British Journal of Research Open Access

  • ISSN: 2394-3718
  • Journal h-index: 8
  • Journal CiteScore: 0.52
  • Journal Impact Factor: 0.45
  • Average acceptance to publication time (5-7 days)
  • Average article processing time (30-45 days) Less than 5 volumes 30 days
    8 - 9 volumes 40 days
    10 and more volumes 45 days
Reach us +32 25889658


Guide Way to approach a Machine Learning problem

Mansi Priya

Today, algorithms are like buzz words. Everyone is going for learning different kinds of algorithms – logistic regression, random forests, decision tress, SVMs, Gradient boosting algorithms, neural networks etc.. Everyday new algorithms are being made. But Data Science is not just applying different algorithms to the data. Before applying any algorithm, you must understand your data because that will help you in improving performance of your algorithms later. For any problem one needs to iterate over the same steps- data preparation, model planning, model building and model evaluation, for improving accuracy. If we directly jump to model building, we end up directionless after one iteration. Following are few defined steps per me for approaching any machine learning problem: