A python code running with jupyter notebook or google colabs, implementing the Data Mining Associating rule with Apriori algorithm.
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Updated
Nov 2, 2021 - Jupyter Notebook
A python code running with jupyter notebook or google colabs, implementing the Data Mining Associating rule with Apriori algorithm.
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.
Messy artifacts produced in the process of my trials and errors for learning. | 学びの過程で発生した乱雑なコード群
To create a classification model to predict whether a person makes over $50k a year
This projects is made using pandas operation to analyze the dataset having data from some of the most famous streaming platforms - Netflix, Hulu, Prime Video and Disney+. In this project the visualizations are done in Plotly and Seaborn.
A deep learning model trying to predict the propabillity of being diagnosed with diabetes type-2
In this repository I will explain how to scrap websites using python programming language with BeautifulSoup and Selenium.
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.
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