Useful tools for constructing species distribution models

An Interactive Approach to Understanding Deep Learning with Keras

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

Utilizing Kaggle Data and Real-World Data for Data Science and Prediction in Python, R, Excel, Power BI, and Tableau.

Awesome list of AutoML frameworks - curated by @oskar-j

Project with examples of different recommender systems created with the Surprise framework. Different algorithms (with a collaborative filtering approach) are explored, such as KNN or SVD.

A Predictive Model for Marketing Campaigns

Recommender systems with collaborative filtering created with Apache Mahout framework. The system uses a Music Recommendation dataset for research purposes as input, but you can train it and predict recommendations with any other dataset.

Evolutionary Neural Architecture Search framework that improves performance of your DL models

In this section, predicting the energy efficiency of buildings with machine learning algorithms.

TensorFlow and Keras are used for the construction and evaluation of Deep Learning models to predict success of companies that receive funding from a venture capital fund.

Austin Housing Price Predictions is a start-to-finish regression project which includes image processing, NLP, Neural Networks, transfer learning, and model ensembling.

Over-fitting and model tuning

18 Projects in AI & ML

Apply supervised machine learning techniques and an analytical mind on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause

The data from this survey are used for a wide range of equipment design, sizing, and tariffing applications within the military and have many potential commercial, industrial, and academic applications.

This Repository contains the projects which are part of Udacity Machine Learning Nanodegree

پخش زنده پیرامون برخی اصطلاحات و مشکلات در یادگیری ماشین و یادگیری عمیق

Predicting potential donors using various machine learning models for Charity

Applying AI to medical use cases: Diagnoses of lung and brain disorders, Building risk models and survival estimators for heart disease via RF, and Using NLP to extract information from radiology reports.