Shanan's repositories
cracking-the-coding-interview
:books: C++ and Python solutions with automated tests for Cracking the Coding Interview 6th Edition.
stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
A-Restuarnt-Site-With-Django
Build Restuarant Site using django
Customer-Segmentation-Clustering
Using Artificial Intelligence Techniques in Marketing
Directing-Customers-to-Subscription-Through-App-Behavior-Analysis
Directing-Customers-to-Subscription-Through-App Behavior Analysis
Kafka_Spark3_Streaming_MultiQuery
Reading data from Kafka, then make transformation(Flatten) and target it to Kafka (Notifications) and and other source as( Json)
BREAST-CANCER-CLASSIFIER
Cancer Breast Classification Model
Build_Django_Vezzeta_Site
Django Vezzeta Site
clean-code-dotnet
:bathtub: Clean Code concepts and tools adapted for .NET
Connect-And-Use-Arduino-via-Cpp-Consol-Applocation
Use of Arduino using your software designed in C++
Data-Analysis-With-Python
Practical Examples With projects
data-engineering-zoomcamp
Free Data Engineering course!
Django_API_AS_Microserive
Using Microserives architecture to create Django_Rest_framework
Emotion-AI
Facial_KeyPoints model combined with Face_Emotion_Model using Residual Network
face_recognition
The world's simplest facial recognition api for Python and the command line
Fashion-MNIST-Classification
Classify Fashion training set consists of 70,000 images
Grokking-Deep-Learning
this repository accompanies the book "Grokking Deep Learning"
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
javascript-interview-questions
List of 1000 JavaScript Interview Questions
Kafka_and_Spark3_Streaming
Reading Data From Kafka and make transformation and put it in Kafka again
mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
nlp_course
YSDA course in Natural Language Processing
ProductRater_API_Django
ProductRater_API_Django
Real-Time-Person-Removal
Removing people from complex backgrounds in real time using TensorFlow.js in the web browser
Spark3_Files_Streaming_With_Scala
Reading Spark Streaming to Read Json Files From Director
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
US_BikeShare
In this project, I will explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington. Using Python, I will write a code import the data and answer interesting questions about it by computing descriptive statistics. I will also write a script that takes in raw input to create an interactive experience in the terminal to present these statistics.