Athari Khalid.'s Projects
SQL for Data Science
Applied-Data-Science-Capstone
A Simple Django Blog is a basic web application.
Simple calculator website
IBM Project
Customer Segmentation using Machine Learning
Simple CV website
The idea of the project is to work for a new startup investment firm that helps customers invest their money in stocks.
In this project, I defined and train a DCGAN on a dataset of faces. This project is part of the deep learning nanodegree program at udacity. Overview The project is broken down into a series of tasks from loading in data to defining and training adversarial networks. And visualize the results of trained Generator generated samples that look like fairly realistic faces with small amounts of noise.
Fake News Detection Using Python
The idea of the project is to do a Data analysis in a Real Estate Investment Trust. The Trust would like to start investing in Residential real estate.
Apply basic Python skills in Introduction to Python and Intermediate Python by processing and visualizing film and television data.
Notes website.
In this project, I built the neural network and used it to predict daily rental bike rides. Assisted by Udacity's as part of the Deep Learning Nanodegree. This neural network implementation in this project is the concept of forward and reverse propagation, stochastic gradient ratios, and hyperparameter interpretations.
In this project, I created a Sentiment Analysis Web App using PyTorch and SageMaker. This project is part of the deep learning nanodegree program at udacity. Project Overview In this project, I constructed a recurrent neural network for the purpose of determining the sentiment of a movie review using the IMDB data set. Used Amazon's SageMaker service. In addition, created a simple web app that will interact with the deployed model.
My masterpieces
TinDog This project is part of Web Development Bootcamp course
In this project, I generated Seinfeld TV scripts using RNNs.This project is part of udacity deep learning nanodegree program. The Neural Network will generate a new, "fake" TV script, based on patterns it recognizes in this training data.
In this project, I build the Convolutional Neural Network (CNN) module to build a landmark classifier. This project is part of deep learning nanodegree program with udacity.