Day-21/90| The powerful Pandas🐻❄️ | AI, DS and ML complete course in Tamil
Автор: Hire Ready
Загружено: 2026-01-06
Просмотров: 524
Day 21 of your Complete AI Course in Tamil focuses on the next crucial step after loading and exploring data: basic data cleaning in Pandas. Building on Day 20 (read_csv, read_excel, info(), describe(), and dtypes), this session teaches how to handle missing values and fix incorrect data types, which is critical before training any AI or ML model.
You will first review how info() and dtypes help you detect missing values and wrong types (for example, numbers stored as strings). Then you’ll learn common techniques to deal with missing data using isna(), notna(), dropna(), and fillna(). With simple Tamil explanations, you’ll see when to drop rows/columns and when to fill missing values using mean, median, mode, or custom constants, depending on the AI problem.
Next, you’ll work with data type conversion, using astype() to convert columns into proper numeric, string, or datetime types. You’ll understand why converting a column from object to float or int is essential for model training, and how to parse dates correctly for time series or trend analysis. Simple AI-style examples will show how cleaned and correctly typed data leads to better model performance and fewer runtime errors.
By the end of Day 21 (Tamil), you will know how to spot missing/incorrect data, clean it with Pandas, and fix column types, preparing your datasets for feature engineering and modeling in upcoming lessons.
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