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Name: Awaldeep Singh
Type: User
Company: Data Scientist @ EY
Bio: Data Science | Python
Location: India
Name: Awaldeep Singh
Type: User
Company: Data Scientist @ EY
Bio: Data Science | Python
Location: India
Given the transactions data ,we have to find the anomalous transactions
The objective is to understand trends in each APMC and commodity in the given dataset. More to follow...
Given a article, generate its summary, leveraging NLP
Using data from internet, did data augmentation to increase the data set then used transfer learning VGG16 Model using Keras, CNNs and got accuracy of 98%.
Awaldeep Singh Data Science Portfolio
Azure DP-100 certification resources
Python implementation of blackjack cards game (Object Oriented Code)
Did data augmentation to increase the data, used vgg-16 model to classify images. It was a multiclass classification problem with 11 classes.
Regression problem where we have to predict prices of cars given some of the features.
A text classifier that does sentiment analysis
Training a CNN on CIFAR10 dataset.
Data and code behind the articles and graphics at FiveThirtyEight
Data fetched from firestore database and used in visualisation using d3.js library of javascript.
This repository contains the code that is used often, when working with deep learning. Various libraries and code snippets will be added
Scraping all device specs from gsmarena using BeautifulSoup
An intent classifier which can classifies a query into one of the 21 given intents.
Implementation of k_means clustering algorithm on a dataset from scratch as well as via numpy
useful notebooks created on kaggle
Simple Classification problem, to classify whether a user would like a smartphone or not. I've implemented two simple models-MP neuron and simple perceptron.
Linear regression model implemented from scratch and via sklearn on a dataset with proper EDA and feature engineering
Implementation of various machine learning algorithms from scratch via numpy and also by sklearn.
MNIST handwritten digits recognition with logistic regression (code from scratch)
My own implementation for training my own neural network( MNIST dataset ).
A news recommender system that recommends news articles to users based on their interests. I have used facebook's pre trained model of word2vec.
Some useful code snippets-pyspark/hadoop
Basic concepts and usage of python libraries.
This material/code was used to explain concepts during python workshop by me ,held from 26th feb to 4th mar 2019. The workshop was organised by CSI,students chapter,GNDEC .
using opencv and tesseract-ocr
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.