2020-06-25 · Expand the traditional EDA in a wider pipeline looking for the impact of each action into the behaviour of models. Exploratory Data & Models Analysis

exploratory-data-analysis classification machine-learning logistic-regression

In machine learning, computers apply statistical learning techniques to automatically identify patterns in data.

decision-trees random-forests r2d3 decision-tree

Predicting Flight Fare based on departure and arrival cities, number of stops, duration of the flight.

machine-learning exploratory-data-analysis random-forests matplotlib

TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

automl tpot genetic-programming hyperparameter-optimization

This repo contains mathematical derivations and python implementations in numpy for key machine learning algorithms

linear-regression logistic-regression neural-networks k-nearest-neighbors

An Interactive Dashboard enabling users to make data-driven decisions about their Kickstarter campaign to maximize the probability for successful funding

data-science interpretability scraping xgboost

Examples for all the different utilities within scikit-learn.

scikit-learn naive-bayes linear-regression logistic-regression

It is an End to End Machine Learning Project which is deployed on Heroku.

python machine-learning random-forests decision-tree

2020-03-01 · It is a machine learning based web app to predict whether a student get dropout from college based on his academic and financial details.

machine-learning random-forests decision-tree code

Bike-rental-count-prediction The objective of this Case is to Prediction of bike rental count on daily basis on the environmental and seasonal settings.

machine-learning random-forests decision-trees decision-tree

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