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