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Vatsal
Vatsal

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Published in

Towards Data Science

·Pinned

Recommendation Systems Explained

Explaining & Implementing Content Based, Collaborative Filtering & Hybrid Recommendation Systems in Python — Table of Contents What is a Recommendation System What Defines a Good Recommendation - K Fold Cross Validation - MSE - RMSD Data - Requirements - Code Collaborative Filtering Recommendation System - Intuition - Advantages - Disadvantages - Example - Implementation Content Based Recommendation System - Intuition - Advantages - Disadvantages - Example - Implementation…

Machine Learning

12 min read

Recommendation Systems Explained
Recommendation Systems Explained
Machine Learning

12 min read


Published in

Towards Data Science

·Pinned

Word2Vec Explained

Explaining the Intuition of Word2Vec & Implementing it in Python — Table of Contents Introduction What is a Word Embedding? Word2Vec Architecture - CBOW (Continuous Bag of Words) Model - Continuous Skip-Gram Model Implementation - Data - Requirements - Import Data - Preprocess Data - Embed - PCA on Embeddings Concluding Remarks Resources Introduction Word2Vec is a recent breakthrough in the world…

Data Science

8 min read

Word2Vec Explained
Word2Vec Explained
Data Science

8 min read


Published in

Towards Data Science

·Pinned

Bayesian A/B Testing Explained

Explaining Bayesian A/B Testing with Python Implementation — There are many applications of A/B testing across various industries. From trying to identify optimal market groups to target to medical drug testing, it has various applications and allows businesses to make decisions based on the results. There are two common ways to approach A/B testing, the frequentist approach and…

Data Science

6 min read

Bayesian A/B Testing Explained
Bayesian A/B Testing Explained
Data Science

6 min read


Published in

Towards Data Science

·Pinned

Monte Carlo Method Explained

Understand the Monte Carlo method and how to implement it in Python — In this post, I will introduce, explain and implement the Monte Carlo method to you. This method of simulation is one of my favourites because of its simplicity and yet it’s a refined method to resolve complex problems. It was invented by Stanislaw Ulam, a Polish mathematician in the 1940s…

Statistics

5 min read

Monte Carlo Method Explained
Monte Carlo Method Explained
Statistics

5 min read


Feb 28

Anomaly Detection for Data Quality in Python

Anomaly Detection using Machine Learning — Anomaly detection is a critical technique in modern data science and machine learning. By identifying patterns in data that deviate significantly from expected behaviour, anomaly detection can help detect fraud, prevent equipment failures, and more. Anomaly detection is used in a wide range of applications, from finance and cybersecurity to…

Data Science

11 min read

Anomaly Detection for Data Quality in Python
Anomaly Detection for Data Quality in Python
Data Science

11 min read


Published in

Towards Data Science

·Jan 31

Supervised & Unsupervised Approach to Topic Modelling in Python

Build a Topic Modelling Pipeline from Scratch in Python — This article will provide a high level intuition behind topic modelling and its associated applications. It will do a deep dive into various ways one can approach solving a problem which requires topic modelling and how you can solve those problems in both a supervised and unsupervised manner. I placed…

Data Science

11 min read

Supervised & Unsupervised Approach to Topic Modelling in Python
Supervised & Unsupervised Approach to Topic Modelling in Python
Data Science

11 min read


Published in

Towards Data Science

·Nov 7, 2022

Graph Embeddings Explained

Overview and Python Implementation of Node, Edge and Graph Embedding Methods — There has been a rise in graph based machine learning in recent years. Graph based approaches have applications in a variety of common problems in data science like link prediction, community detection, node classification, etc. Depending on how you structure your problem and the data you have available, there are…

Data Science

7 min read

Graph Embeddings Explained
Graph Embeddings Explained
Data Science

7 min read


Published in

Towards Data Science

·Nov 3, 2022

Feature Importance in Machine Learning, Explained

Identify important features associated with models in Python using SHAP and Sci-Kit Learn — This article will focus on providing the intuition and Python implementation associated with the various ways to identify important features associated to machine learning models. The following is the structure of the article. Table of Contents What is Feature Importance in Machine Learning? Coefficient Based Feature Importance

Data Science

5 min read

Feature Importance in Machine Learning, Explained
Feature Importance in Machine Learning, Explained
Data Science

5 min read


Published in

Towards Data Science

·Oct 24, 2022

Calculating Data Drift in Machine Learning using Python

Drift Detection for Machine Learning Models — This article will aim to provide the intuition and implementation associated with data drift in Python. It will cover the implementation and differences between two approaches to calculating drift namely, cross entropy and KL divergence. The following is the outline of this article. Table of Contents What is Data Drift? Drift Metrics - Cross…

Data Science

8 min read

Calculating Data Drift in Machine Learning using Python
Calculating Data Drift in Machine Learning using Python
Data Science

8 min read


Published in

Towards AI

·Jul 11, 2022

Download Books in the Public Domain W/ Python

A Guide on Scraping Project Gutenberg — This article will provide a comprehensive guide on scraping open source book data from project Gutenberg. These book files would be useful to anyone who wants to do a cool project in NLP, like book summarization, translation, classification, recommendation, etc. The following is the structure for this article: Disclaimer: This…

Python

4 min read

Download Books in the Public Domain W/ Python
Download Books in the Public Domain W/ Python
Python

4 min read

Vatsal

Vatsal

1K Followers

Machine Learning Engineer https://www.linkedin.com/in/vatsal-p-a57978149/

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