Practice and tutorial-style notebooks covering wide variety of machine learning techniques
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Updated
May 22, 2023 - Jupyter Notebook
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Coursera IBM ML course projects with notebooks
Skincare recommendation android application that uses dataset from Kaggle and scrapped data from cosmetics websites to work a Tf-IDF vectorizer for content based filtering, and KNN and Decision trees for collaborative based filtering. The notebook also contains other approaches for POC including SVD. Backend APIs are based on Flask, Android appl…
This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project
This repo contains my assignment notebooks for the AI for Medicine Specialization course. The link to the course: AI for Medicine Specialization https://www.coursera.org/learn/ai-for-medical-prognosis
decision trees juoyter notebook
A Jupyter Notebook / Google Colab based Machine Learning Notebook for training a model to predict the first inning score of an IPL match using data from matches played between 2008 to 2017.
Repository of all notebooks used in the ML-DL101 event for explaining basics of machine learning and deep learning.
This Repository consist of some popular Machine Learning Algorithms and their implementation of both theory and code in Jupyter Notebooks
This notebook can be downloaded, tested and modified with Google Colab and aims at explainable how a Decision Tree is built. It is also coupled with a Medium article.
Beginner's guide to Machine Learning. Notebooks, blogs, resources and tracks to help anyone get started.
Notebooks and exercises about machine learning and deep learning
Machine Learning Homework Solution Notebooks (UCF CAP5610)
The Jupyter notebook repository covering a wide variety of machine-learning models and algorithms ranging from regression to classification.
Study Notes on machine learning, data analysis, algorithms and best practices using Python and Jupyter Notebook.
Low Humid Day Predication from daily weather data using SprakSQL on a Jupyter notebook and KNIME workspace
Linear Discriminant Tree in jupyter notebook
Modified notebooks (single) from kaggle.com/learn with added nuances
Implementation notebooks and scripts of Supervised Learning Algorithms from scratch.
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