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best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

cc_fraud_detector

Implementation of various machine learning techniques to detect credit card frauds based on a given dataset. This repo will guide you through the data analysis, viz and building predictive models

customer_segmentation

This repo explains how to use KMeans classifier to create customer segmentation to help the marketing team of local supermarket in launching a campaign of new products

datascienceportfolio

Listing of Data Science Projects

faisal-irzal.github.io

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

insurance_claim_pred

machine_learning_for_pse

Code repository for the book 'Machine Learning in Python for Process Systems Engineering'

nn_with_keras

paired_sample_t_test

This repository will explain about paired sample t-test, the test procedure and how to use it using Scipy library of Python.

predictive_maintenance_ml

Showcase how machine learning can help plant operator monitor equipment condition through correctly analyzing measurement data collected from many sensors.

product-purchase-prediction

machine learning model deployment through Heruko app. Random Forest classifier is used to predict customer purchasing behaviour, Flask to create web-app and Heruko platform to deploy the model.

sharpe_ratio_explained

Sharpe-ratio, a measure of the performance of an investment is explained by investigating Facebook & Amazon share value as opposed to 500 companies in S&P 500 in 2016

titanic_survival_pred

This repo guides you to to build predictive models of Titanic survival, including data-viz & pre-processing, feature analysis, building predictive models and performance evaluation.