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machine_learning-_resources

Machine Learning Resources by Jason Brownlee

marketing-data-science

Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).

maz2198

My personal repository

medium_notebook

Repository containing notebooks of my posts on Medium

mediumposts

mentalhealth

Supervised Machine Learning model trained on OSMIhelp.org mental health datasets.

meteostat-python

Access and analyze historical weather and climate data with Python.

ml-based-feature-selection

This notebook is a one stop shop for ML based feature selection for classification purpose. Once the master data is prepared, we can use this notebook to try out 8 feature selection techniques and combine their results

ml_finance_codes

Machine Learning in Finance: From Theory to Practice Book

mlops

model-for-predicting-rapid-response-team-events

This repository contains a predictive model developed to provide a patient risk score for the purposes of intelligently allocating rapid response team resources

natural-language-processing

This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data program, Natural Language Processing course.

nlp-topic-modeling-and-sentiment-analysis-of-luxury-car--reviews

Using NLP and LDA for Topic Modeling and Sentiment Analysis

patient_survival_prediction

Predict patient survival from dataset of more than 130,000 hospital Intensive Care Unit (ICU) visits from patients, spanning a one-year timeframe.

predict_clicked_ads_customer_by_using_machine_learning

A model for predicting users who have the potential to click Product Ads.

predicting-early-hospital-readmissions

Predicting early hospital readmissions among diabetic patients. I used several supervised machine learning algorithms to predict early hospital readmissions based on a dataset available from UCI and performed a cost benefit analysis to optimize a threshold for recall and precision. I made a simple Flask prediction app as well.

public-apis

A collective list of free APIs for use in software and web development.

pubmed-topic-extraction

Extracts common topics from Pubmed search results using Latent Dirichlet Allocation (LDA) topic modeling. Visualizes the topic-term network using networkx, and plots topic frequency over time.

pyspark-and-mllib

Getting start with PySpark and MLlib

pysteps

Python framework for short-term ensemble prediction systems.

python-machine-learning

Python Machine Learning Algorithms

python-natural-language-processing

Python Natural Language Processing, published by Packt

python-scripts

because i'm tired of gists

random-forest-importances

Code to compute permutation and drop-column importances in Python scikit-learn models

recommendation-engines

This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data program, Recommendation Engines course.

retail_cltv

risk-manage

Codes about risk management, such as scorecard, ks, psi etc

risk-slim

simple customizable risk scores in python

rocauc-auprc

Comparing ROC-AUC to AUPRC on unbalanced data.

rtb

Bid optimisation methods for real-time bidding in online display advertising.