Pickl AI

JULY 20, 2023

Descriptive Analytics Projects: These projects focus on summarizing historical data to gain insights into past trends and patterns. Examples include generating reports, dashboards, and data visualizations to understand business performance, customer behavior, or operational efficiency.

Analytics 40

Analytics Analytics Big Data Big Data 40

Pickl AI

JULY 10, 2023

It provides functions for descriptive statistics, hypothesis testing, regression analysis, time series analysis, survival analysis, and more. These packages allow for text preprocessing, sentiment analysis, topic modeling, and document classification.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Flipboard

MARCH 22, 2023

Create a new data flow To create your data flow, complete the following steps: On the SageMaker console, choose Amazon SageMaker Studio in the navigation pane. On the Studio Home page, choose Import & prepare data visually. Alternatively, on the File drop-down, choose New , then choose SageMaker Data Wrangler Flow.

AWS 123

AWS Data Preparation Azure ML 123

Pickl AI

SEPTEMBER 5, 2024

Azure Tools Knowledge: Familiarity with Azure Machine Learning , Azure Databricks, and Azure Synapse Analytics. Statistical and Machine Learning Expertise: Understanding statistical analysis, Machine Learning algorithms , and model evaluation. Start by setting up your own Azure account and experimenting with various services.

Azure 52

Azure Data Scientist Machine Learning Machine Learning 52

Pickl AI

JANUARY 12, 2023

These include the following: Introduction to Data Science Introduction to Python SQL for Data Analysis Statistics Data Visualization with Tableau 5. Data Science Program for working professionals by Pickl.AI Another popular Data Science course for working professionals is offered by Pickl.AI.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52