Useful tools for constructing species distribution models
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Updated
May 13, 2024 - R
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
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.
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.
In this section, predicting the energy efficiency of buildings with machine learning algorithms.
Evolutionary Neural Architecture Search framework that improves performance of your DL models
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
A project featuring use of statistical techniques for exploratory data analysis and data mining techniques for predicting the quality of wine. 🍷🍸🍹
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.
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
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
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