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Data Science Foundation Whitepapers

The whitepapers published on this site have been written by members of the Data Science Foundation and are open to peer review by other members.

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CATEGORY: Machine Learning

Data Analysis with Pandas

A DSF Whitepaper
15 February 2021
Mayank Tripathi
Views (29)

Looking a way to understand your data set quickly and easily, then use Pandas methods and attributes which we will walk through in this article with example on a data set. Read More

DEEP LEARNING: FIGHTING COVID-19 WITH NEURAL NETWORKS

A DSF Whitepaper
31 January 2021
Balakrishnan Subramanian
Views (123)

Deep learning is a part of AI which was founded on artificial neural organizations, as neural organization will reflect the human thoughts. Deep learning which a subset of Machine Learning is is making revolutions in each field it comes into play. It decreases the human work and accomplishes the work precisely than people do. It emulates the human Brain with artificial neural organizations and dom Read More

Knowing all about Outliers in Machine Learning

A DSF Whitepaper
16 June 2020
Mayank Tripathi
Views (6272)
Comments (1)

While working on various dataset to train a Machine Learning model. What is it, that you look for? What is the most important part of the EDA phase? There are certain things which, if they are not done in the EDA phase, can affect further statistical / Machine Learning modelling. One of the answers is to, find “Outliers”. Read More

Underfitting and Overfitting in Machine Learning

A DSF Whitepaper
13 June 2020
Mayank Tripathi
Views (10586)
Comments (1)

Machine learning developers often encounter models that perform well on a data set, but dont live up to expectations when used on unseen or test data. This problem is called Overfitting. If you would like to learn more about Overfitting and how to avoid it, read on. Read More

Understanding Decision Trees with Python

A DSF Whitepaper
16 May 2020
Mayank Tripathi
Views (6583)
Comments (1)

Decision Trees, the popular and time-tested method of applying logic to complex problems, where the variables are many and the options specific and dependent, have an important role to play within Machine Learning. We will dedicate this paper to understanding why this reasonably humble technique has become such an important tool for data scientists. Read More

Understanding Linear Regression with Python: Practical Guide 2

A DSF Whitepaper
22 April 2020
Mayank Tripathi
Views (2712)
Comments (2)

Do you remember those afternoons in school or college when the professor was trying to teach you about things you never thought you would use in adult life? I bet regression and statistical algorithms are on that list. Well, it turns out that, with the realization of the importance of extracting knowledge from data, these techniques play an important role in Machine Learning and Data Science. Read More

Understanding Logistic Regression with Python: Practical Guide 1

A DSF Whitepaper
18 April 2020
Mayank Tripathi
Views (7409)

Kick-start your Machine Learning journey by gaining an understanding of the fundamentals of Logistic Regression. Here we explain what Logistic Regression is and give two practical examples of how to build a machine learning model using Python Read More

Python for Data Analysis

A DSF Whitepaper
01 April 2020
Mayank Tripathi
Views (819)
Comments (3)

A practical guide to getting started with Python for Data Analysis with examples of code and easy to access libraries Read More

SQL for Data Science

A DSF Whitepaper
26 March 2020
Mayank Tripathi
Views (1290)
Comments (3)

Learn the significance of SQL in Data-Science and Machine Learning. And understanding the basics of SQL. Read More

Hands-On with your First ML Model

A DSF Whitepaper
25 March 2020
Mayank Tripathi
Views (364)
Comments (3)

Thinking about using a Machine Learning model? Get your hands dirty with a practical lesson on SKLEARN. Read More

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The whitepapers published on this site have been written by members of the Data Science Foundation and are open to peer review by other members.

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