Python Environment and Setup
• Anaconda
• Installation of Anaconda Python Distribution
Python for Data Science
• Python Basics
• Expression and Variables
• Write your first Python code
• String Operations
• Lists and Tuples
• Sets
• Dictionaries
• Conditions and branching
• Loops
• Functions
• Objects and Classes
• Reading files with Open
• Writing files
• Loading Data with Pandas
• Working and saving data with Pandas
• Loading Data and viewing Data
• Data on the Web
• eXtensible Markup Language(XML)
• XML Schema
• Parsing XML
• JSON and the REST Architecture
• Service oriented approach
• Using application Programming Interfaces
• Securing API requests
• Object oriented Python
• Object Life Cylce
• Object Inheritance
• Encoding Data in python
• Object oriented programming
• Relational database
• Using Database
• Single table CRUD
• Designing a data model
• Inserting relational data
• Reconstructing data with JOIN
• Many to Many relationships
• Capstone – Spidering
• Page Rank – Computation
• Page Rank – Visualization
• Build a search engine
• Identifying your data
• Mail – Visualization
• Python Data Science – Python types and Sequence
• Python Data and times
• Reading and writing CSV files
• Advanced Python objects , map()
• Advance python Lambda and list comprehensions
• Advance python demonstration – The numerical python library – Numpy
• The Series Data Structure
• Querying a Series
• The data frame data structure
• Dataframe indexing and loading
• Querying a data frame
• Indexing dataframes
• Missing values
• Merging data frames
• Pandas idioms
• Group by
• Scales
• Pivot tables
• Data functionality
• Distributions
• More distributions
• Hypotheses testing in python
• Matplotlib architecture
• Basic plotting with matplotlib
• Scatter plots
• Line plots
• Bar Charts
• Sub Plots
• Histograms
• Box plots
• Heatmaps
• Animation
• Interactivity
• Plotting with Pandas
• Seaborn

• Numpy One dimensional Array
• Working with One dimensional Numpy Arrays
• Numpy two directional Arrays
• Working with two dimensional Numpy Arrays
• Activity – Sequence it Right
• Creating and printing a Ndarray
• Class and Attributes of Nd array
• Basic Operations
• Activity- Slice it
• Copy and Views
• Mathematical Function of Numpy
• Analysis of a data sets

• Key concepts in Machine Learning
• Python tools for machine learning
• An example Machine Learning Example
• Examining the Data
• K-Nearest neighbour Classification
• Introduction to Supervision Machine Learning
• Overfitting and underfitting
• Supervised learning: Datasets
• K-Nearest Neighbours : Classification and Regression
• Linear regression – Least Squares
• Linear regression-Least Squares
• Linear Regression -Ridge, Lasso , and Polynomial Regressions
• Logistic Regression
• Linear Classifiers: Support Vector Machines
• Multi Class Classification
• Kernelized Support Vector Machines
• Cross Validation
• Decision Trees
• Model Evaluation and Selection
• Confusion Matrices and Basic Evaluation Metrics
• Classifier decision Functions
• Precision-recall and ROC curves
• Multi Class Evaluation
• Regression Evaluation
• Model Selection-Optimizing classifiers for different Evaluation Metrics
• Naïve Bayes Classifiers
• Random Forests
• Gradient boosted decision tree
• Neural Networks
• Deep Learning
• Data Leakage
• Dimensionality Reduction and Manifold learning
• Clustering

• Introduction to Neural Networks
• Neural Network Activation functions
• Cost Functions
• Gradient Descent backpropagation
• Creation of neural network
• Tensor Flow basics
• Tensor flow – Regression and Classification Examples
• Introduction to Convolutional Neural Networks
• Recurrent Neural Networks
• Reinforcement Learning
• Generative Adversarial Networks

• Introduction to Images and Open CV
• Opening Image files and drawing on Images
• Image processing
• Object detection with OpenCV and Python
• Object Tracking

• What is Natural Language Processing and its applications
• Linear models for sentiment analysis
• Spam Filtering
• Neural Language models
• Introduction to Machine Translation
• Word Alignment model