My Colab Project

📊 Data Science Analysis: Time Series, Regression & PCA

A collection of data science analyses covering exploratory data analysis, time series analysis, regression modeling, and dimensionality reduction using Python.

📌 Project Modules

Part 1 — Exploratory Data Analysis

• Data loading and preprocessing
• Summary statistics
• Missing-value analysis
• Univariate and categorical analysis
• Data visualization

Part 2 — Time Series Analysis

• Time-based data analysis
• Trend and pattern analysis
• Time series visualization
• Forecasting / time series modeling

Part 3 — Regression & PCA

• Regression analysis
• Model evaluation
• Feature relationships
• Principal Component Analysis (PCA)
• Dimensionality reduction
• Visualization of principal components

🛠️ Technologies Used

• Python
• Pandas
• NumPy
• Matplotlib
• Seaborn
• Scikit-learn
• Jupyter Notebook / Google Colab

📂 Project Structure

├── 22BDS0059.ipynb ├── datasets/ └── README.md