Regression model to predict flight fares
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Updated
Feb 2, 2023 - Jupyter Notebook
scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.
Regression model to predict flight fares
This end-to-end machine learning project is focused on predicting medical insurance price using regression.
Developed a machine learning model using the Cleveland Heart Disease dataset to accurately predict heart disease presence in individuals based on 14 medical attributes. Conducted comprehensive data exploration, visualization, model selection, training, hyperparameter tuning, and evaluation. Identified crucial features to aid diagnosis and treatment
This machine learning project aims to recommend the most suitable crop to grow based on various soil and environmental factors. The model takes into account the following input data:
Regression model to predict IPL scores
Enron fraud detect classifier using Decision tree algorithm
Won Best "Rough Draft" and "Best Use of Google Cloud" @ YHack 2017. A machine learning web application that provides both speech to text, sentiment and content analysis to prevent fake news. 📰🔖
Machine Learning in Python
Tensorflow and Python neural network implementations
This is a simple approach to solve the Titanic dataset problem from Kaggle.
Use sklearn algorithms to identify 'persons of interest' based on enron employees' financial & email data
A final Intro to Media project
Jupyter notebooks with python & ml
A Python API package to quickly stack scikit-learn models
Code for Kaggle competition Titanic: Machine Learning from Disaster
Predict metal or rock objects from sonar return data
Feature engineering sklearn transformer for dates
Created by David Cournapeau
Released January 05, 2010
Latest release 12 days ago