Deployment of NVIDIA-CUDA on Google Colab. With in examples codes (Vector Addition and Matrix Multiplication).

In this assignment I will put my ETL skills to the test. Many of Amazon's shoppers depend on product reviews to make a purchase. Amazon makes these datasets publicly available. However, they are quite large and can exceed the capacity of local machines to handle. One dataset alone contains over 1.5 million rows; with over 40 datasets, this can b…

Pixelated handmade drawings classifier. Similar aproach to MNIST but the dataset it's made by myself on a WhiteBoard inside GoogleColaboratory.

Using the AWS webserver, ETL process with Pyspark analyze video game data from the Amazon Vine program to determine bias toward the program.

This project contains code for skin cancer detection based on benign or malignant using transfer learning techniques.

Web Scraper using Python

Deep Learning model for predicting success after donation coded in Google Colab

Computer Vision and Image Processing

In this project, different machine learning approaches are used to detect the diabetes in patients using the PIMA Indians diabetes dataset.

To create a classification model to predict whether a person makes over $50k a year

A deep learning model trying to predict the propabillity of being diagnosed with diabetes type-2

The MARKET ANALYSIS DASHBOARD is a project that aims to provide a comprehensive analysis of market data.

This repository was created by me, a student who wants to learn machine learning !

Pick one of 50 datasets and use PySpark to perform the ETL process to extract the dataset, transform the data, connect to an AWS RDS instance, and load the transformed data into pgAdmin. Next, use PySpark to determine if there is any bias toward favorable reviews from Vine members.

Threading in python is used to run multiple tasks, or functions (threads) at the same time, they all run parallelly.

In this project, you will perform basic data analysis on a dataset of Airbnb listings. EDA is a fundamental step in data science that involves exploring and understanding the data before diving into more complex analysis or modeling.