Data Preprocessing: How to process data effectively to build ML Models | Hindi | VIEH Group

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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
πŸ“– Data Manipulation
πŸ“– Data Extraction
πŸ“– Object Building
πŸ“– Standardization
πŸ“– Normalization
πŸ“– Encoding Categorical Variables
πŸ“– Vectorization
πŸ“– Data Splitting
πŸ“– Model Making
πŸ“– 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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00:00​ Introduction
01:11​ 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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