Data Preprocessing: How to process data effectively to build ML Models | Hindi | VIEH Group
Data Preprocessing is an important step to be taken when you are building a Machine Learning Model. In this video, we will be working with UFO dataset to perform preprocessing.
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WHAT WILL YOU LEARN
π Data Manipulation
π Data Extraction
π Object Building
π Standardization
π Normalization
π Encoding Categorical Variables
π Vectorization
π Data Splitting
π Model Making
π Libraries: Pandas, Numpy, Sckit-Learn
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DATASETS AND CODES
Dataset (Make sure you click on RAW and then use the link to import data): https://github.com/viehgroup/YT/blob/main/Data%20Preprocessing/ufo_data.csv
Run the code online: https://colab.research.google.com/drive/10refXtPynzTkqD5ICNUv4rnEkHQSi2xp?usp=sharing
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00:00β Introduction
01:11β Environment Setup
02:32 Step 1: Exploring Dataset
13:15 Step 2: Data Extraction
28:48 Step 3: Feature Engineering and Scaling
34:00 Step 4: Encoding Categorical Variables
44:15 Step 5: Vectorization
49:19 Step 6: Making Ideal Dataset
55:03 Step 7: Model Making
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