Mlearning.ai

MARCH 15, 2023

Data storage : Store the data in a Snowflake data warehouse by creating a data pipe between AWS and Snowflake. Data Extraction, Preprocessing & EDA : Extract & Pre-process the data using Python and perform basic Exploratory Data Analysis. The data is in good shape.

Python 52

Python AWS Exploratory Data Analysis Machine Learning 52

Mlearning.ai

JANUARY 29, 2024

Food and Drug Administration (FDA) has a database called FDA Adverse Event Reporting System (FAERS). FAERS is a database that contains adverse event reports, medication error reports and product quality complaints resulting in adverse events that were submitted to FDA.

Decision Trees 52

Decision Trees Data Science Exploratory Data Analysis Data Analysis 52

Pickl AI

JULY 12, 2024

Web Scraping : Extracting data from websites and online sources. Sensor Data: Capturing real-time data from IoT devices or sensors. Public Datasets: Utilising publicly available datasets from repositories like Kaggle or government databases.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

Pickl AI

APRIL 26, 2024

SQL stands for Structured Query Language, essential for querying and manipulating data stored in relational databases. The SELECT statement retrieves data from a database, while SELECT DISTINCT eliminates duplicate rows from the result set. Explain the difference between SQL’s SELECT and SELECT DISTINCT statements.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

DECEMBER 16, 2024

Step 2: Data Gathering Collect relevant historical data that will be used for forecasting. This step includes: Identifying Data Sources: Determine where data will be sourced from (e.g., databases, APIs, CSV files). Making Data Stationary: Many forecasting models assume stationarity.

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 12, 2024

Key Components of Data Science Data Science consists of several key components that work together to extract meaningful insights from data: Data Collection: This involves gathering relevant data from various sources, such as databases, APIs, and web scraping.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52