iampawansingh

efficient_ml

datasharing

The Leek group guide to data sharing

Active_Learning_in_NLP

FSDL 2021 course project - Active Learning in NLP

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

airline_fleets

A neo4j database of airline fleets.

batch-import

generic csv file neo4j batch importer

Classification

consumer_complaints

All information related to the LOAD CSV meetup / webinar.

countdown

jQuery Countdown Plugin

coursera4

iampawansingh/efficient_ml

iampawansingh/landmark_detection

Udacity deep learning nano degree landmark detection project

iampawansingh/Active_Learning_in_NLP

FSDL 2021 course project - Active Learning in NLP

iampawansingh/janestreet

Code for Kaggle Competition: Jane Street-on financial forecasting

iampawansingh/pytorch-Deep-Learning

Deep Learning (with PyTorch)

iampawansingh/univariate-linear-regression

Example data science project used in Datacamp's Unit Testing for Data Science in Python course

iampawansingh/coursera4

iampawansingh/idao_data_broom

Code for IDAO competition

iampawansingh/depi

iampawansingh/stats

Multiple python notebooks, explaining various statistical concepts

iampawansingh/gpytorch

An implementation of Gaussian Processes in Pytorch

iampawansingh/forecast

forecast package for R

iampawansingh/CS231n

Repository contains ipython notebook which talks about everything described in the class, including assignments

iampawansingh/keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

iampawansingh/tsfresh

Automatic extraction of relevant features from time series:

iampawansingh/Rdatasets

An archive of datasets distributed with R

iampawansingh/sklearn_pipeline_demo

Jupyter Notebook to demonstrate the power of sklearn pipeline class and how to effectively use it

iampawansingh/prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

iampawansingh/lopq

Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.

iampawansingh/tensorflow-lstm-regression

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

iampawansingh/ds_workshop_hands-on

Jupyter Notebook and related data for Data Science Workshop conducted

iampawansingh/Classification

iampawansingh/aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

iampawansingh/machinelearningnotes

Notes for the courses in the Machine Learning Specialization created by the University of Washingtion on Coursera

iampawansingh/optsum

Data For Optsum and iptyhon notebook for demo

iampawansingh/grading

iampawansingh/pycon-pandas-tutorial

PyCon 2015 Pandas tutorial materials

iampawansingh/django-registration

django-registration (redux) now with Django 1.6/1.7/1.8 & Python 3 support

iampawansingh/countdown

jQuery Countdown Plugin

iampawansingh/Google-Search-API

Python based api for searching google web, images, calc, and currency conversion.