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 Python K-nearest Neighbors 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

Dataconomy

MARCH 5, 2025

Data visualization: Creating dashboards and visual reports to clearly communicate findings to stakeholders. Job title history of data scientist The title “data scientist” gained prominence in 2008 when companies like Facebook and LinkedIn utilized it in corporate job descriptions.

Data Scientist 91

Data Scientist Citizen Data Scientist Exploratory Data Analysis Machine Learning 91

Pickl AI

MARCH 7, 2025

The Power of Machine Learning and AI in Data Science Machine Learning (ML) and AI are integral components of Data Science that enable systems to learn from data without explicit programming. Her work demonstrated the power of data in driving social change. How Is Machine Learning Different from Traditional Programming?

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52