KDnuggets

AUGUST 7, 2019

In this tutorial, you’ll use Python and Pandas to explore a dataset and create visual distributions, identify and eliminate outliers, and uncover correlations between two datasets.

Exploratory Data Analysis 285

Exploratory Data Analysis Data Analysis Data Analysis Python 285

Towards AI

AUGUST 7, 2024

My story (The Shift from Jupyter Notebooks to VS Code) Throughout early to mid-2019, when I started my data science career, Jupyter Notebooks were my constant companions. Because of its interactive features, it’s ideal for learning and teaching, prototypes, exploratory data analysis projects, and visualizations.

Data Science 116

Data Science ML ML Data Scientist 116

Towards AI

OCTOBER 31, 2023

Exploratory Data Analysis Next, we will create visualizations to uncover some of the most important information in our data. The graph also shows that the transaction data exhibits seasonality, where around December and January, the monthly transactions usually drop.

Exploratory Data Analysis 116

Exploratory Data Analysis Tableau Data Visualization Data Analysis 116

AWS Machine Learning Blog

APRIL 6, 2023

Both the missing sales data and the limited length of historical sales data pose significant challenges in terms of model accuracy for long-term sales prediction into 2026. However, the maximum length of historical sales data (maximum length of 140 months) still posed significant challenges in terms of model accuracy.

Machine Learning 112

Machine Learning Machine Learning ML ML 112

Ocean Protocol

MAY 24, 2024

Her analytical framework led to precise findings on the predictive nature of search data on cryptocurrency values. Click here to see the report ] In her analysis, Anamaria integrated data and preparation process culminated in a comprehensive analysis of multiple cryptocurrency trends from 2019 to 2024.

EDA 59

EDA Exploratory Data Analysis Data Scientist ML 59

Mlearning.ai

FEBRUARY 28, 2023

In 2018–2019, while new car sales were recorded at 3.6 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. million units, around 4 million second-hand cars were bought and sold.

Python 52

Python EDA Exploratory Data Analysis Data Analysis 52

Pickl AI

JANUARY 3, 2024

This trajectory aligns with the findings of a LinkedIn report, ranking Machine Learning engineer as the fastest-growing job in the US in 2019. Our aim is to build a robust foundation in core Machine Learning concepts and offer hands-on experience in Exploratory Data Analysis and Feature Engineering.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Deep Learning 52