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Search results for pandas data mining

29 search results found

Ai Learn ⭐ 8,256

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Py tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

Orange3 ⭐ 4,469

🍊 📊 💡 Orange: Interactive data analysis

Datascience ⭐ 3,955

Curated list of Python resources for data science.

Deepgraph ⭐ 274

Analyze Data with Pandas-based Networks. Documentation:

Rightmove_webscraper.py ⭐ 219

Python class to scrape data from rightmove.co.uk and return listings in a pandas DataFrame object

Books related to AI/ML/DL/GENAI

Instagram Comments Scraper ⭐ 98

Instagram comment scraper using python and selenium. Save the comments into excel.

Practicalmachinelearning ⭐ 79

A curated collection of machine learning resources, including notebooks, code, and books, all of which are either free or open-source

Pandas Doc Zh ⭐ 77

pandas 0.19.2 文档中文版

2017 Ccf Bdci Enterprise ⭐ 70

2017-CCF-BDCI-企业经营退出风险预测：9th/569 (Top 1.58%)

Scikit Mine ⭐ 56

scikit-mine : pattern mining in Python

Algorithmic Trading ⭐ 46

Algorithmic trading using machine learning.

Hh_research ⭐ 41

Автоматизация поиска и исследования вакансий с сайта hh.ru (Headhunter) с помощью методов Python. Классификация данных, поиск статистических параметров.

Paretoset ⭐ 32

Compute the Pareto (non-dominated) set, i.e., skyline operator/query.

Nostradamus ⭐ 30

🧠 An open-source machine learning application for analyzing software defect reports extracted from bug tracking systems.

Realtime Twitterdataanalysis ⭐ 18

Collect and process real time twitter data plotting various metrics like volume , proportion, sentiment. Analyze tweet node networks and map them geographically.

YouML: A Machine Learning Toolkit

Python Roadmap ⭐ 16

I am sharing Python lessons from scratch to intermediate with practice sets which I have studied into my Journey of 66DaysofData into Data Analytics.

Investigate_tmdb_movies ⭐ 13

Investigating Dataset contains information about 10,000+ movies collected from The Movie Database (TMDb)

Modern C Plus Plus Efficient And Scalable Application Development ⭐ 12

Leverage the modern features of C++ to overcome difficulties in various stages of application development

Webscrapping ⭐ 9

Web Scraping using Python Data mining , Data Analyzing & Data Visualization of the collected Data, The python script is written to fetch all the individual categories the website , The code is written for fetching the data from the first page and it iterates to each and every pages of website ( activities, categories, count of bought), and I used statistical techniques for mathematically analysis and presenting the data into visualization

Student Grade Prediction ⭐ 9

Predict student's performance in high school, using Linear Regression and training multiple models.

An idiomatic kotlin dataframe toolkit for data engineering tasks of any size dataset

Nba Predictive Analytics ⭐ 7

Being able to perform gameplay analysis of NBA players, NBA Predictive Analytics is a basketball coach's new best friend.

Coursera Web Scraper ⭐ 7

A multiprocessing webscraper for Coursera.org to build a dataset for all courses with details like ratings, difficulty, etc.

Mini Project ⭐ 5

Mini-Projects in Master's (Big Data & Data Analytics) at Manipal University

Verimadenciliginotlarim ⭐ 5

My notes and my own studies in the Data Mining course in the computer engineering department of Süleyman Demirel University

Ibm Data Science ⭐ 5

My solutions to the peer-reviewed assignments in the Data Science Professional Specialization offered by IBM on Coursera.

Lumber Jack ⭐ 5

High performance & light weight alternative to Pandas with ML focused tooling. (Work in progress x100!)

Market Basket Analysis On Food Items ⭐ 5

Frequent Itemsets via Apriori Algorithm Apriori function to extract frequent itemsets for association rule mining We have a dataset of a mall with 7500 transactions of different customers buying different items from the store. We have to find correlations between the different items in the store. so that we can know if a customer is buying apple, banana and mango. what is the next item, The customer would be interested in buying from the store.

Languagesdataset ⭐ 5

📊 I created a dataset with over 600 programming languages information

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