Welcome to our latest video where we unveil a groundbreaking AI assistant designed to supercharge your data analysis and machine learning workflows!
With this library, you can interact with datasets and accomplish tasks related to data analysis, feature engineering, data transformation, data visualization, and machine learning. Whether you’re a beginner or an experienced data analyst, scientist, or engineer, this library can be a game changer for you.
You will learn follows:
🛠️ Can you display the column names of a DataFrame in dictionary format?
🛠️ Can you display discrete columns and continuous data?
🛠️ How do I find unique sub-categories and their counts?
🛠️ Which state holds the highest sales, and how can I display the total sales?
🛠️ What is the distribution of segments in sales?
🛠️ What is the top-selling sub-category?
🛠️ Which state has the highest number of sales?
🛠️ How can I learn data analysis using Sketch?
🛠️ How do I perform summary statistics and handle null values using the Pandas Sketch package?
🛠️ How can we handle outliers in a dataset using the Pandas Sketch package?
🛠️ How do I perform feature engineering and data transformation using Pandas Sketch?
🛠️ What is the Central Limit Theorem?
🛠️ What is ANOVA, and what steps do we need to follow to apply it?
🛠️ What is the difference between a z-test and an f-test?
🛠️ Can you provide a list of statistics topics that are helpful in data analysis and machine learning?
🛠️ Examples 😊
In this comprehensive guide, we introduce you to the powerful combination of Python Pandas, a versatile data manipulation library, and the Sketch Library AI Assistant, a cutting-edge tool crafted to streamline your analytical processes.
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12 мар 2024
