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  • Top 10 Machine Learning Algorithms for Beginners

    A beginner's introduction to the Top 10 Machine Learning (ML) algorithms, complete with figures and examples for easy understanding.

    Source: Kdnugget
    18555
  • 7 Effective Methods for Fitting a Liner

    For a myriad of data scientists, linear regression is the starting point of many statistical modeling and predictive analysis projects. The importance of fitting, both accurately and quickly, a linear model to a large data set cannot be overstated.

    Source: TDS
    18477
  • 5 Reasons "Logistic Regression" should be the first thing you learn when becoming a Data Scientist

    I started my way in the Data Science world a few years back. I was a Software Engineer back then and I started to learn online first (before starting my Master's degree).

    Source: HOB
    12822
  • Understanding the Concept of Logistic Regression in R

    Logistic Algorithms as the name suggest it comes under regression algorithms but with logistics regression the answer which comes is categorical as in the answer is either yes or no, either true or false so it is classified the values of fixed values are categorical the dependent variable the output, this is what we getting like this answers this will also categorize under the classification algorithms.

    Source: HOB
    17607
  • Future Through The Eyes Of Data Science

    Once the Business Intelligence reports and dashboards have been prepared and insights which are extracted from them, this information becomes the basis for predicting future values. And the accuracy of these predictions lies in the methods used.

    Source: HOB
    23361
  • Learning TensorFlow is easy with these online Resources

    While there are many resources available online providing courses for TensorFlow picking a right one is always a difficult and confusing task for learners. To free you on that part, I have come here with the best online resources on TensorFlow that I have personally found useful.

    Source: HOB
    10215
  • In-depth study of Machine Learning Algorithms

    Many of us do not know that there is a proper list of machine learning algorithms. So here in this article, we will see some methods of using these algorithms.

    Source: HOB
    41583
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