Ocean Protocol

SEPTEMBER 20, 2023

This challenge asked participants to gather their own data on their favorite DeFi protocol. From there, participants were asked to conduct exploratory data analysis, explore recommendations to the protocol, and dive into key metrics and user retention rates that correlate and precede the success of a given protocol.

Clustering 98

Clustering Exploratory Data Analysis Data Scientist Data Analysis 98

Mlearning.ai

MAY 23, 2023

Answering one of the most common questions I get asked as a Senior Data Scientist — What skills and educational background are necessary to become a data scientist? Photo by Eunice Lituañas on Unsplash To become a data scientist, a combination of technical skills and educational background is typically required.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

DataRobot Blog

NOVEMBER 3, 2022

Data scientists have used the DataRobot AI Cloud platform to build time series models for several years. Recently, new forecasting features and an improved integration with Google BigQuery have empowered data scientists to build models with greater speed, accuracy, and confidence. Forecasting the future is difficult.

Clustering 52

Clustering Data Scientist Exploratory Data Analysis AI 52

Pickl AI

MAY 30, 2024

It combines elements of statistics, mathematics, computer science, and domain expertise to extract meaningful patterns from large volumes of data. Role of Data Scientists in Modern Industries Data Scientists drive innovation and competitiveness across industries in today’s fast-paced digital world.

Data Analysis 52

Data Analysis Data Analysis Data Science Exploratory Data Analysis 52

Dataconomy

JULY 28, 2023

Data preprocessing ensures the removal of incorrect, incomplete, and inaccurate data from datasets, leading to the creation of accurate and useful datasets for analysis ( Image Credit ) Data completeness One of the primary requirements for data preprocessing is ensuring that the dataset is complete, with minimal missing values.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Pickl AI

AUGUST 27, 2024

Discover the reasons behind Python’s dominance in data analysis, from its user-friendly syntax and extensive libraries to its scalability and community support, making it the go-to language for data scientists and analysts worldwide. It provides tools for classification, regression, clustering, and more.

Data Analysis 52

Data Analysis Data Analysis Python Data Analyst 52

Pickl AI

JULY 25, 2023

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. Role of Data Scientists Data Scientists are the architects of data analysis.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

JUNE 12, 2023

With the help of Tableau, organisations have been able to mine and gather actionable insights from granular sources of data. Tableau can help Data Scientists generate graphs, charts, maps and data-driven stories, etc for purpose of visualisation and analysing data.

Tableau 52

Tableau Data Science Data Scientist Data Analysis 52

ODSC - Open Data Science

OCTOBER 18, 2023

Bridging the Interpretability Gap in Customer Segmentation Evie Fowler | Senior Data Scientist | Fulcrum Analytics Historically, there have been two main approaches to segmentation: rules-based and machine learning-driven. It continues with the selection of a clustering algorithm and the fine-tuning of a model to create clusters.

Machine Learning 52

Machine Learning Machine Learning Clustering Data Science 52

Pickl AI

JULY 10, 2023

The programming language can handle Big Data and perform effective data analysis and statistical modelling. R allows you to conduct statistical analysis and offers capabilities of statistical and graphical representation. How is R Used in Data Science? It is a Data Scientist’s best friend.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

JULY 18, 2023

Dealing with large datasets: With the exponential growth of data in various industries, the ability to handle and extract insights from large datasets has become crucial. Data science equips you with the tools and techniques to manage big data, perform exploratory data analysis, and extract meaningful information from complex datasets.

Computer Science 52

Computer Science Computer Science Data Science Machine Learning 52

Ocean Protocol

SEPTEMBER 9, 2024

F1 :: 2024 Strategy Analysis Poster ‘The Formula 1 Racing Challenge’ challenges participants to analyze race strategies during the 2024 season. They will work with lap-by-lap data to assess how pit stop timing, tire selection, and stint management influence race performance. How to Participate Are you ready to join us on this quest?

EDA 45

EDA Exploratory Data Analysis Hypothesis Testing Data Science 45

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.

Data Analysis 52

Data Analysis Data Analysis EDA Data Mining 52

Pickl AI

JULY 12, 2024

Data Normalization and Standardization: Scaling numerical data to a standard range to ensure fairness in model training. Exploratory Data Analysis (EDA) EDA is a crucial preliminary step in understanding the characteristics of the dataset.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

Pickl AI

OCTOBER 9, 2024

Plotly allows developers to embed interactive features such as zooming, panning, and hover effects directly into the plots, making it ideal for Exploratory Data Analysis and dynamic reports. Bar Charts Bar charts help compare categorical data across different groups.

Python 52

Python Exploratory Data Analysis Data Analysis Data Analysis 52

Pickl AI

FEBRUARY 12, 2024

Data Science interviews are pivotal moments in the career trajectory of any aspiring data scientist. Having the knowledge about the data science interview questions will help you crack the interview. Clustering algorithms such as K-means and hierarchical clustering are examples of unsupervised learning techniques.

Data Science 52

Data Science Cross Validation Machine Learning Machine Learning 52

Becoming Human

MAY 15, 2023

Note : Now, Start joining Data Science communities on social media platforms. These communities will help you to be updated in the field, because there are some experienced data scientists posting the stuff, or you can talk with them so they will also guide you in your journey.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

Pickl AI

APRIL 26, 2024

I would perform exploratory data analysis to understand the distribution of customer transactions and identify potential segments. Then, I would use clustering techniques such as k-means or hierarchical clustering to group customers based on similarities in their purchasing behaviour. What approach would you take?

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Mlearning.ai

FEBRUARY 28, 2023

As a data scientist at Cars4U, I had to come up with a pricing model that can effectively predict the price of used cars and can help the business in devising profitable strategies using differential pricing. In this analysis, I: provided summary statistics and exploratory data analysis of the data.

Python 52

Python EDA Exploratory Data Analysis Data Analysis 52

Pickl AI

SEPTEMBER 12, 2024

Data Science is the art and science of extracting valuable information from data. It encompasses data collection, cleaning, analysis, and interpretation to uncover patterns, trends, and insights that can drive decision-making and innovation.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Heartbeat

SEPTEMBER 28, 2023

To address this challenge, data scientists harness the power of machine learning to predict customer churn and develop strategies for customer retention. Continuous Experiment Tracking with Comet ML Comet ML is a versatile tool that helps data scientists optimize machine learning experiments.

Machine Learning 52

Machine Learning Machine Learning Support Vector Machines ML 52

DataRobot Blog

DECEMBER 20, 2022

You can understand the data and model’s behavior at any time. Once you use a training dataset, and after the Exploratory Data Analysis, DataRobot flags any data quality issues and, if significant issues are spotlighted, will automatically handle them in the modeling stage. Rapid Modeling with DataRobot AutoML.

AI 59

AI AI Cross Validation Machine Learning 59

DagsHub

SEPTEMBER 16, 2024

Visualization is crucial to any machine learning project to understand complex data. It is a powerful tool that illuminates patterns, trends, and anomalies, enabling data scientists and stakeholders to make informed decisions. It provides tools and services that help data scientists manage, track, and deploy their models.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

DrivenData Labs

DECEMBER 7, 2023

Solvers submitted a wide range of methodologies to this end, including using open-source and third party LLMs (GPT, LLaMA), clustering (DBSCAN, K-Means), dimensionality reduction (PCA), topic modeling (LDA, BERT), sentence transformers, semantic search, named entity recognition, and more. and DistilBERT. What motivated you to participate? :

Natural Language Processing 130

Natural Language Processing Clustering Data Science Data Analysis 130