The full collection of Jupyter Notebook labs from Andrew Ng's new Machine Learning Specialization.
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Updated
Aug 12, 2022 - Jupyter Notebook
The full collection of Jupyter Notebook labs from Andrew Ng's new Machine Learning Specialization.
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Repo with my most popular kaggle notebooks. I've put a lot of effort into them back in the day, so they are highly curated and well documented.
Notebooks for Advanced Statistical Inference(ASI) course at EURECOM
Notebooks to help understand unsupervised clustering made for Central London Data Science Project Nights.
implemented by jupyter notebook
A notebook using many unsupervised learning techniques. PCA, K-means, Gaussian Mixtures. Clustering, dimensionality reduction, anomaly detection
K-means implementation in python using Jupyter Notebook
A Jupyter notebook that run PCA and KMeans on population demographic data.
Jupyter notebook sur une analyse les données de Demandes de Valeurs Foncières (DVF) avec python.
FinTech Mod 10- assembling investment portfolios based on cryptocurrencies; Jupyter notebook that clusters by performance in different time periods.
Jupyter notebook with Object Oriented implementation of the k-means clustering algorithm. Experimenting with both random and k-means initialization.
The notebook demonstrates the use of Folium maps and WordCloud visualization tool, as well as a sophisticated use of k-means algorithm.
Master Decision Trees & Ensembles in Python with this ML notebook! Classification, Regression, Bagging, Boosting, & Tuning. Elevate your ML skills now! 🌲🚀
This repository contains machine learning projects implemented in Jupyter Notebooks, including analysis on the Iris dataset and a project focused on the KDD99 dataset.
This repository contains one of the pre-requisite notebooks for my internship as a Data Analyst at Technocolabs. It includes some of the micro-courses from Kaggle.
An in-depth exploration of clustering algorithms and techniques in machine learning, with applications focus on Object Tracking and Image Segmentation.
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