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. You have only to train a pre-trained model you downloaded just like normal supervised learning with your dataset. “Shut up and annotate!”

Supervised Learning 264

Supervised Learning Machine Learning Machine Learning Deep Learning 264

Ocean Protocol

SEPTEMBER 29, 2023

2nd Place ($1500): Goblin This report is available for download via: [link] Prediction dataset: [link] Goblin’s report differentiated from others off the bat by immediately identifying missing values in the dataset provided for this challenge.

Cross Validation 59

Cross Validation Predictive Analytics Exploratory Data Analysis EDA 59

DrivenData Labs

AUGUST 27, 2024

Variations: For practice with data wrangling, students can find, download, and prepare data for analysis as part of the assignment. On request, we can make a custom leaderboard just for your class or for different sections of your class. Difficulty: All skill levels.

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Data Science Algorithm Data Wrangling Machine Learning 130

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. The dataset, pulled from [link] comprises 585 car reviews, revealing a balanced representation between weekend and daily scores across 80 car brands.

Data Analysis 59

Data Analysis Data Analysis EDA 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. In this tutorial, we will perform EDA on the S&P 500 dataset using Python. The dataset can be downloaded from Kaggle. csv') 2. pct_change().dropna(),

Exploratory Data Analysis 52

Exploratory Data Analysis Data Analysis Data Analysis EDA 52

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

NOVEMBER 4, 2024

To get started, download the Anaconda installer from the official Anaconda website and follow the installation instructions for your operating system. Perform exploratory Data Analysis (EDA) using Pandas and visualise your findings with Matplotlib or Seaborn. Once Anaconda is installed, launch the Anaconda Navigator.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

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). You can download the dataset directly through Desights.

Exploratory Data Analysis 52

Exploratory Data Analysis Data Science Cross Validation Machine Learning 52

Mlearning.ai

MARCH 15, 2023

Data Extraction, Preprocessing & EDA & Machine Learning Model development Data collection : Automatically download the stock historical prices data in CSV format and save it to the AWS S3 bucket. Data storage : Store the data in a Snowflake data warehouse by creating a data pipe between AWS and Snowflake.

Python 52

Python AWS Exploratory Data Analysis Machine Learning 52

Mlearning.ai

AUGUST 10, 2023

Reporting Data In this section, we have to download, connect and analyze the data on PowerBI. Therefore, for the sake of brevity, we have to download the file brand_cars_dashboard.pbix from the project’s GitHub repository. Download File Once we’re in the project’s GitHub repository, we need to click on “brand_cars_dashboard.pbix”.

Business Intelligence 52

Business Intelligence Business Intelligence ETL Power BI 52

Pickl AI

JUNE 7, 2023

Using Netflix user data, you need to undertake Data Analysis for running workflows like EDA, Data Visualisation and interpretation. or greater for operations and download. The Data Science projects on Github aims to improve your skills and use libraries like Matpotlib, Seaborn and world cloud for interpreting Netflix data.

Data Science 52

Data Science Deep Learning Deep Learning Clustering 52

PyImageSearch

DECEMBER 12, 2022

Jump Right To The Downloads Section Scaling Kaggle Competitions Using XGBoost: Part 2 In the previous blog post of this series, we briefly covered concepts like decision trees and gradient boosting, before touching up on the concept of XGBoost. . Download the code! Looking for the source code to this post?

Decision Trees 52

Decision Trees Deep Learning Deep Learning Exploratory Data Analysis 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

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). First, we need to download and import the stop words that are provided by NLTK. 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. The UI can include interactive visualizations or allow users to download the output in different formats.

Machine Learning 78

Machine Learning Machine Learning Natural Language Processing Data Preparation 78