Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Code for the blog post Nearest Neighbors with Keras and CoreML

Movie Recommendation System created using Collaborative Filtering (Website) and Content based Filtering (Jupyter Notebook)

The repository contains various python jupyter notebooks of predicting different medical diseases from various open source datasets.The following medical diseases predicted are cancer,,diabeties,kidney diseases,heart disease,liver diseases,spine disease using variou machine learning classification algorithms like KNN,Logistic Regression,Support …

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…

Machine Learning Notebooks for various Algorithms with data file

Jupyter Notebook for KNN Algorithm.

IPython Notebook for spatial data analysis of electric vehicle charging stations in Ontario, Canada.

Python notebook describing the entire process of developing a prediction model including: Exploratory Data Analysis, Data Preprocessing, and Model Development

Machine Learning Jupyter Notebooks

This is an introductory study notebook about Machine Learning witch includes basic concepts and examples using Linear Regression, Logistic Regression, NLP, SVM and others.

Low Humid Day Predication from daily weather data using SprakSQL on a Jupyter notebook and KNIME workspace

My notebooks and datasets. I have uploaded data files as well as fully worked out Jupyter notebooks that contain various machine learning algorithms in action.

ML project to classify benign from malignant tumors using Jupyter notebook

A library of implementations in the 'iads' directory, plus Jupyter notebooks for testing

This repository is a series of notebooks that show analysis and modeling of the Breast Cancer data from Kaggle.

Master Decision Trees & Ensembles in Python with this ML notebook! Classification, Regression, Bagging, Boosting, & Tuning. Elevate your ML skills now! 🌲🚀

Classification Machine Learning project

Jupyter Notebooks exploring Machine Learning techniques -- regression, classification (K-nearest neighbour (KNN), Decision Trees, Logistic regression vs Linear regression, Support Vector Machine), clustering (k-means, Hierarchical Clustering, DBSCAN), sci-kit learn and SciPy -- and where it applies to the real world, including cancer detection, …