Machine learning integrated search engine app.

Script tersebut menerapkan kerangka kerja Knowledge Discovery in Database (KDD) yang mencakup data mining dengan metode algoritma FP-Growth untuk menemukan hubungan asosiasi antar item.

Project aims to forecast potato prices in India using LSTM, KNN, and Random Forest Regression, integrating historical data on prices, regional stats, and rainfall patterns. Targeting agricultural stakeholders for informed decision-making.

This repository contains the code for the first project for Data Mining classes at the Poznań University of Technology, created by the team Kung Fu Pandas.

Movie recommendation system API. Part of which was made for university course project.

Transforming Ideas into Intelligent Automation

Here in this repository I share my data projects and challenges that I used to put my knowledge into practice. 🎯📚☕

Managing proxies for scaled data scraping and other automation operations will eventually require something like ProxyNest. ProxyNest is a proxy managment API that is well-suited for mid-scale and will soon be made for large ones.

A Real Estate Web Crawler and data pipeline, developed using Python and Scrapy, facilitates the ETL process through multiple stages. It extracts metadata for apartments in Milan, Italy, from various web pages and URLs on sublet.com. The extracted information is then structured using Scrapy items and saved in JSON format

My assignments for homework of Computational Data Mining course at Amirkabir University of Technology

A Template Repository which sets as up a Python environment packed with necessary and popular data science packages.

Advanced Automated Data-Mining Tool For MOOC Result to Scrap in one click.

This study evaluates the performance of F10.7 cm forecasts found in SWPC's 'Weekly Highlights and 27-day Forecast' product in PDF format from 2020-2023.

This Repo gives you an idea of my work with Python codes using different libraries (TensorFlow, NumPy, SciPy, Pandas, Matplotlib, Keras, SciKit-Learn,) and methods in the field of Machine Learning.

Learning how to make a simple Decision Tree

Web scrapers for instagram, XHS and investor contacts

This repository is to showcase Data analysis skills. Here Pandas, Siuba, SQL and other dataFrames are used to clean, manipulate and analyze data to draw conclusions, prepare the data for visualization or prepare the data for machine learning.

Meus ipynb e projetos relacionados