Sanjay Chouhan

Pinned

Word2Vec — Analogical Reasoning

Mathematical Proof of Analogical Reasoning in Word2Vec Embedding — Word2Vec was once state-of-the-art (in the pre-transformer era) technique to get word embeddings. And you can find numerous blogs about it. Therefore, I won’t discuss what Word2Vec is or how it works. Instead, I will focus on demonstrating one interesting property of Word2Vec embeddings. You may have heard that Word2Vec…

NLP

3 min read

NLP

3 min read

Pinned

Compute the Match Percentage of a Candidate for a Job role

Given a Job description we need to calculate the Match percentage of all the submitted Resumes. — This will be a End-to-End Machine Learning project. That means we will go from raw data to deployment of the best model. This blog is summary of the whole process. You can view the github repo to get more detailed explanations, GitHub - scsanjay/jd_resume_match_percentage You can't perform that action at this time. You signed in with another tab or window. You signed out in another tab or…github.com

Machine Learning

18 min read

Compute the Match Percentage of a Candidate for a Job role

Machine Learning

18 min read

Pinned

Manhattan Taxi Demand Prediction

Time Series Forecasting to predict the demand for yellow taxis in one of the busiest boroughs of NYC. — Please check out the codes on Github, case-studies/03. Taxi Demand Prediction at main · scsanjay/case-studies Contribute to scsanjay/case-studies development by creating an account on GitHub.github.com Try https://nbviewer.org/ if you are not able to load the notebook on Github. Table of contents

Machine Learning

11 min read

Machine Learning

11 min read

Published in

Towards Data Science

·Pinned

Hot dog or Not Hot dog

Trying out well-known CNN models with Tensorflow 2 to help Jian Yang — Introduction Have you watched the “Silicon Valley” comedy series of HBO? If so, I bet you remember the Not Hotdog app that Jian Yang developed. Here is a clip to refresh your memory. So basically this app identifies whether something is Hot dog or not. …

Machine Learning

7 min read

Machine Learning

7 min read

Published in

Towards Data Science

·Pinned

The Quora Question Pair Similarity Problem

A beginner’s journey through the various life cycles of a problem on Kaggle. — This is my first case study, so you can expect a beginner-friendly data analysis and model building. I have used only the classical machine learning models for this problem. However, working on this case study was a great learning experience for me. …

Machine Learning

11 min read

The Quora Question Pair Similarity Problem

Machine Learning

11 min read

Published in

MLearning.ai

·Jun 8, 2021

Central Limit Theorem aka CLT

Central Limit Theorem also known as CLT is a very popular and powerful theorem. And in this blog, you will understand it thoroughly and be able to appreciate its beauty. CLT states that if you have a distribution with a mean μ and variance σ², and take m number of…

Data Science

4 min read

Data Science

4 min read

Nov 19, 2020

Scikit-learn Train Test Split — random_state and shuffle

The random_state and shuffle are very confusing parameters. Here we will see what’s their purposes. First let’s import the modules with the below codes and create x, y arrays of integers from 0 to 9. import numpy as np from sklearn.model_selection import train_test_split x=np.arange(10) y=np.arange(10) print(x) [0 1 2 3…

Machine Learning

2 min read

Machine Learning

2 min read