Data Science Dojo

AUGUST 28, 2023

Some projects may necessitate a comprehensive LLMOps approach, spanning tasks from data preparation to pipeline production. Exploratory Data Analysis (EDA) Data collection: The first step in LLMOps is to collect the data that will be used to train the LLM.

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Exploratory Data Analysis Data Preparation Machine Learning Machine Learning 195

Towards AI

DECEMBER 8, 2023

Last Updated on December 11, 2023 by Editorial Team Author(s): Kirill Lepchenkov Originally published on Towards AI. Sketch is a PyPI package that brings the power of OpenAI API to the traditional exploratory data analysis with Pandas and Jupyter.

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Exploratory Data Analysis Data Analysis Data Analysis AI 121

Becoming Human

MAY 15, 2023

Data Science is a popular as well as vast field; till date, there are a lot of opportunities in this field, and most people, whether they are working professionals or students, everyone want a transition in data science because of its scope. How much to learn? What to do next?

Data Science 75

Data Science Machine Learning Machine Learning Database 75

Dataconomy

MAY 16, 2023

Machine learning engineer vs data scientist: two distinct roles with overlapping expertise, each essential in unlocking the power of data-driven insights. As businesses strive to stay competitive and make data-driven decisions, the roles of machine learning engineers and data scientists have gained prominence.

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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.

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Data Science ML ML Machine Learning 52

Towards AI

FEBRUARY 25, 2023

Last Updated on March 1, 2023 by Editorial Team Author(s): Fares Sayah Originally published on Towards AI. Through each exercise, you’ll learn important data science skills as well as “best practices” for using pandas. Through each exercise, you’ll learn important data science skills as well as “best practices” for using pandas.

Data Analysis 98

Data Analysis Data Analysis Exploratory Data Analysis Data Science 98

ODSC - Open Data Science

OCTOBER 18, 2023

Many companies are now utilizing data science and machine learning , but there’s still a lot of room for improvement in terms of ROI. To find out, we’ve taken some of the upcoming tutorials and workshops from ODSC West 2023 and let the experts via their topics guide us toward building better machine learning.

Machine Learning 52

Machine Learning Machine Learning Clustering Data Science 52

Towards AI

OCTOBER 31, 2023

Last Updated on November 1, 2023 by Editorial Team Author(s): Mirza Anandita Originally published on Towards AI. Enhancing The Robustness of Regression Model with Time-Series Analysis — Part 1 A case study on Singapore’s HDB resale prices. Therefore, below is the monthly average price of HDB flats from January 2017 to August 2023.

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Exploratory Data Analysis Tableau Data Visualization Data Analysis 116

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.

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Exploratory Data Analysis Predictive Analytics Data Analysis Data Analysis 52

ODSC - Open Data Science

APRIL 29, 2023

Check out more of the talks and workshops from industry-leading data science and AI organizations coming to ODSC East 2023 below. Data Science Software Acceleration at the Edge Audrey Reznik Guidera｜Sr. You can also get data science training on-demand wherever you are with our Ai+ Training platform.

Data Science 52

Data Science Exploratory Data Analysis AI AI 52

Dataconomy

JUNE 29, 2023

These libraries, with their rich functionalities and comprehensive toolsets, have become the backbone of data science and machine learning practices. What are the best Python machine learning packages as of 2023? As of 2023, there are several widely used and highly regarded Python machine learning packages available.

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Machine Learning Machine Learning Deep Learning Deep Learning 113

Dataconomy

JULY 28, 2023

It ensures that the data used in analysis or modeling is comprehensive and comprehensive. Integration also helps avoid duplication and redundancy of data, providing a comprehensive view of the information. EDA provides insights into the data distribution and informs the selection of appropriate preprocessing techniques.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Ocean Protocol

SEPTEMBER 29, 2023

This data challenge took NFL player performance data and fantasy points from the last 6 seasons to calculate forecasted points to be scored in the 2024 NFL season that began Sept. Do you think other sports entertainment industries can benefit from predictive analytics brought through by a data challenge with Ocean Protocol?

Cross Validation 59

Cross Validation Predictive Analytics Exploratory Data Analysis EDA 59

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

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.

EDA 45

EDA Exploratory Data Analysis Hypothesis Testing Data Science 45

Ocean Protocol

FEBRUARY 1, 2024

We will only use 1 airport for this data challenge, though METAR is a standard score updated at each airport. The data we use for this challenge is Miami's historical METAR logs from 2014–2023. Their primary objective is to develop advanced models that accurately predict future weather conditions at KMIA (Miami Airport).

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Exploratory Data Analysis Data Science Cross Validation Machine Learning 52

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. Kaggle datasets) and use Python’s Pandas library to perform data cleaning, data wrangling, and exploratory data analysis (EDA).

