Data Science Dojo

JANUARY 22, 2023

In this blog, we will discuss exploratory data analysis, also known as EDA, and why it is important. We will also be sharing code snippets so you can try out different analysis techniques yourself. EDA is an iterative process of conglomerative activities which include data cleaning, manipulation and visualization.

Exploratory Data Analysis 370

Exploratory Data Analysis EDA Data Analysis Data Analysis 370

Data Science Dojo

JULY 5, 2023

For data scrapping a variety of sources, such as online databases, sensor data, or social media. Cleaning data: Once the data has been gathered, it needs to be cleaned. This involves removing any errors or inconsistencies in the data.

Machine Learning 195

Machine Learning Machine Learning EDA Exploratory Data Analysis 195

Pickl AI

MAY 30, 2024

Overview of Typical Tasks and Responsibilities in Data Science As a Data Scientist, your daily tasks and responsibilities will encompass many activities. You will collect and clean data from multiple sources, ensuring it is suitable for analysis. Data Cleaning Data cleaning is crucial for data integrity.

Data Analysis 52

Data Analysis Data Analysis Data Science Exploratory Data Analysis 52

Pickl AI

FEBRUARY 27, 2023

Working with inaccurate or poor quality data may result in flawed outcomes. Hence it is essential to review the data and ensure its quality before beginning the analysis process. Ignoring Data Cleaning Data cleansing is an important step to correct errors and removes duplication of data.

Data Analyst 52

Data Analyst Exploratory Data Analysis Data Scientist EDA 52

Dataconomy

JULY 28, 2023

Data scientists must decide on appropriate strategies to handle missing values, such as imputation with mean or median values or removing instances with missing data. The choice of approach depends on the impact of missing data on the overall dataset and the specific analysis or model being used.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Mlearning.ai

APRIL 25, 2023

In this blog, we’ll be using Python to perform exploratory data analysis (EDA) on a Netflix dataset that we’ve found on Kaggle. We’ll be using various Python libraries, including Pandas, Matplotlib, Seaborn, and Plotly, to visualize and analyze the data. The type column tells us if it is a TV show or a movie.

Data Analysis 52

Data Analysis Data Analysis Python Exploratory Data Analysis 52

Dataconomy

AUGUST 16, 2023

” The answer: they craft predictive models that illuminate the future ( Image credit ) Data collection and cleaning : Data scientists kick off their journey by embarking on a digital excavation, unearthing raw data from the digital landscape.

Data Scientist 172

Data Scientist Data Science Machine Learning Machine Learning 172