Hi there, I'm Ahmed! 👋
import os
def greet():
print(f"Welcome {os.popen('whoami').read().strip()}!! 👋")
import os
def greet():
print(f"Welcome {os.popen('whoami').read().strip()}!! 👋")
A “hybrid” service model, in which client-sent records are processed and coded via automated IP of OCR / NLP / CV
Jupyter Notebook
Forked from georgearun/Data-Science--Cheat-Sheet
Cheat Sheets
Automated system developed to scrape Amazon product data with diversity of categories and attributes.
Python
layers = [4, 5, 6, 3]
mlpc = MultilayerPerceptronClassifier(layers = layers, blockSize = 32, seed = 4, solver='gd')
model = mlpc.fit(trainSet)
The Instagram scrapped data with a profile name and biography was used to decide whether that account is owned by an individual or not using Deep Learning NLP techniques.
Jupyter Notebook 1