Women in Big Data

APRIL 17, 2024

Exploratory Data Analysis (EDA): We unpacked the importance of EDA, the process of uncovering patterns and relationships within your data. It learns from historical data to make predictions about future events. EDA involves techniques like: Identifying different types of variables (categorical, numerical).

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AWS Machine Learning Blog

AUGUST 3, 2023

The sample application used in the preceding architecture is driven by events. An event is defined as a change in state that has recently occurred. For example, when an object gets uploaded to an Amazon Simple Storage Service (Amazon S3) bucket, Amazon S3 emits an Object Created event.

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AWS Machine Learning Blog

SEPTEMBER 12, 2023

Email classification project diagram The workflow consists of the following components: Model experimentation – Data scientists use Amazon SageMaker Studio to carry out the first steps in the data science lifecycle: exploratory data analysis (EDA), data cleaning and preparation, and building prototype models.

Data Science 128

Data Science Data Scientist AWS ML 128

Towards AI

JUNE 24, 2023

An MLOps workflow consists of a series of steps from data acquisition and feature engineering to training and deployment. else np.random.choice(states) for x in transaction_df['customer_id']]# Mark transaction as fraud if an outliertransaction_df['fraud'] = transaction_df.apply(lambda x: random.random() < 0.1

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Pickl AI

OCTOBER 14, 2024

Different approaches help organisations make sense of raw data, from simply summarising past events to predicting future outcomes. Exploratory Data Analysis (EDA) Exploratory Data Analysis (EDA) is an approach to analyse datasets to uncover patterns, anomalies, or relationships.

Data Analysis 52

Data Analysis Data Analysis EDA Data Mining 52

Heartbeat

MARCH 21, 2023

We will carry out some EDA on our dataset, and then we will log the visualizations onto the Comet experimentation website or platform. We can accomplish our EDA objectives thanks to Comet’s integration with well-known Python visualization frameworks. train.head() We also perform EDA on the test dataset. The below method .head()

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Exploratory Data Analysis EDA Machine Learning Machine Learning 59

Ocean Protocol

MARCH 11, 2024

METAR, Miami International Airport (KMIA) on March 9, 2024, at 15:00 UTC In the recently concluded data challenge hosted on Desights.ai , participants used exploratory data analysis (EDA) and advanced artificial intelligence (AI) techniques to enhance aviation weather forecasting accuracy.

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Dataconomy

AUGUST 16, 2023

These models can predict future events, classify data into categories, or uncover relationships between variables, enabling better decision-making. Exploratory Data Analysis (EDA) : Like intrepid explorers wandering through an uncharted forest, data scientists traverse the terrain of data with curiosity.

Data Scientist 172

Data Scientist Data Science Machine Learning Machine Learning 172

Pickl AI

APRIL 3, 2025

Exploratory Data Analysis (EDA): Using statistical summaries and initial visualisations (yes, visualisation plays a role within analysis!) EDA: Calculate overall churn rate. Visualisation Aids Analysis Visualisation is not just an end product; it’s a crucial tool during analysis (especially EDA).

Data Analysis 52

Data Analysis Data Analysis Data Visualization EDA 52

DrivenData Labs

APRIL 10, 2024

We take a gap year to participate in AI competitions and projects, and organize and attend events. At the time of selecting competitions, this was the most attractive in terms of sustainability, image segmentation being a new type of challenge for this team, and having a topic that would be easy to explain and visualize at events.

Deep Learning 130

Deep Learning Deep Learning Machine Learning Machine Learning 130

Pickl AI

NOVEMBER 4, 2024

Perform exploratory Data Analysis (EDA) using Pandas and visualise your findings with Matplotlib or Seaborn. Engaging in these events fosters community, providing support and motivation as you advance your Python journey for Data Science. This project helps you understand data cleaning and the importance of insights derived from data.

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Data Science Python Machine Learning Machine Learning 52

Heartbeat

FEBRUARY 8, 2023

This free, virtual event takes place over two days with 25+ speakers discussing the latest cutting-edge innovations in data science and machine learning. In order to accomplish this, we will perform some EDA on the Disneyland dataset, and then we will view the visualization on the Comet experimentation website or platform.

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Heartbeat

JANUARY 30, 2023

In order to accomplish this, we will perform some EDA on the Disneyland dataset, and then we will view the visualization on the Comet experimentation website or platform. Comet’s interoperability with well-known Python visualization frameworks enables us to achieve our EDA goals. Let’s get started! You can learn more about Comet here.

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EDA Machine Learning Machine Learning Exploratory Data Analysis 52

Heartbeat

FEBRUARY 13, 2023

It is designed to make it easy to track and monitor experiments and conduct exploratory data analysis (EDA) using popular Python visualization frameworks. Comet is an MLOps platform that offers a suite of tools for machine-learning experimentation and data analysis.

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AWS Machine Learning Blog

JULY 31, 2023

We use the model preview functionality to perform an initial EDA. He designs modern application architectures based on microservices, serverless, APIs, and event-driven patterns. He works with customers to realize their data analytics and machine learning goals through adoption of DataOps and MLOps practices and solutions.

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ML ML Data Preparation Machine Learning 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.

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Heartbeat

MARCH 22, 2023

Do you have any suggestions for next year’s event? We will carry out some EDA on our dataset, and then we will log the visualizations onto the Comet experimentation website or platform. Let us know in our Convergence Slack channel.

