Open in app
Sign inGet started
Logistic Regression: Union between Regression and Classification

Logistic Regression: Union between Regression and Classification

Go to the profile of Akash Desarda
Akash Desarda
Linear Regression: Can a simple line do the trick?

Linear Regression: Can a simple line do the trick?

Go to the profile of Akash Desarda
Akash Desarda
Introduction to Time Series Analysis

Introduction to Time Series Analysis

Hi folks,Thanks a lot for reading my blog posts and motivating me for writing.You can read all my blogs Here.
Go to the profile of Srishti Sawla
Srishti Sawla
A Beginners Application of Python with Bit(s) of Git++

A Beginners Application of Python with Bit(s) of Git++

Go to the profile of Sonik Mishra
Sonik Mishra
Non-technical skills needed as a data scientist & how can he become effective Communicator

Non-technical skills needed as a data scientist & how can he become effective Communicator

Go to the profile of Saurabh Sahu
Saurabh Sahu
Some Facts about Stats!

Some Facts about Stats!

Go to the profile of Rushabh Mehta
Rushabh Mehta

PYTHON AND ITS VARIOUS LIBRARIES

Go to the profile of aniket jagtap
aniket jagtap
Introduction to Natural Language Processing

Introduction to Natural Language Processing

What is Natural Language processing ?
Go to the profile of Srishti Sawla
Srishti Sawla
Why I preferred Python Language for Data Science and Machine Learning, Part-1.

Why I preferred Python Language for Data Science and Machine Learning, Part-1.

Being in the field of Data Science and building models in Machine learning I need to develop my skill, it may be for data gathering, data…
Go to the profile of Anup Bhande
Anup Bhande
Inferential Statistics 101 — part 9

Inferential Statistics 101 — part 9

ANOVA (ANalysis Of VAriance)
Go to the profile of Shweta Doshi
Shweta Doshi
Inferential Statistics 101 — part 8

Inferential Statistics 101 — part 8

Regression
Go to the profile of Shweta Doshi
Shweta Doshi
Inferential Statistics 101 — part 7

Inferential Statistics 101 — part 7

Different types of t-test
Go to the profile of Shweta Doshi
Shweta Doshi
Inferential Statistics 101 — part 6

Inferential Statistics 101 — part 6

Correlation and Covariance
Go to the profile of Shweta Doshi
Shweta Doshi
Learning POS Tagging & Chunking in NLP

Learning POS Tagging & Chunking in NLP

This post will explain you on the Part of Speech (POS) tagging and chunking process in NLP using NLTK.
Go to the profile of Jocelyn D'Souza
Jocelyn D'Souza
An Introduction to Bag-of-Words in NLP

An Introduction to Bag-of-Words in NLP

This post will take you into a deeper dive into Natural Language Processing. Before you move on, make sure you have your basic concepts…
Go to the profile of Jocelyn D'Souza
Jocelyn D'Souza
Inferential Statistics 101 — part 5

Inferential Statistics 101 — part 5

Confidence Interval
Go to the profile of Shweta Doshi
Shweta Doshi
Inferential Statistics 101 — part 4

Inferential Statistics 101 — part 4

Types of Errors in Hypothesis Testing
Go to the profile of Shweta Doshi
Shweta Doshi
Inferential Statistics 101 -part 3

Inferential Statistics 101 -part 3

Hypothesis Testing
Go to the profile of Shweta Doshi
Shweta Doshi
Inferential Statistics 101 -part 2

Inferential Statistics 101 -part 2

Normal Distribution
Go to the profile of Shweta Doshi
Shweta Doshi
Inferential Statistics 101 — part 1

Inferential Statistics 101 — part 1

Sampling distribution of sample mean and Central limit theorem
Go to the profile of Shweta Doshi
Shweta Doshi
A dive into Natural Language Processing

A dive into Natural Language Processing

This post will take you a beginner's guide to Natural Language Processing. A language is a way we humans, communicate with each other. Each…
Go to the profile of Jocelyn D'Souza
Jocelyn D'Souza
A Quick Guide to Boosting in ML

A Quick Guide to Boosting in ML

This post will guide you through an ensemble method known as Boosting. The main idea of boosting is to modify a weak learner to become…
Go to the profile of Jocelyn D'Souza
Jocelyn D'Souza
A Trip to Random Forest…

A Trip to Random Forest…

Welcoming you to a beginner’s guide to the random forest. :)
Go to the profile of Jocelyn D'Souza
Jocelyn D'Souza
Introducing Ensemble: More is better than One!

Introducing Ensemble: More is better than One!

This post will guide you through the basics of ensemble methods in Machine Learning.
Go to the profile of Jocelyn D'Souza
Jocelyn D'Souza
Let’s learn about AUC ROC Curve!

Let’s learn about AUC ROC Curve!

In this post, I will go through the AUC ROC curve and explain how it evaluates your model’s performance. Highly suggest you go through the…
Go to the profile of Jocelyn D'Souza
Jocelyn D'Souza
About GreyAtomLatest StoriesArchiveAbout MediumTermsPrivacyTeams