“Intro to AI Libraries (NumPy, Pandas, Scikit-learn)”#Python #AI #MachineLearning #NumPy #Pandas

Intro: “Intro to AI Libraries (NumPy, Pandas, Scikit-learn)” “NumPy 🧮 | Pandas 🐼 | Scikit-learn 🤖” NumPy Section: “NumPy = Numerical Python” arr = np.array([1, 2, 3, 4]) print(arr.mean()) Pandas Section: “Pandas = Data Analysis Made Easy 🐼” data = pd.read_csv('data.csv') print(data.head()) Scikit-learn Section: “Scikit-learn = Machine Learning Made Simple 🤖” model = LinearRegression() model.fit(X, y) Why They Matter: “NumPy + Pandas + Scikit-learn = AI Power Trio ⚡” Outro: “✅ Like 👍 | 💬 Comment | 🔔 Subscribe for more Python AI videos!” “Next Video → AI Project with Python 💻”Learn the three essential Python libraries used in Artificial Intelligence: 🧮 NumPy – The foundation for numerical computing 🐼 Pandas – Easy data handling and analysis 🤖 Scikit-learn – Build and train Machine Learning models In this video, you’ll see simple examples, understand how these libraries work together, and get started on your AI journey. 💡 Topics Covered: NumPy: Arrays, math operations, and reshaping Pandas: DataFrames, CSV files, and data exploration Scikit-learn: Linear regression example, model training, and predictions 👍 Like this video if you’re starting your AI journey! 💬 Comment below which library you want to explore more. 🔔 Subscribe for more Python AI tutorials!#Python #AI #MachineLearning #NumPy #Pandas #ScikitLearn #PythonForBeginners #ArtificialIntelligence #DataScience #PythonAI