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data-preprocessing

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Western-OC2-Lab / AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics

Star 613

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

iot machine-learning deep-learning model-selection data-preprocessing feature-engineering hyperparameter-tuning concept-drift automl intrusion-detection-system automated-machine-learning data-streams python-examples data-stream-processing python-samples iot-data-analytics
  • Updated May 14, 2024
  • Jupyter Notebook
100-Days-Of-ML-Code

harunurrashid97 / 100-Days-Of-ML-Code

Star 214

A day to day plan for this challenge. Covers both theoritical and practical aspects

python data-science machine-learning article linear-regression exploratory-data-analysis machine-learning-algorithms eda tutorials datascience data-preprocessing implementation decision-tree 100-days-of-code infographics regression-algorithms textsummarization siraj-raval-challenge vizualization 100daysofmlcode
  • Updated Feb 6, 2023
  • Jupyter Notebook

shamspias / customizable-gpt-chatbot

Star 346

A dynamic, scalable AI chatbot built with Django REST framework, supporting custom training from PDFs, documents, websites, and YouTube videos. Leveraging OpenAI's GPT-3.5, Pinecone, FAISS, and Celery for seamless integration and performance.

python nlp machine-learning natural-language-processing django chatbot django-rest-framework artificial-intelligence voice-recognition voice-chat data-preprocessing voice-to-text conversational-ai gpt-3 voice-transcription langchain gpt-voice langchain-python longchain autogpt
  • Updated Mar 16, 2024
  • Python
desbordante-core

Desbordante / desbordante-core

Star 361

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

data-science data-mining exploratory-data-analysis tabular-data feature-selection data-engineering feature-extraction data-analytics knowledge-discovery data-wrangling data-preprocessing feature-engineering spreadsheets data-exploration data-mining-algorithms data-cleaning data-profiling anomaly-detection data-cleansing correlations
  • Updated Jun 8, 2024
  • C++

soumyadip007 / Data-Science-Using-Python-University-Course-Module

Star 44

“Data science” is just about as broad of a term as they come. It may be easiest to describe what it is by listing its more concrete components: Data exploration & analysis. Included here: Pandas; NumPy; SciPy; a helping hand from Python's Standard Library.

python data-science numpy jupyter-notebook data-visualization plotting data-preprocessing panda data-processing data-preparation knn
  • Updated Apr 15, 2020
  • Jupyter Notebook

Rpita623 / Movie-Recommendation-System-using-R_Project

Star 30

Movie Recommendation System: Project using R and Machine learning

recommendations data-science machine-learning r rstudio machine-learning-algorithms data-visualization datascience recommendation-system data-analysis recommendation-engine machinelearning recommender-system recommendation data-preprocessing recommender-systems movie-recommendation movielens-dataset rprogramming movie-recommendation-system
  • Updated Nov 4, 2021
  • R

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