Data Science & AI from 0 to 100
An end-to-end journey covering everything from Python fundamentals to deploying advanced Transformer models in the cloud.
What You'll Learn
1. Foundations of Programming and Data Science
- Python: Variables, Data Types, Functions
- Data Structures: Arrays, Linked Lists
- Time and Space Complexity
2. Data Wrangling and Exploratory Data Analysis (EDA)
- Pandas and NumPy Basics
- Data Normalization and Standardization
- Visualization with Matplotlib & Seaborn
3. Machine Learning Fundamentals
- Linear & Logistic Regression
- Decision Trees, Random Forest
- Cross-Validation and Evaluation Metrics
4. Advanced Machine Learning and Deep Learning
- Basics of Neural Networks
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
5. Advanced AI and Natural Language Processing (NLP)
- Text Preprocessing, Tokenization
- BERT, GPT, and T5 models
- Prompt Engineering
6. Projects and Capstone
- Project: Titanic Survival Prediction
- Project: Image Classification (CNN)
- Capstone: Build a Personal Assistant