Data Handling & Visualization

Module 2 – 16 Lessons | TensorSpeed AI/ML Path

Learn to load, clean, explore, and visualize real datasets.
The #1 skill used in 80% of machine learning projects.

• Lesson 1: Lesson 1: Introduction to Data in ML & Why Visualization Matters
• Lesson 2: Lesson 2: Pandas Series – Understanding 1D Data
• Lesson 3: Lesson 3: Pandas DataFrames – The Heart of Data Tables
• Lesson 4: Lesson 4: Loading Data – CSV, Excel, JSON & More
• Lesson 5: Lesson 5: Exploring Data – head, tail, info, describe
• Lesson 6: Lesson 6: Handling Missing Values – Detection & Strategies
• Lesson 7: Lesson 7: Data Types, Conversion & Cleaning
• Lesson 8: Lesson 8: Filtering, Sorting & Selecting Columns
• Lesson 9: Lesson 9: Grouping, Aggregation & Pivot Tables
• Lesson 10: Lesson 10: Merging & Joining Datasets
• Lesson 11: Lesson 11: Matplotlib Basics – Line Plots & Customization
• Lesson 12: Lesson 12: Scatter Plots, Histograms & Bar Charts
• Lesson 13: Lesson 13: Seaborn – Beautiful & Informative Visuals
• Lesson 14: Lesson 14: Box Plots, Heatmaps & Pair Plots
• Lesson 15: Lesson 15: Mini-Project – Explore & Visualize a Real Dataset
• Lesson 16: Lesson 16: Final Review & Comprehensive Practice