DrivenData Labs

AUGUST 27, 2024

We give recommendations and examples below, with instructors of college or graduate level data science or applied statistics courses in mind. Variations: For practice with data wrangling, students can find, download, and prepare data for analysis as part of the assignment. Difficulty: All skill levels.

Data Science 130

Data Science Algorithm Data Wrangling Machine Learning 130

Pickl AI

JUNE 7, 2023

How to create a Data Science Project on GitHub? Data Science being the most demanding career fields today with millions of job opportunities flooding in the market. in order to ensure that you have a great career in Data Science, one of the major requirements is to create and have a Github Data Science project.

Data Science 52

Data Science Deep Learning Deep Learning Clustering 52

Towards AI

NOVEMBER 8, 2023

Photo by Artem Beliaikin on Unsplash Recently, I worked on a prediction case study using the Kaggle Black Friday Prediction dataset, which was created six years ago and has been downloaded over 32,000 times. Let’s skip over the EDA.

EDA 124

EDA Machine Learning Machine Learning AI 124

IBM Data Science in Practice

DECEMBER 21, 2023

Data Processing and EDA (Exploratory Data Analysis) Speech synthesis services require that the data be in a JSON format. TTS app speech data output Conclusion This blog showed how you could easily use the Watson Speech Library to convert text to speech and control digital speech and pitch rates.

Exploratory Data Analysis 130

Exploratory Data Analysis EDA Python Clustering 130

Data Science Blog

FEBRUARY 23, 2023

Those researches are often conducted on easily available benchmark datasets which you can easily download, often with corresponding ground truth data (label data) necessary for training. 7, Dealing with lack of labels in a single domain In many cases, data themselves are easily available, and only annotations costs matter.

Supervised Learning 264

Supervised Learning Machine Learning Machine Learning Deep Learning 264

AWS Machine Learning Blog

JUNE 5, 2025

Legacy workflow: On-premises ML development and deployment When the data science team needed to build a new fraud detection model, the development process typically took 24 weeks. At this stage, the data science team triggers the model deploy CI/CD pipeline in GitLab to configure the endpoint in the pre-production environment.

Machine Learning 60

Machine Learning Machine Learning AWS ML 60

Ocean Protocol

SEPTEMBER 29, 2023

This report took the data set provided in the challenge, as well as external data feeds and alternative sources. 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

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. To accompany so many high-value reports, the Ocean Data Challenge team approved allowing all 5 submissions to enter the podium finish.

EDA 59

EDA Data Analysis Data Analysis Exploratory Data Analysis 59

Mlearning.ai

MARCH 4, 2023

Exploratory Data Analysis on Stock Market Data Photo by Lukas Blazek on Unsplash Exploratory Data Analysis (EDA) is a crucial step in data science projects. It helps in understanding the underlying patterns and relationships in the data. The dataset can be downloaded from Kaggle. csv') 2.

Exploratory Data Analysis 52

Exploratory Data Analysis Data Analysis Data Analysis EDA 52

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 Predictive Analytics EDA Data Analysis 52

Ocean Protocol

FEBRUARY 1, 2024

This is a unique opportunity for data people to dive into real-world data and uncover insights that could shape the future of aviation safety, understanding, airline efficiency, and pilots driving planes. These AI/ML models become invaluable tools for aviation operations and safety by harnessing the extensive historical METAR data.

Exploratory Data Analysis 52

Exploratory Data Analysis Data Science Cross Validation Machine Learning 52

Mlearning.ai

MARCH 15, 2023

Introduction Welcome Back, Let's continue with our Data Science journey to create the Stock Price Prediction web application. The scope of this article is quite big, we will exercise the core steps of data science, let's get started… Project Layout Here are the high-level steps for this project.

Python 52

Python AWS Exploratory Data Analysis EDA 52

Heartbeat

JANUARY 25, 2023

Download Dataset and Create a Virtual Environment First, you need to the download Reddit Threads dataset from Kaggle. 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.

Python 52

Python Deep Learning Deep Learning ML 52

Heartbeat

MAY 29, 2023

It is therefore important to carefully plan and execute data preparation tasks to ensure the best possible performance of the machine learning model. 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.

Machine Learning 78

Machine Learning Machine Learning Natural Language Processing Data Preparation 78

Heartbeat

MARCH 22, 2023

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

Natural Language Processing 52

Natural Language Processing Deep Learning Deep Learning Machine Learning 52