Data preparation is a big part of applied machine learning. Correctly preparing your training data can mean the difference between…
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How Entrepreneurs Can Utilize Analytics Effectively
If we could see the future when it comes to our entrepreneurial efforts, many of us would take the chance…
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Continue ReadingComprehensive Guide to Text Summarization using Deep Learning in Python
Introduction to Sequence-to-Sequence (Seq2Seq) Modeling We can build a Seq2Seq model on any problem which involves sequential information. This…
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If former is the case, we need to filter variables on the basis of their prediction power or influence on…
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How to Calibrate Undersampled Model ScoresImbalanced data problems in binary prediction models and a simple but effective way to take care…
Continue ReadingPredicting Kickstarter Campaign Success with Gradient Boosted Decision Trees: A Machine Learning Classification Problem
Predicting Kickstarter Campaign Success with Gradient Boosted Decision Trees: A Machine Learning Classification ProblemRiley PredumBlockedUnblockFollowFollowingFeb 2I was surfing data. world…
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'. format(*[len(c) for c in counts]))print('Constant features: ', counts[0])print()print('Categorical features: ', counts[2])Figure 6There were 12 features in which only contain…
Continue ReadingImplementation of Multi-Variate Linear Regression in Python using Gradient Descent Optimization from scratch
In other words, the minima of the Cost Function have to be found out.Batch Gradient Descent can be used as…
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The training phase we iterate through the tokens in the corpus (the target word) and look at a window of…
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