Classify whether the text is a spam or not.
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Updated
Mar 14, 2023 - Jupyter Notebook
scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.
Classify whether the text is a spam or not.
Learning tradicional machine learning with scikit-learn.
Used supervised machine learning classification algorithms such as Decision Tree and Random Forest to predict whether or not water pumps in Tanzania require repair.
Example showing how Scikit-learn can be used to recognize images of hand-written digits.
Intro to Machine Learning. Uses random forest and logistic regression models to compare accuracy on loan approvals.
Predicting whether a given passenger would have survived during the titanic crash using scikit-learn.
Space Titanic Data Project
Binary classfication with scikit-learn and Random Forest models.
Simple anti-spam detector for text messages
Our objective is to predict the eligibility for an employee to be promoted or not. The dataset is taken from live hackathon in Analytics Vidhya
Using Machine Learning for Creating a Movie Recommendation System
python-data-science-machine-learning
This repository contains all of the code taught in the textbook called "Introduction to Machine Learning with Python: A Guide for Data Scientists" by Andreas Müller and Sarah Guido.
A Flight price prediction application that predicts fares of flights for a particular date based on various parameters like Source, Destination, Stops & Airline. A web application is created using Flask through which users can interact and get accurate predictions of flight fares.
PennState STAT508 course model examples in Python (sklearn)
A Flight price prediction application that predicts fares of flights for a particular date based on various parameters like Source, Destination, Stops & Airline. Data used in this project is scraped from an online ticket booking website 'Ease my Trip' using a Python module name BeautifulSoup. The dataset goes through Data Cleaning, Data Wrangling,
Boston House Prices Data Project
This is a guided project from the book "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition" by Aurelien Geron.
MLflow for MLOps
Created by David Cournapeau
Released January 05, 2010
Latest release 28 days ago