diagram and it gives you an ‘aha ha’ moment Here is one representing forward propagation and back propagation in a neural… Read More »An elegant way to represent forward propagation and back propagation in a neural network
Best Machine Learning Tools to Modernize your Software Development
In the current scenario, when developers get immersed in the discussion about making use of machine learning, they are limited to creating AI-powered applications and… Read More »Best Machine Learning Tools to Modernize your Software Development
US Arrests: Hierarchical Clustering using DIANA and AGNES
Introduction Data Science and Machine Learning are furtive, they go un-noticed but are present in all ways possible and everywhere. They contribute significantly in all… Read More »US Arrests: Hierarchical Clustering using DIANA and AGNES
Boosting Trading Models with Sagemaker and Essentia
Building accurate models takes a great deal of time, resources, and technical ability. The biggest challenge? You almost never know what model or feature combination… Read More »Boosting Trading Models with Sagemaker and Essentia
Comparing Model Evaluation Techniques Part 3: Regression Models
In my previous posts, I compared model evaluation techniques using Statistical Tools & Tests and commonly used Classification and Clustering evaluation techniques In this post,… Read More »Comparing Model Evaluation Techniques Part 3: Regression Models
The missing link for IoT – the Cloud
Introduction IoT (Internet of Things) has not quite taken off yet as envisaged – Will the cloud overcome the shortcomings of IoT? I believe… Read More »The missing link for IoT – the Cloud
First steps with leading data visualization programs.
Article was originally published on author’s blog, here. Learning to use data visualization programs Imagine spending countless hours analyzing your data and finding a meaningful… Read More »First steps with leading data visualization programs.
Logisitic Regression
Logistic Regression is a statistical approach which is used for the classification problems. In statistics, the logistic model (or logit model) is used to model… Read More »Logisitic Regression
Statistical Hypothesis Testing – Spinning The Wheel
Knowing when and how to choose the right statistical hypothesis test is no mean feat. It can takes years of learning and practice before you… Read More »Statistical Hypothesis Testing – Spinning The Wheel