Sanchit Aggarwal SanchitAggarwal

SanchitAggarwal / setup.txt

Last active March 15, 2019 09:41

Data Science System Setup Python 3

	sudo apt-get update
	sudo apt install python-pip
	python3 --version
	sudo apt-get install -y python3-pip
	sudo apt-get install build-essential libssl-dev libffi-dev python-dev



	# For virtual Environment
	sudo apt-get install -y python3-ven

SanchitAggarwal / keras_weighted_categorical_crossentropy.py

Created July 27, 2018 09:31 — forked from wassname/keras_weighted_categorical_crossentropy.py

Keras weighted categorical_crossentropy

	"""
	A weighted version of categorical_crossentropy for keras (2.0.6). This lets you apply a weight to unbalanced classes.
	@url: https://gist.github.com/wassname/ce364fddfc8a025bfab4348cf5de852d
	@author: wassname
	"""
	from keras import backend as K
	def weighted_categorical_crossentropy(weights):
	"""
	A weighted version of keras.objectives.categorical_crossentropy

SanchitAggarwal / BaseTrainingPipeline

Created July 19, 2018 09:18

	class BaseTrainingPipeline():

	def load_data(self, filepath, task_id):
	"""
	Method to load training data
	:return: Loaded dataframe
	"""

	def form_training_dataset(self, raw_df, task_id):
	"""

SanchitAggarwal / screenrecord.sh

Created November 10, 2017 10:21 — forked from PaulKinlan/getdeviceart.sh

Screen Record for Android

SanchitAggarwal / howto.md

Created September 5, 2017 11:46 — forked from persiyanov/howto.md

How-to get Amazon EC2 instance and do machine learning on it. Jupyter 4.0.6 server and Python 2.7.

Goal

Want to move computation on machine with much power. We will set up Anaconda 4.0.0 and XGBoost 0.4 (it is tricky installable).

SanchitAggarwal / xor_keras.py

Created March 23, 2017 18:14 — forked from cburgdorf/xor_keras.py

Comparing XOR between tensorflow and keras

	import numpy as np
	from keras.models import Sequential
	from keras.layers.core import Activation, Dense

	training_data = np.array([[0,0],[0,1],[1,0],[1,1]], "float32")
	target_data = np.array([[0],[1],[1],[0]], "float32")

	model = Sequential()
	model.add(Dense(32, input_dim=2, activation='relu'))
	model.add(Dense(1, activation='sigmoid'))

SanchitAggarwal / form.js

Created November 16, 2013 22:55 — forked from dhcole/form.js

	$(function(){

	var formUrl = '/* ex: https://docs.google.com/a/developmentseed.org/spreadsheet/formResponse?formkey=... */';

	// Set up map
	var m = mapbox.map('map').addLayer(mapbox.layer().id(' /* mapbox-account.id */ '));

	// Set up map ui features with point selector
	var ui = mapbox.ui().map(m).auto().pointselector(function(d) {
	// Remove all points except the most recent