adimyth

lstm = model.layers[2]

# Get output from intermediate layer to visualize activations
attn_func = K.function(inputs = [model.get_input_at(0), K.learning_phase()],
           outputs = [lstm.output]
          )

adimyth

# Copyright 2017 The TensorFlow Authors All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,

adimyth

Setup

Airtel Dongle

• https://softwareguidehelp.wordpress.com/2017/11/05/how-to-install-airtel-4g-in-ubuntu/

Arya Setup

1. Install Docker (version latest)

   • https://docs.docker.com/engine/install/ubuntu/

2. Install NVIDIA Drivers (version _____)

   • https://linuxconfig.org/how-to-install-the-nvidia-drivers-on-ubuntu-20-04-focal-fossa-linux

adimyth

Setup

Airtel Dongle

• https://opentechnics.com/how-to-get-airtel-4g-dongle-to-work-on-linux/

Arya Setup

1. Install Docker
   • https://www.cyberciti.biz/faq/install-use-setup-docker-on-rhel7-centos7-linux/
   • https://docs.docker.com/engine/install/centos/

adimyth

Links to resources for creating Data Science Reports at different stages of the lifecycle.

Data Analysis Report

• http://www.stat.cmu.edu/~brian/701/notes/paper-structure.pdf

Project Analysis Report

• Stanford University's 2014 students final Data Science project reports
• Kaggle Winning Solution Template - For technical audience only

Profling Tools

adimyth

import numpy as np
import pandas as pd
from sklearn.model_selection import StratifiedKFold

df = pd.read_csv(path_to_data)
n_bins = 1+np.log2(df.shape[0])	# Sturge's rule
df["bins"] = pd.cut(df.target, n_bins, labels=False)

n_folds = 5
skf = StratifiedKFold(n_splits=n_folds)

adimyth

from glob import glob

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image

import pytorch_lightning as pl
from pytorch_lightning.callbacks import ModelCheckpoint
from pytorch_lightning.callbacks.early_stopping import EarlyStopping

adimyth

#
# This is the main Apache HTTP server configuration file.  It contains the
# configuration directives that give the server its instructions.
# See <URL:http://httpd.apache.org/docs/2.4/> for detailed information.
# In particular, see
# <URL:http://httpd.apache.org/docs/2.4/mod/directives.html>
# for a discussion of each configuration directive.
#
# Do NOT simply read the instructions in here without understanding
# what they do.  They're here only as hints or reminders.  If you are unsure

adimyth

def is_illegal(input):
    words = input.split(" ")
    for word in words:
        if word in "ENGLISH_WORDS":
            return "ILLEGAL"
        for char in word:
            if char in [" ", "\n", "\t"]:
                return "ILLEGAL"
    return None

adimyth

CREATE TABLE sales (
    sale_date DATE,
    color VARCHAR(10),
    region VARCHAR(10),
    quantity INT,
    revenue DECIMAL(10, 2)
);

INSERT INTO sales VALUES
('2016-01-01', 'Red', 'North', 1, 13.00),