09. Missing Data & Feature Engineering | Data Science with Python

Veröffentlicht am: 27 Juni 2026
auf dem Kanal: AI with KΛDΞR

Welcome to the Complete Data Science with Python series.

This course takes you through the complete Data Science workflow—from Python fundamentals and data collection to data cleaning, visualization, statistics, feature engineering, machine learning, and real-world projects.

You'll build everything from scratch using industry-standard Python libraries including NumPy, Pandas, Matplotlib, Seaborn, SciPy, Statsmodels, Scikit-learn, OpenCV, and Jupyter Notebook.

Whether you're a beginner, software engineer, AI enthusiast, or aspiring data scientist, this series will help you build practical skills used by professional data scientists and machine learning engineers.

In this series you'll learn
Python for Data Science
NumPy
Pandas
Data Cleaning
Data Wrangling
Exploratory Data Analysis (EDA)
Data Visualization
Statistics
Probability
Hypothesis Testing
Feature Engineering
Data Preprocessing
Missing Data Handling
Feature Scaling
Outlier Detection
Machine Learning Fundamentals
Model Evaluation
Computer Vision Basics with OpenCV
End-to-End Data Science Projects

📓 Google Colab Notebooks
https://github.com/kader-xai/ml-cours...

More Free AI & Machine Learning Courses

🎓 Machine Learning Series
   • Machine Learning Series

📘 Scikit-Learn Series
   • SciKit Learn Series

🔥 PyTorch: Build Your Own GPT
   • Pytorch : Build your own GPT

⚡ TensorFlow from Scratch
   • Tensor Flow from scratch

🤗 Hugging Face Transformers
   • Hugging Face Transformers

🧠 Neural Network Optimization
   • Neural Network Optimization

🤖 AI Agents with LangGraph
   • AI Agents with LangGraph

🛡️ XGBoost for Cyber Defense
   • XGBoost for CyberDefense

All courses include:

✅ Complete Google Colab notebooks (no setup required)

✅ Open-source source code on GitHub

✅ High-quality animations and visual explanations

✅ Real-world projects and practical examples

Browse all notebooks and source code:
https://github.com/kader-xai/ml-cours...

LinkedIn:
  / kader-xai

Auf dieser Seite können Sie das Online-Video 09. Missing Data & Feature Engineering | Data Science with Python mit der Dauer stunde minuten sekunde in guter Qualität ansehen, das der Benutzer AI with KΛDΞR 27 Juni 2026 hochgeladen hat, den Link mit Freunden und Bekannten teilen, dieses Video wurde auf Youtube bereits 7 Mal angesehen und es wurde von 1 den Zuschauern gefallen. Viel Spaß beim Betrachtenden Zuschauern gefallen!

994