Python Basic :
 Introduction to Python
 Running Python from eclipse
 IDLE
Data type in Python
Integer
 Long
Float
 Complex
 None
Typecasting data
Operators in python
Collections in python:
List
 Introduction to List
List operations
List Comprehensions
 Dictionary
Introduction to Dictionary
 Dictionaries operations
 Set
Introduction to Set
Set Operations
 Tuples
Introduction to Tuples
 Tuples Operations
Conditionals and Looping
 Introduction to conditionals
 if
if and else
 if else if and else
Introduction to looping
 for loop
while loop
 break
continue
pass
Strings:
 Introduction to Strings
String Operations
Functions modules and Package:
 Inbuilt Functions
 User Defined Functions and its definition
 return statement
Local and global variables
Default argument
 Variable length arguments
 Anonymous functions
 Modules in Python
Packages in python
 Writing packages
importing packages
Exception handling in python :
Introduction to exception
 Raising Exception
try and except
 Different type of exception
 Multiple except
 Role of finally
 try, except and finally together
assert
IO in python
 Reading from and writing to console.
 Reading from a file
Difference between read() and readLine() function.
 Writing to a file
Reading and Writing csv (Comma Separated Files)
Reading and Writing JSON files.
 Reading pdf files
 Reading and writing excel files.
Some useful packages in Python
 os
 Joining path
 Creating new directory
Absolute and relative path
File size
Getting content of a folder
shutil
Copying files and directories
 Deleting files and directories
Renaming files and directories
Class and Objects :
Class in Python
Constructors
Objects
Inheritance
 Namespace
Debugging in Python
NumPy :
 Introduction to NumPy.
 NumPy data type
NumPy array and its operations
 NumPy ndarray
Indexing slicing and Stacking of array and ndarray
 Manipulating array shapes
Splitting arrays
Matrices and its operation in NumPy
Linear systems and NumPy
File IO in NumPy
Matplotlib :
Introduction to Matplotlib.
Line plot multiple line plot
Scatter plot
 Bar plot
Histograms
 Box plot
 Error bars
Contour plot
Piplot
Different aspects of coloring
 Violin plots
Text plot
 Word Cloud
NLTK :
Introduction to natural language processing.
 Introduction to NLTK
 Installing NLTK
Text analysis basics
Tokenization
Stemming
Stop words
 Part of speech tagging
Lemmatization
 NLTK Corpora
 Clustering
Pandas :
 Introduction to Pandas.
Pandas data structure
Operations on Data structures
 IO in Pandas
Data summarization and aggregation
Scikit-Learn
Introduction :
Introduction to Data Mining and Machine learning
Supervised and unsupervised learning.
Some use cases on machine learning.
Introduction to Scikit-Learn
 Installing Scikit-Learn
 What is data?
 Steps in data analysis.
Types of data.
 Data preprocessing and its importance.
Exploratory analysis of data :
Importance of data visualization
 Initial questions in model building.
Model selection
Linear regression
 Introduction to simple linear regression.
 Assumption to simple linear regression.
Parameter estimation
 Simple linear regression with Scikit-Learn
 Multiple linear regression with Scikit-Learn
 Model verification and linear regression assumption testing.
Data transformation and polynomial regression
Introduction to Ridge regression
 Ridge regression and Scikit Learn
Introduction to Lasso Regression
Lasso Regression and Scikit Learn
Classification
 Introduction to classification
 Classification use cases
K Nearest neighbor
Introduction to K Nearest neighbor
K Nearest neighbor in Scikit Learn
 Strength and weakness of K Nearest neighbor
 Logistic Regression
Introduction to logistic regression
Use cases of logistic regression
Mathematical description of logistic regression
Logistic regression with Scikit Learn
Naive Bayes Classifier
 Introduction to Bayes theorem
 Bayes theorem in classification
Bayes classifier with Scikit Learn
Decision Tree
Introduction to decision tree.
Use cases of decision tree
 Partition algorithms for decision tree
 ID3
 Gini Index
 Cart
 Tree pruning
Scikit Learn and decision tree
 Ensemble methods
Random forest with Scikit Learn
Neural Networks
 Introduction to brain
Introduction to neural network
 Perceptron
Back propagation algorithm
MLP and Scikit Learn
 Classifier performance evaluation
Confusion matrix
Cohen kappa
 Precision, recall and F-measures
 Receiver operating characteristic (ROC)
Clustering
Introduction to clustering
 Use cases of clustering
 K-means clustering
 Hierarchical clustering
 Different linkage type: Ward, complete and average linkage
 DBSCAN
 Clustering performance evaluation
 Adjusted Rand index
Mutual Information based scores
Homogeneity, completeness and V-measure
 Fowlkes-Mallows scores
 Silhouette Coefficient
NLTK :
 Introduction to natural language processing.
Introduction to NLTK
 Installing NLTK
 Text analysis basics
 Tokenization
 Stemming
 Stop words
Part of speech tagging
Lemmatization
NLTK Corpora
Clustering
TensorFlow Introduction
 TensorFlow History.
 Installing TensorFlow.
 Introduction to Jupyter.
TensorFlow with Jupyter.
Introduction to tensor in context of tensor flow.
 TensorFlow Data types
Computation and Dataflow graph
Concept of session.
Constant
 Placeholder
Variables.
Mathematical operations in TensorFlow
 Multiplication
Summation
 Maximum
 Minimum
 Complex number operations.
 Some more mathematical functions.
Matrix operation and Linear algebra in TensorFlow
Matrix summation and Substraction.
 Matrix Transpose.
 Determinant of Matrix.
 Matrix multiplication.
 Inverse matrix.