recommender systems algorithms
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Updated
May 28, 2024 - HTML
recommender systems algorithms
Useful tools for constructing species distribution models
The folliwing ML project involves EDA analysis of Election Dataset, Data preparation for modelling, and prediction using ML models. Also Text Analysis on the inaugral corpora from nltk to analyse the most frequently used words in Presidents' Speeches.
Evolutionary Neural Architecture Search framework that improves performance of your DL models
A Predictive Model for Marketing Campaigns
Comprehensive implementation of an Applied Machine Learning model for Diabetes Prediction. The project aims to leverage machine learning techniques to predict the likelihood of an individual developing diabetes based on various health and lifestyle factors.
I have developed a GitHub project on ex-showroom car price prediction. The project includes data cleaning, data modeling, and data selection for accurate predictions. It also involves feature selection, model evaluation, testing, and comparison to determine the most effective model.
Utilizing Kaggle Data and Real-World Data for Data Science and Prediction in Python, R, Excel, Power BI, and Tableau.
Sameer Girolkar's AIML practice Notebooks
18 Projects in AI & ML
In this section, predicting the energy efficiency of buildings with machine learning algorithms.
Awesome list of AutoML frameworks - curated by @oskar-j
in this repo, you will find implementation of various classification models, data augmantation ,cnn designing and model reguralization
Predicting potential donors using various machine learning models for Charity
An Interactive Approach to Understanding Deep Learning with Keras
From a dataset provided by a leading commercial bank in Vietnam, profile customers of the bank and predict who are likely to churn.
This is the historical data that covers sales of a supermarket, Walmart. In this work, I tried to explore the dataset and create a simple model to predict the sales (Weekly_Sales)
The Office of Foreign Labor Certification is facing a dramatic increase in work visa applications, but is hampered by a sluggish review system. It needs to improve the process by developing a way to quickly, accurately identify applications likely to be accepted or rejected so their processing may be prioritized.
skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.
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.
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