Kaggle

APRIL 20, 2020

In 2009 and 2010, I participated the UCSD/FICO data mining contests. What I tried and What ended up working I tried many different algorithms (mainly weka and matlab implementations) and feature sets in nearly 80 submissions. My PhD research focuses on meta-learning and the full model selection problem. In total 352 features.

Algorithm 61

Algorithm Data Mining Data Mining Data Mining 61

Mlearning.ai

MAY 21, 2023

Source code projects provide valuable hands-on experience and allow you to understand the intricacies of machine learning algorithms, data preprocessing, model training, and evaluation. We have the IPL data from 2008 to 2017. We will also be building a beautiful-looking interactive Flask model.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Python 52

Mlearning.ai

MAY 23, 2023

HOGs are great feature detectors and can also be used for object detection with SVM but due to many other State of the Art object detection algorithms like YOLO, and SSD , present out there, we don’t use HOGs much for object detection. We have the IPL data from 2008 to 2017. I have used Boston Housing Data for this use case.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Python 52

Mlearning.ai

JUNE 7, 2023

However, building a machine learning model involves more than just training algorithms. It requires a systematic approach that encompasses problem definition, data collection, preprocessing, model training, evaluation, and deployment. We have the IPL data from 2008 to 2017. Working Video of our App [link] 7.

Machine Learning 52

Machine Learning Machine Learning Python Deep Learning 52

Mlearning.ai

JUNE 6, 2023

HOGs are great feature detectors and can also be used for object detection with SVM but due to many other State of the Art object detection algorithms like YOLO, SSD, present out there, we don’t use HOGs much for object detection. We have the IPL data from 2008 to 2017. I have used Boston Housing Data for this use case.

Machine Learning 52

Machine Learning Machine Learning Python Deep Learning 52

AWS Machine Learning Blog

NOVEMBER 18, 2024

For example, instead of writing complex SQL queries, an analyst could simply ask, “How many female patients have been admitted to a hospital in 2008?” This dataset is commonly used for research and development purposes, because it provides a realistic representation of healthcare data without compromising patient privacy.

SQL 99

SQL Database AWS AI 99