Ocean Protocol

DECEMBER 12, 2023

Abstract This research report encapsulates the findings from the Curve Finance Data Challenge , a competition that engaged 34 participants in a comprehensive analysis of the decentralized finance protocol. Part 1: Exploratory Data Analysis (EDA) MEV Over 25,000 MEV-related transactions have been executed through Curve.

Exploratory Data Analysis 52

Exploratory Data Analysis EDA Data Analysis Data Analysis 52

Dataconomy

JUNE 29, 2023

Python machine learning packages have emerged as the go-to choice for implementing and working with machine learning algorithms. These libraries, with their rich functionalities and comprehensive toolsets, have become the backbone of data science and machine learning practices. Why do you need Python machine learning packages?

Machine Learning 113

Machine Learning Machine Learning Deep Learning Deep Learning 113

Pickl AI

JULY 20, 2023

Top 15 Data Analytics Projects in 2023 for Beginners to Experienced Levels: Data Analytics Projects allow aspirants in the field to display their proficiency to employers and acquire job roles. Predictive Analytics Projects: Predictive analytics involves using historical data to predict future events or outcomes.

Analytics 40

Analytics Analytics Big Data Big Data 40

Pickl AI

JANUARY 29, 2024

Summary: In the tech landscape of 2024, the distinctions between Data Science and Machine Learning are pivotal. Data Science extracts insights, while Machine Learning focuses on self-learning algorithms. The collective strength of both forms the groundwork for AI and Data Science, propelling innovation. billion by 2032.

Data Science 52

Data Science ML ML Machine Learning 52

Towards AI

AUGUST 16, 2023

Last Updated on August 17, 2023 by Editorial Team Author(s): Jeff Holmes MS MSCS Originally published on Towards AI. Thus, we would choose more complex SOTA algorithms only if all simpler algorithms failed miserably. In real-world applications, the focus should be on the data-centric approach.

AI 83

AI AI Machine Learning Machine Learning 83

Dataconomy

JULY 28, 2023

In the digital age, the abundance of textual information available on the internet, particularly on platforms like Twitter, blogs, and e-commerce websites, has led to an exponential growth in unstructured data. Text data is often unstructured, making it challenging to directly apply machine learning algorithms for sentiment analysis.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Mlearning.ai

APRIL 10, 2023

With the emergence of data science and AI, clustering has allowed us to view data sets that are not easily detectable by the human eye. Thus, this type of task is very important for exploratory data analysis. 3 feature visual representation of a K-means Algorithm.

Clustering 52

Clustering Internet of Things Algorithm Machine Learning 52

ODSC - Open Data Science

FEBRUARY 24, 2023

There are also plenty of data visualization libraries available that can handle exploration like Plotly, matplotlib, D3, Apache ECharts, Bokeh, etc. In this article, we’re going to cover 11 data exploration tools that are specifically designed for exploration and analysis. Output is a fully self-contained HTML application.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

Towards AI

JULY 19, 2023

Last Updated on July 19, 2023 by Editorial Team Author(s): Anirudh Chandra Originally published on Towards AI. That post was dedicated to an exploratory data analysis while this post is geared towards building prediction models. among supervised models and k-nearest neighbors, DBSCAN, etc., among unsupervised models.

Machine Learning 40

Machine Learning Machine Learning K-nearest Neighbors Support Vector Machines 40

Towards AI

MARCH 1, 2023

Last Updated on March 14, 2023 by Editorial Team Author(s): Fares Sayah Originally published on Towards AI. Business questions to brainstorm: Since all features are anonymous, we will focus our analysis on non-anonymized features: Time, Amount How different is the amount of money used in different transaction classes?

Machine Learning 52

Machine Learning Machine Learning Python Exploratory Data Analysis 52

Pickl AI

JANUARY 3, 2024

billion in 2023 to an impressive $225.91 between 2023 and 2030. Projected salary trends for 2024 Data-driven projections Embracing the current trends in Machine Learning, the landscape is marked by the ascendancy of Deep Learning and the development of sophisticated algorithms. from 2023 to 2030.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Deep Learning 52

Ocean Protocol

JANUARY 10, 2024

Understanding trends of the past and simulating future outcomes through available data seeks to lead to better awareness, business intelligence, and policy shaping in years to come. Introduction This Data Challenge ran from November 23 to December 12, 2023, and was the last challenge of the 2023 championship season.

Data Science 52

Data Science Exploratory Data Analysis Support Vector Machines Data Analysis 52

Becoming Human

MAY 15, 2023

There is a position called Data Analyst whose work is to analyze the historical data, and from that, they will derive some KPI s (Key Performance Indicators) for making any further calls. For Data Analysis you can focus on such topics as Feature Engineering , Data Wrangling , and EDA which is also known as Exploratory Data Analysis.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

Towards AI

FEBRUARY 21, 2023

Last Updated on February 22, 2023 by Editorial Team Author(s): Fares Sayah Originally published on Towards AI. Exploratory Data Analysis In-depth EDA can be found in the full notebook: IBM HR Analytics?Employee TRAIN ==Staying Rate: 83.87%Leaving Leaving Rate: 16.13% TEST ==Staying Rate: 83.90%Leaving 0.93recall 0.98

Machine Learning 83

Machine Learning Machine Learning Python Exploratory Data Analysis 83

ODSC - Open Data Science

AUGUST 9, 2023

I consider myself fortunate to have the opportunity to speak at the upcoming ODSC APAC conference slated for the 22nd of August 2023. Attendees will be introduced to a variety of machine learning algorithms, placing a spotlight on logistic regression, a potent supervised learning technique for solving binary classification problems.

Machine Learning 52

Machine Learning Machine Learning AWS Big Data 52

PyImageSearch

JANUARY 23, 2023

In this tutorial, you will learn the magic behind the critically acclaimed algorithm: XGBoost. But all of these algorithms, despite having a strong mathematical foundation, have some flaws or the other. Applying XGBoost to Our Dataset Next, we will do some exploratory data analysis and prepare the data for feeding the model.

Deep Learning 107

Deep Learning Deep Learning Algorithm Decision Trees 107

Snorkel AI

JULY 3, 2023

It has always amazed me how much time the data cleaning portion of my job takes to complete. So today I’m going to talk about an approach I often use to help remedy the time burden: reusable data cleaning pipelines. While there are a lot of benefits to using data pipelines, they’re not without limitations.

Data Pipeline 52

Data Pipeline Exploratory Data Analysis Data Scientist Machine Learning 52

Snorkel AI

JULY 3, 2023

It has always amazed me how much time the data cleaning portion of my job takes to complete. So today I’m going to talk about an approach I often use to help remedy the time burden: reusable data cleaning pipelines. While there are a lot of benefits to using data pipelines, they’re not without limitations.

Data Pipeline 52

Data Pipeline Exploratory Data Analysis Data Scientist Machine Learning 52

PyImageSearch

DECEMBER 12, 2022

With the completion of AdaBoost, we are one more step closer to understanding the XGBoost algorithm. load the data in the form of a csv estData = pd.read_csv("/content/realtor-data.csv") # drop NaN values from the dataset estData = estData.dropna() # split the labels and remove non-numeric data y = estData["price"].values

Decision Trees 52

Decision Trees Deep Learning Deep Learning Exploratory Data Analysis 52