Data Science with Python

L1 Python Setup L2 Data Structures L3 Control Flow L4 Functions L5 DataFrames Introduction L6 Selection Filtering L7 Missing Data L8 Basic Operations L9 GroupBy Operations L10 Merging Joining L11 NumPy Basics L12 Time Series L13 Descriptive Statistics L14 Distributions L15 Hypothesis Testing L16 Correlation L17 Matplotlib Basics L18 Seaborn Plots L19 Multi Panel Figures L20 Data Storytelling L21 Linear Regression L22 Regularization L23 Regression Metrics L24 Factor Models L25 Logistic Regression L26 Decision Trees L27 Classification Metrics L28 Class Imbalance L29 KMeans Clustering L30 Hierarchical Clustering L31 PCA L32 ML Pipeline L33 Perceptron L34 MLP Activations L35 Backpropagation L36 Overfitting Prevention L37 Text Preprocessing L38 BOW TFIDF L39 Word Embeddings L40 Sentiment Analysis L41 Model Serialization L42 FastAPI L43 Streamlit Dashboards L44 Cloud Deployment L45 Project Work 1 L46 Project Work 2 L47 ML Ethics L48 Final Presentations