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MACHINE LEARNING

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Variance Thresholding in Pyhton for feature selection

October 28, 2019 Mitra N Mishra 7865

variance thresholding It supposes that features with low variance contain less information. By default, it removes all zero variance features. Practically implementation in Python with [continue reading..]

Machine learning classification

March 8, 2018 Mitra N Mishra 3828

Introduction Supervised machine learning has two types: 1) Regression,  2) Classification In regression, we already saw that it deals with the continuous data type that [continue reading..]

Common machine learning algorithms for beginners

February 23, 2018 Mitra N Mishra 11582

Introduction Machine learning is one of the hottest trendings in tech industries today.  Machine learning is very powerful to make prediction or recommendations based on huge [continue reading..]

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Artificial Neural Network( The basic idea behind machine’s brain)

February 5, 2018 Mitra N Mishra 8151

“Machine learning involves in adaptive mechanisms that enable computers to learn from experience, learn by examples and learn by analogy. Learning capabilities can improve the [continue reading..]

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Optimization through Gradient Descent

November 8, 2017 Mitra N Mishra 4652

Optimization refers to the task of either maximizing or minimizing some function f(x) by altering x. The function we want to minimize or maximize is [continue reading..]

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Linear Regression from scratch

September 7, 2017 Mitra N Mishra 9874

[table id=1 /] These all questions implies the answer would be quantitative or continuous in nature. Linear regression is the fundamental topic for the predicting [continue reading..]

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An introduction to machine learning algorithms

September 7, 2017 Mitra N Mishra 3637

I was very confused when i started machine learning because i hadn’t idea where to start,which algorithm should be learn,how to classify the algorithm on [continue reading..]

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Regularization in Machine Learning

September 6, 2017 Mitra N Mishra 7550

Regularization is a collection of techniques that can be used to prevent over-fitting(It could be memorizes relations and structures that are noise and coincidence). Regularization [continue reading..]

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Machine Learning Introduction

August 23, 2017 Mitra N Mishra 329

Introduction In today world you can’t be escaped the headlines, reports, whitepapers and even television coverage on the rise of Big data, Data Science and [continue reading..]

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