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anomaly-detection

Given the transactions data ,we have to find the anomalous transactions

apmc-trends

The objective is to understand trends in each APMC and commodity in the given dataset. More to follow...

article-summary-extraction-nlp

Given a article, generate its summary, leveraging NLP

athletejerseydetection

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.github.io

Awaldeep Singh Data Science Portfolio

azureml

Azure DP-100 certification resources

blackjack-game

Python implementation of blackjack cards game (Object Oriented Code)

bugs-detection

Did data augmentation to increase the data, used vgg-16 model to classify images. It was a multiclass classification problem with 11 classes.

carpriceprediction

Regression problem where we have to predict prices of cars given some of the features.

classifier

A text classifier that does sentiment analysis

cnn

Training a CNN on CIFAR10 dataset.

data

Data and code behind the articles and graphics at FiveThirtyEight

data-visualisation

Data fetched from firestore database and used in visualisation using d3.js library of javascript.

data_science_int

deeplearningpractice

This repository contains the code that is used often, when working with deep learning. Various libraries and code snippets will be added

gsmarenascraping

Scraping all device specs from gsmarena using BeautifulSoup

indiansignboard-translation

intent_classification

An intent classifier which can classifies a query into one of the 21 given intents.

k_means_clustering

Implementation of k_means clustering algorithm on a dataset from scratch as well as via numpy

kagglecode

useful notebooks created on kaggle

likeunlikeclassification

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.

linearregressionmodel

Linear regression model implemented from scratch and via sklearn on a dataset with proper EDA and feature engineering

ml-algorithms-implementation

Implementation of various machine learning algorithms from scratch via numpy and also by sklearn.

mnist-digit-recognition

MNIST handwritten digits recognition with logistic regression (code from scratch)

neuralnetworkfromscratch

My own implementation for training my own neural network( MNIST dataset ).

newsrecommender

A news recommender system that recommends news articles to users based on their interests. I have used facebook's pre trained model of word2vec.

pyspark-snippets

Some useful code snippets-pyspark/hadoop

python-practice

Basic concepts and usage of python libraries.

pythonworkshop

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 .

scrapping_text

using opencv and tesseract-ocr