Smart Data Collective

MARCH 9, 2021

It’s able to support significantly larger datasets than traditional spreadsheets, allows you to do machine learning and AI analytics, and provides infinite opportunities for customization. They also have led to a number of opportunities with predictive analytics. Easy, Powerful, and Flexible. So, what is Mito?

Data Science 138

Data Science Power BI EDA Python 138

Data Science Blog

FEBRUARY 23, 2023

And annotations would be an effective way for exploratory data analysis (EDA) , so I recommend you to immediately start annotating about 10 random samples at any rate. In that case, you tasks have your own problem, and you would have to be careful about your EDA, data cleaning, and labeling. “Shut up and annotate!”

Supervised Learning 264

Supervised Learning Machine Learning Machine Learning Deep Learning 264

Women in Big Data

APRIL 17, 2024

Learning Objectives Recap: Paradigms in Data Science: We explored the two main paradigms in data science: descriptive analytics (understanding what happened in the past) and predictive analytics (using models to forecast future outcomes).

Exploratory Data Analysis 52

Exploratory Data Analysis EDA Machine Learning Machine Learning 52

Ocean Protocol

SEPTEMBER 29, 2023

AI / ML offers tools to give a competitive edge in predictive analytics, business intelligence, and performance metrics. In the link above, you will find great detail in data visualization, script explanation, use of neural networks, and several different iterations of predictive analytics for each category of NFL player.

Cross Validation 59

Cross Validation Predictive Analytics Exploratory Data Analysis EDA 59

Towards AI

JULY 19, 2023

This is part 2, and you will learn how to do sales prediction using Time Series. Please refer to Part 1– to understand what is Sales Prediction/Forecasting, the Basic concepts of Time series modeling, and EDA I’m working on Part 3 where I will be implementing Deep Learning and Part 4 where I will be implementing a supervised ML model.

Cross Validation 98

Cross Validation Clustering EDA Data Preparation 98

Ocean Protocol

DECEMBER 12, 2023

Inside these pages covered a spectrum of topics from Exploratory Data Analysis (EDA), to the impact of veCRV on the protocol's governance and machine learning models. Part 1: Exploratory Data Analysis (EDA) MEV Over 25,000 MEV-related transactions have been executed through Curve. This is better said as game players game the game.

Exploratory Data Analysis 52

Exploratory Data Analysis Predictive Analytics Data Analysis Data Analysis 52

Pickl AI

OCTOBER 14, 2024

Exploratory Data Analysis (EDA) Exploratory Data Analysis (EDA) is an approach to analyse datasets to uncover patterns, anomalies, or relationships. The primary purpose of EDA is to explore the data without any preconceived notions or hypotheses. Clustering: Grouping similar data points to identify segments within the data.

Data Analysis 52

Data Analysis Data Analysis EDA Data Mining 52