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 Introduction to Python

• Variables, Tuples and Lists
• Loops and control statements
• Modules and imports

Development Environment Installation

• Installing python
• Installing Jupyter
• Installing python modules using Pip

Vectorizing Data in Numpy

• Creating Numpy arrays
• Common operations on matrices
• Using ufuncs
• Views and broadcasting on Numpy arrays
• Optimizing performance by avoiding loops
• Optimizing performance with cProfile

Data Analysis with Pandas

• Data cleaning
• Using vectorized data in pandas
• Data wrangling
• Sorting and filtering data
• Aggregate operations
• Analyzing time series

Data Visualization

• Plotting diagrams with matplotlib
• Using matplotlib from within pandas
• Creating quality diagrams
• Visualizing data in Jupyter notebooks
• Other visualization libraries in Python

Using Sklearn

• Building Supervised Learning Models
• Building Classification Models
• Model Training and Evaluation
• Plotting results
• Confusion Matrix calculation and Plotting

Introduction to Deep Learning using Keras and TensorFlow

• Installing TensorFlow and Keras
• Introduction to Neural Networks
• Building and Training ANN
• Introduction to Convolutional Neural Network
• Building and Training Image Classifier using CNN
• Training and Evaluating Deep Learning Models