Natural Language Processing 40

Natural Language Processing EDA Machine Learning Machine Learning 40

Ocean Protocol

FEBRUARY 1, 2024

Challenge Overview Objective : Building upon the insights gained from Exploratory Data Analysis (EDA), participants in this data science competition will venture into hands-on, real-world artificial intelligence (AI) & machine learning (ML).

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Exploratory Data Analysis Data Science Cross Validation Machine Learning 52

Heartbeat

SEPTEMBER 28, 2023

Load and Explore Data We load the Telco Customer Churn dataset and perform exploratory data analysis (EDA). EDA is essential for gaining insights into the dataset’s characteristics and identifying any data preprocessing requirements. Experiment Tracking in CometML (Image by the Author) 2.

Machine Learning 52

Machine Learning Machine Learning Support Vector Machines ML 52

Pickl AI

DECEMBER 16, 2024

Exploratory Data Analysis (EDA): Conduct EDA to identify trends, seasonal patterns, and correlations within the dataset. This is vital for agriculture, disaster management, and event planning. Making Data Stationary: Many forecasting models assume stationarity. Visualization tools can help in understanding these aspects better.

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AI AI Machine Learning Machine Learning 52

Heartbeat

MAY 24, 2023

Create DataGrids with image data using Kangas, and load and visualize image data from hugging face Photo by Genny Dimitrakopoulou on Unsplash Visualizing data to carry out a detailed EDA, especially for image data, is critical.

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Ocean Protocol

JANUARY 10, 2024

Some of the most serious effects of global warming include rising sea levels, more extreme weather events, changes in animal and plant life, and soil health & erosion. Explain these trends, considering policy changes, economic shifts, technological advancements, or natural events that might have influenced the observed patterns.

Data Science 52

Data Science Exploratory Data Analysis Support Vector Machines Data Analysis 52

Iguazio

DECEMBER 14, 2023

Exploratory data analysis (EDA) and modeling. Create an application pipeline that accepts events or data, prepares the required model features, infers results using one or more models, and drives actions. There are 6 high-level steps in every MLOps project The 6 steps are: Initial data gathering (for exploration).

ML 52

ML ML Data Science Data Preparation 52

Pickl AI

JULY 20, 2023

Diagnostic Analytics Projects: Diagnostic analytics seeks to determine the reasons behind specific events or patterns observed in the data. 3. Predictive Analytics Projects: Predictive analytics involves using historical data to predict future events or outcomes. Root cause analysis is a typical diagnostic analytics task.

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Analytics Analytics Big Data Big Data 40

Heartbeat

FEBRUARY 6, 2024

From the above EDA, it is clear that the room's temperature, light, and CO2 levels are good occupancy indicators. The CO2 levels of the room decrease when there is no person in the room. This proves the hypothesis regarding the peaks in the CO2 graph. Therefore, we will be using these three variables for our classification model.

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Heartbeat

JANUARY 25, 2023

Now you need to perform some EDA and cleaning on the data after loading it into the notebook. EDA and Data Cleaning First, you will check the frequency of the target variable: Category. This variable denotes the type of emotions represented by the Reddit threads.

Python 52

Python Deep Learning Deep Learning ML 52

Pickl AI

SEPTEMBER 12, 2024

Exploratory Data Analysis (EDA): Analysing and visualising data to discover patterns, identify anomalies, and test hypotheses. Joint Probability: The probability of two events co-occurring, often used in Bayesian statistics and probability theory.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Heartbeat

MARCH 22, 2023

Before building our model, we will also see how we can visualize this data with Kangas as part of exploratory data analysis (EDA). In this article, let’s dive deep into the Natural Language Toolkit (NLTK) data processing concepts for NLP data.

Natural Language Processing 52

Natural Language Processing Deep Learning Deep Learning Machine Learning 52

Heartbeat

MAY 29, 2023

It is also essential to evaluate the quality of the dataset by conducting exploratory data analysis (EDA), which involves analyzing the dataset’s distribution, frequency, and diversity of text. It is therefore important to carefully plan and execute data preparation tasks to ensure the best possible performance of the machine learning model.

Machine Learning 78

Machine Learning Machine Learning Natural Language Processing Data Preparation 78

Mlearning.ai

JULY 2, 2023

It is the event of a series repeating a certain pattern at certain intervals. I finished to EDA & Time Series Analysis, I will build some ML or DL model. The series has reached peak points at certain intervals . Circularity is actually a concept similar to seasonality. resample('D').mean())

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Kaggle

JULY 29, 2020

NeuML was working on a real-time sports event tracking application, neuspo but sports along with everything else was being shut down and there were no sports to track. The early days of the effort were spent on EDA and exchanging ideas with other members of the community. How did you spend your time on this competition?

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ETL Data Scientist Data Science Machine Learning 71

Heartbeat

MARCH 13, 2023

In a real-life scenario you can expect to do more EDA, but for the sake of simplicity we’ll do just enough to get a sense of the process. We first get a snapshot of our data by visually inspecting it and also performing minimal Exploratory Data Analysis just to make this article easier to follow through.

ML 59

ML ML Exploratory Data Analysis Machine Learning 59

DrivenData Labs

DECEMBER 7, 2023

Mid-point review and challenge Q&A event. This challenge included two optional milestones to help solvers understand the challenge goals and learn how well their solution aligned with those goals, an opportunity to get feedback via a mid-point review and a Q&A event. Overall and bonus prize structure.

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AWS Machine Learning Blog

OCTOBER 11, 2024

Operational health events – including operational issues, software lifecycle notifications, and more – serve as critical inputs to cloud operations management. Inefficiencies in handling these events can lead to unplanned downtime, unnecessary costs, and revenue loss for organizations.

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