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Data Science & Machine Learning | Class 10 | Feature Engineering Part 2

𝗪𝗲𝗹𝗰𝗼𝗺𝗲 𝘁𝗼 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴

This is the 10th live class of our completely hands-on and practical Data Science & Machine Learning programme.

𝗧𝗼𝗽𝗶𝗰 𝗖𝗼𝘃𝗲𝗿𝗲𝗱 𝗶𝗻 𝘁𝗵𝗶𝘀 𝗖𝗹𝗮𝘀𝘀:

✔ Feature Engineering — Part 2

📚 𝗜𝗻 𝘁𝗵𝗶𝘀 𝘃𝗶𝗱𝗲𝗼, 𝗜 𝗱𝗶𝘀𝗰𝘂𝘀𝘀𝗲𝗱:

✔ Review of Feature Engineering Concepts
✔ Handling Rare Categories
✔ Frequency Encoding
✔ Label Encoding
✔ Feature Transformation Techniques
✔ Practical Feature Engineering Workflow
✔ Python Implementation with Real Dataset
✔ Hands-on Step-by-Step Practice

𝗧𝗵𝗶𝘀 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗲 𝗰𝗼𝘃𝗲𝗿𝘀:

✔ Python for Data Science
✔ Data Cleaning
✔ Data Analysis
✔ Data Preprocessing
✔ Exploratory Data Analysis (EDA)
✔ Data Visualization
✔ Statistical Analysis
✔ Feature Engineering
✔ Machine Learning Models
✔ Advanced Machine Learning Models
✔ Model Evaluation
✔ Real-world Machine Learning Projects
✔ Model Deployment
✔ Practical Workflow & Guidance
✔ Hands-on Learning Style
✔ Live Step-by-Step Learning System

🎯 𝗧𝗵𝗶𝘀 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗲 𝗶𝘀 𝗱𝗲𝘀𝗶𝗴𝗻𝗲𝗱 𝘄𝗶𝘁𝗵 𝗮 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝗽𝗿𝗼𝗷𝗲𝗰𝘁-𝗯𝗮𝘀𝗲𝗱 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝘄𝗵𝗲𝗿𝗲 𝗹𝗲𝗮𝗿𝗻𝗲𝗿𝘀 𝘄𝗶𝗹𝗹 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝘁𝗵𝗲 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 — 𝗳𝗿𝗼𝗺 𝗿𝗮𝘄 𝗱𝗮𝘁𝗮 𝘁𝗼 𝗺𝗼𝗱𝗲𝗹 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁.

🖥️ 𝗖𝗼𝗻𝗱𝘂𝗰𝘁𝗲𝗱 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗭𝗼𝗼𝗺 𝗟𝗶𝘃𝗲 𝗖𝗹𝗮𝘀𝘀

📩 𝗙𝗼𝗿 𝗮𝗱𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗼𝗿 𝗰𝗼𝘂𝗿𝘀𝗲 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻:

WhatsApp: 01922232000
Email: saiful.bfri@gmail.com

🔔 𝗦𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗰𝗼𝗻𝘁𝗲𝗻𝘁.

#DataScience
#MachineLearning
#FeatureEngineering
#FeatureEngineeringPart2
#FeatureEncoding
#OneHotEncoding
#LabelEncoding
#FrequencyEncoding
#DataPreprocessing
#FeatureTransformation
#MachineLearningCourse
#DataScienceCourse
#Python
#DataAnalytics
#AI
#DataScienceTraining
#HandsOnLearning
#DataScienceBD
#MachineLearningTraining
#DataAndAIcareerBD

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