Slides
- 00 DS_Course_Introduction.pdf
- 01 Python Introduction.pdf
- 02 Python Basics.pdf
- 03 Important Python Packages.pdf
- 04 Advanced Python.pdf
- 05 NumPy - Arrays and Vectorized Computation.pdf
- 06 Getting Started with pandas.pdf
- 07 Data Loading, Storage and File Formats.pdf
- 08 Data Cleaning and Preparation.pdf
- 09 Data Wrangling.pdf
- 10 Plotting and Visualization.pdf
- 11 Data Aggregation and Group Operations.pdf
- 12 Time Series.pdf
- BD 01 Introduction to Big Data.pdf
- BD 02 Big Data Stack Setup and Examples.pdf
- BD 03 Big Data Patterns.pdf
- BD 04 NoSQL Databases.pdf
- BD 05 Data Acquisition.pdf
- BD 06 Big Data Storage.pdf
- BD 07 Batch Data Analysis.pdf
- BD 08 Real-time Analysis.pdf
- BD 09 Interactive Querying.pdf
- ML01 Machine Learning Introduction.pdf
- ML02 End-to-End Machine Learning Project.pdf
- ML03 Classification.pdf
- ML04 ML Project.pdf
- ML05 Training Models and Regression.pdf
- ML06 Classical Techniques.pdf
- ML07 Unsupervised Learning and Clustering.pdf
- ML08 Neural Networks.pdf
- ML09 Artificial Neural Networks with Keras.pdf
- ML10 Deep Neural Networks.pdf
- ML11 Deep Computer Vision Using Convolutional Neural Networks.pdf
- ML12 Recurrent Neural Networks.pdf
- ML13 LSTM Sequence to Sequence.pdf
- ML14 Reinforcement Learning.pdf
- ML15 Recommender Systems.pdf