Open in app

Sign In

Write

Sign In

Ashutosh Tripathi
Ashutosh Tripathi

312 Followers

Home

About

Mar 29, 2022

A Complete Guide to Decision Tree Formation and Interpretation in Machine Learning

Decision Tree is one of the easiest algorithm to understand and interpret. If you are familiar with if-else statements in programming then that is pretty much all you need to know to understand how decision tree algorithm works. Even if you are not familiar with programming then also if you…

Decision Tree

9 min read

A Complete Guide to Decision Tree Formation and Interpretation in Machine Learning
A Complete Guide to Decision Tree Formation and Interpretation in Machine Learning
Decision Tree

9 min read


Oct 11, 2021

Decision Tree for Regression Models in Machine Learning

Building decision tree for regression problems — Problem Statement A sport hosting company would like to decide to host a cricket match between India and South Africa based on whether data. Weather data that is available has attributes like outlook, temperature, humidity and wind. And has a decision variable how many hours were played. …

Decision Tree Regressor

5 min read

Decision Tree for Regression Models in Machine Learning
Decision Tree for Regression Models in Machine Learning
Decision Tree Regressor

5 min read


Published in Towards Data Science

·Feb 15, 2021

How to deploy Machine Learning models as a Microservice using FastAPI

As of today, FastAPI is the most popular web framework for building microservices with python 3.6+ versions. By deploying machine learning models as microservice-based architecture, we make code components re-usable, highly maintained, ease of testing, and of-course the quick response time. FastAPI is built over ASGI (Asynchronous Server Gateway Interface)…

Machine Learning

6 min read

How to deploy Machine Learning models as a Microservice using FastAPI
How to deploy Machine Learning models as a Microservice using FastAPI
Machine Learning

6 min read


Published in Towards Data Science

·Apr 27, 2020

Named Entity Recognition NER using spaCy | NLP | Part 4

Text Processing using spaCy | NLP Library — Named Entity Recognition is the most important, or I would say, the starting step in Information Retrieval. Information Retrieval is the technique to extract important and useful information from unstructured raw text documents. Named Entity Recognition NER works by locating and identifying the named entities present in unstructured text into…

NLP

6 min read

Named Entity Recognition NER using spaCy | NLP | Part 4
Named Entity Recognition NER using spaCy | NLP | Part 4
NLP

6 min read


Published in Towards Data Science

·Apr 6, 2020

A Quick Guide to Tokenization and Phrase Matching using spaCy | NLP | Part 2

Text Preprocessing steps using spaCy, the NLP library — “ spaCy” is designed specifically for production use. It helps you build applications that process and “understand” large volumes of text. It can be used to build information extraction or natural language understanding systems or to pre-process text for deep learning. …

Naturallanguageprocessing

11 min read

A Quick Guide to Tokenization, Lemmatization, Stop Words, and Phrase Matching using spaCy | NLP |…
A Quick Guide to Tokenization, Lemmatization, Stop Words, and Phrase Matching using spaCy | NLP |…
Naturallanguageprocessing

11 min read


Published in Towards Data Science

·Aug 20, 2019

Bayes’ Theorem with Example for Data Science Professionals

Bayes Theorem is the extension of Conditional probability. Conditional probability helps us to determine the probability of A given B, denoted by P(A|B). So Bayes’ theorem says if we know P(A|B) then we can determine P(B|A), given that P(A) and P(B) are known to us. In this post, I am…

Machine Learning

4 min read

Bayes’ Theorem with Example for Data Science Professionals
Bayes’ Theorem with Example for Data Science Professionals
Machine Learning

4 min read


Published in Towards Data Science

·Aug 15, 2019

Conditional Probability with examples For Data Science

As the name suggests, Conditional Probability is the probability of an event under some given condition. And based on the condition our sample space reduces to the conditional element. For example, find the probability of a person subscribing for the insurance given that he has taken the house loan. …

Machine Learning

7 min read

Conditional Probability with examples For Data Science
Conditional Probability with examples For Data Science
Machine Learning

7 min read


Published in Towards Data Science

·Jul 11, 2019

A Complete Guide to Principal Component Analysis — PCA in Machine Learning

Step by Step Explanation of PCA using python with example — Principal Component Analysis or PCA is a widely used technique for dimensionality reduction of the large data set. Reducing the number of components or features costs some accuracy and on the other hand, it makes the large data set simpler, easy to explore and visualize. Also, it reduces the computational…

Data Science

10 min read

A Complete Guide to Principal Component Analysis — PCA in Machine Learning
A Complete Guide to Principal Component Analysis — PCA in Machine Learning
Data Science

10 min read


Published in Towards Data Science

·Jun 17, 2019

What is Logistic Regression?

Logistic regression is the most widely used machine learning algorithm for classification problems. In its original form, it is used for binary classification problem which has only two classes to predict. However, with little extension and some human brain, logistic regression can easily be used for a multi-class classification problem…

Machine Learning

7 min read

What is Logistic Regression?
What is Logistic Regression?
Machine Learning

7 min read


Jun 16, 2019

What is stepAIC in R?

In R, stepAIC is one of the most commonly used search method for feature selection. We try to keep on minimizing the stepAIC value to come up with the final set of features. “stepAIC” does not necessarily mean to improve the model performance, however, it is used to simplify the…

Machine Learning

3 min read

What is stepAIC in R?
What is stepAIC in R?
Machine Learning

3 min read

Ashutosh Tripathi

Ashutosh Tripathi

312 Followers

Lead Data Scientist. AI Content Creator. Blog: www.ashutoshtripathi.com YouTube: https://www.youtube.com/c/AshutoshTripathi_AI

Following
  • Ramsri Goutham

    Ramsri Goutham

  • Nicolas Vandeput

    Nicolas Vandeput

  • Matteo Courthoud

    Matteo Courthoud

  • George Seif

    George Seif

  • Christopher Wright

    Christopher Wright

Help

Status

Writers

Blog

Careers

Privacy

Terms

About

Text to speech