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#

scikitlearn-machine-learning

Here are 1,126 public repositories matching this topic...

igelMachine-Learning-Guide

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings 👍

  • UpdatedMar 18, 2025
  • Jupyter Notebook

Disease Prediction based on Symptoms.

  • UpdatedFeb 15, 2023
  • Jupyter Notebook

Códigos Python com diferentes aplicações como técnicas de machine learning e deep learning, fundamentos de estatística, problemas de regressão de classificação. Os vídeos com as explicações teóricas estão disponíveis no meu canal do YouTube

  • UpdatedOct 19, 2020
  • Jupyter Notebook

Final Year Project on Road Accident Prediction using user's Location,weather conditions by applying machine Learning concepts.

  • UpdatedOct 31, 2019
  • HTML
Grokking-Machine-Learning

This repo aims to contain different machine learning use cases along with the descriptions to the model architectures

  • UpdatedDec 5, 2022
  • Jupyter Notebook

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

  • UpdatedFeb 1, 2024
  • Python

Science des Données Saison 5: Technologies pour l'apprentissage automatique / statistique de données massives et l'Intelligence Artificielle

  • UpdatedMar 5, 2025
  • Jupyter Notebook

This repository is a related to all about Machine Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python), Feature Selection technique in python etc. Follow Coursesteach for more content

  • UpdatedJul 12, 2025
  • Jupyter Notebook

Use Machine Learning to Predict Bank Client's CD Purchase with XGBoost and Scikit Learn in Watson Studio

  • UpdatedJan 27, 2020
  • Jupyter Notebook

A pattern focusing on how to use scikit learn and python in Watson Studio to predict opioid prescribers based off of a 2014 kaggle dataset.

  • UpdatedFeb 28, 2020
  • Jupyter Notebook

An evaluation of word-embeddings for classification

  • UpdatedFeb 19, 2019
  • Python

Uber is interested in predicting rider retention. To help explore this question, they have provided a sample dataset of a cohort of users.

  • UpdatedMar 8, 2018
  • Jupyter Notebook

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