vikramsoni2

from zipfile import ZipFile
import os
from os.path import basename

def zip_dir(dirname, zipfilename):
    with ZipFile(zipfilename, 'w') as zipObj:
        # Iterate over all the files in directory
        for folderName, subfolders, filenames in os.walk(dirname):
            for filename in filenames:
                #create complete filepath of file in directory

vikramsoni2

import matplotlib.pyplot as plt


def plot_graphs(history, string):
  plt.plot(history.history[string])
  plt.plot(history.history['val_'+string])
  plt.xlabel("Epochs")
  plt.ylabel(string)
  plt.legend([string, 'val_'+string])
  plt.show()

vikramsoni2

from sklearn.metrics import confusion_matrix, classification_report, precision_score, recall_score, auc

from bokeh.transform import dodge
from bokeh.plotting import figure, ColumnDataSource, output_notebook, show 


output_notebook()


def plot_confustion_matrix(y_true, y_pred, cutoff=0.5, normed=False, classes = ["Negative", "Positive"], colors = ['#fcb471', '#fce3cc', '#ccdaea', '#76a0c9']):

vikramsoni2

# https://keras.io/examples/vision/captcha_ocr/

class CTCLayer(layers.Layer):
    def __init__(self, name=None):
        super().__init__(name=name)
        self.loss_fn = keras.backend.ctc_batch_cost

    def call(self, y_true, y_pred):
        # Compute the training-time loss value and add it
        # to the layer using `self.add_loss()`.

vikramsoni2

vikramsoni2

{
  "basics": {
    "name": "Vikram Soni",
    "label": "Associate Director - AI & Machine Learning | GenAI Platform Architect",
    "picture": "https://avatars.githubusercontent.com/u/7820298?v=4",
    "email": "[email protected]",
    "phone": "+34 616-886-127",
    "website": "http://vsoni.com",
    "summary": "Technology leader with proven expertise in designing enterprise-scale AI solutions that address complex business challenges and deliver measurable outcomes. Established Baxter International's GenAI platform from concept to enterprise-wide implementation, now processing over 1 million conversations, while maintaining a focus on responsible AI practices. Bridging technical innovation with business strategy to identify opportunities where AI can solve complex challenges, guiding organizations through technological transformation with pragmatic approaches that balance cutting-edge capabilities with real-world requirements. Experience spanning classical machine learning algorithms and generative AI

vikramsoni2

import streamlit as st
import requests, re
from bs4 import BeautifulSoup
import urllib.request


URL = st.text_input('URL', '')
download = st.button('DOWNLOAD')

vikramsoni2

Failed Machine Learning

High-profile real-world examples of failed machine learning projects

Classical Machine Learning

Title	Description
Amazon AI Recruitment System	AI-powered automated recruitment system cancelled after evidence of discrimination against female candidates
Genderify - Gender identification tool	AI-powered tool designed to identify gender based on fields like name and email address was shut down due to built-in biases and inaccuracies

vikramsoni2

Link data stored in your Google Drive as CSV file into Squarespace.

You need to add the script provide in this gist to your Squarespace site using Code-injectin option and add the cde to the footer section.

Configurable options : IMPORTANT

targetNode:

This is a list element ( <ul> element in HTML) that you need to populate

vikramsoni2

<script>
 
  // select the quantity input element
  el = document.querySelector('.product-quantity-input input')

  // create two elements to increase and decrease
  prev = document.createElement('div') 
  prev.id = 'btn-prev'
  prev.innerHTML = '-'
  next = document.createElement('div')