- Intro to Python
- Data Structures in Python (List, Tuple, Set, Dictionary)
- Control Statements (Decision and Loops)
- Functions and Modules
- Object Oriented Programming
- Exception Handling
- File Handling
- Web API
- Databases
- List Comprehension, Lambda, Filter, Map, Reduce
- Problem Solving for Interviews
- Data Analytics Framework
- Numpy
- Pandas for Beginners
- Advance Pandas Operations
- Case Study - Pandas Manipulation
- Missing Value Treatment
- Visuallization Basics - Matplotlib and Seaborn
- Case Study - Covid_19_TimeSeries
- Plotly and Express
- Outliers - Coming Soon
- Data Preparation and Modelling with SKLearn
- Working with Text Data
- K - Nearest Neighbours
- Linear Regression
- Logistic Regression
- Gradient Descent
- Decision Trees
- Support Vector Machines
- Hyperparameter Tuning
- Clustering
- Principal component Analysis
- Model Productionisation
- Models with Feature Engineering
- Car Price Prediction (Regression)
- Airline Sentiment Analysis (NLP - Classification)
- Adult Income Prediction (Classification)
- Web App Development + Serialization and Deserialization
- Streamlit Heroku Deployment
- Web Scrapping
- Introduction to Deep Learning
- Training a Deep Neural Network + TensorFlow.Keras
- Convolutional Neural Network + TensorFlow.Keras
- Recurrent Neural Network (Coming Soon)