Analytics 40

Analytics Analytics Big Data Big Data 40

Iguazio

DECEMBER 14, 2023

Who This Book Is For This book is for practitioners in charge of building, managing, maintaining, and operationalizing the ML process end to end: Data science / AI / ML leaders: Heads of Data Science, VPs of Advanced Analytics, AI Lead etc. The book contains a full chapter dedicated to generative AI. Key Takeaways 1.

ML 52

ML ML Data Science Data Preparation 52

ODSC - Open Data Science

AUGUST 9, 2023

In the unceasingly dynamic arena of data science, discerning and applying the right instruments can significantly shape the outcomes of your machine learning initiatives. A cordial greeting to all data science enthusiasts! You can also get data science training on-demand wherever you are with our Ai+ Training platform.

Machine Learning 52

Machine Learning Machine Learning AWS Big Data 52

phData

MARCH 21, 2023

Once databases are added to your Snowflake account, they can be explored in Hex with the Data sources tab. Exploratory Data Analysis with Hex and Snowpark Using the Snowpark dataframe API, we can quickly explore the data. Within this function we can use any of our favorite data science packages.

Machine Learning 52

Machine Learning Machine Learning Database ML 52

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. Retrieved April 9, 2023, from [link] Lapegna M, Mele V, Romano D. 2023; 12(7):1689.

Clustering 52

Clustering Internet of Things Algorithm Machine Learning 52

Ocean Protocol

NOVEMBER 21, 2023

Objectives The challenge embraced several data analysis dimensions: from data cleaning and exploratory data analysis (EDA) to insightful data visualization and predictive modeling. CTA View Ocean Protocol’s past and active data challenges, as well as the 2023 leaderboard here.

Data Analysis 59

Data Analysis Data Analysis EDA Exploratory Data Analysis 59

Mlearning.ai

MARCH 26, 2023

Well, when I look at my articles that I have shared, I am sharing my first article in 2023 with you. The year 2023 has not started very productively for me, and it cannot be said that it has started well for my country. Afterwards, we will visualize the data we have obtained on the map using the Heatmap.

Python 52

Python Exploratory Data Analysis Data Analysis Data Analysis 52

Ocean Protocol

JANUARY 10, 2024

This data challenge used carbon emission rates sorted by each country to prove or debunk common climate change assumptions with data science. 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.

Data Science 52

Data Science Exploratory Data Analysis Support Vector Machines Data Analysis 52

Towards AI

AUGUST 27, 2023

Last Updated on August 28, 2023 by Editorial Team Author(s): Shivamshinde Originally published on Towards AI. This article will explain how to identify duplicate records in the data and, the different ways to deal with the problem of having duplicate records. on Unsplash Why the presence of duplicate records in data is a problem?

Data Analysis 98

Data Analysis Data Analysis Exploratory Data Analysis AI 98

Mlearning.ai

FEBRUARY 2, 2023

AWS ML Specialty certification tests the whole life cycle of a Data Science project. As a Data Scientist, I have worked with the following services — S3, AWS Sagemaker, and Redshift. I took AWS Certified Machine Learning Specialty 2023 — Hands On! So this felt like the best time to prepare and take the exam.

Machine Learning 52

Machine Learning Machine Learning AWS ML 52

Snorkel AI

JULY 3, 2023

Because of this, I’m always looking for ways to automate and improve our data pipelines. Data cleaning pipelines reduce the amount of time it takes to clean your data and can be shared and reused for different data science projects. I think it’s great for everybody to have data science knowledge that way.

Data Pipeline 52

Data Pipeline Exploratory Data Analysis Data Scientist Machine Learning 52

Snorkel AI

JULY 3, 2023

Because of this, I’m always looking for ways to automate and improve our data pipelines. Data cleaning pipelines reduce the amount of time it takes to clean your data and can be shared and reused for different data science projects. I think it’s great for everybody to have data science knowledge that way.

Data Pipeline 52

Data Pipeline Exploratory Data Analysis Data Scientist Machine Learning 52

The MLOps Blog

OCTOBER 20, 2023

Jupyter notebooks have been one of the most controversial tools in the data science community. Nevertheless, many data scientists will agree that they can be really valuable – if used well. I’ll show you best practices for using Jupyter Notebooks for exploratory data analysis.

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SQL Database Data Scientist Python 52

Snorkel AI

MAY 12, 2023

Three experts from Capital One ’s data science team spoke as a panel at our Future of Data-Centric AI conference in 2022. Please welcome to the stage, Senior Director of Applied ML and Research, Bayan Bruss; Director of Data Science, Erin Babinski; and Head of Data and Machine Learning, Kishore Mosaliganti.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Snorkel AI

MAY 12, 2023

Three experts from Capital One ’s data science team spoke as a panel at our Future of Data-Centric AI conference in 2022. Please welcome to the stage, Senior Director of Applied ML and Research, Bayan Bruss; Director of Data Science, Erin Babinski; and Head of Data and Machine Learning, Kishore Mosaliganti.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

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.

Machine Learning 40

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