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Batch Date: July 2nd @6:00AM

Faculty: Mr. Arjun Srikanth (16+ Yrs of Exp,..)

Duration: 3 Months 15 Days

Venue :
DURGA SOFTWARE SOLUTIONS,
Flat No : 202, 2nd Floor,
HUDA Maitrivanam,
Ameerpet, Hyderabad - 500038

Ph.No: +91 - 9246212143, 80 96 96 96 96

Syllabus:

Full Stack Data Science Program
in Artificial Intelligence, Machine Learning and Deep Learning

Data Science Road Map:

• What is Data science
• Internal Mechanism of Data Science
• What is Artificial Intelligence
• What is Machine Learning
• What is Deep Learning
• What is Different Between AI, ML and DL

Life Cycle of Data Science:

• Business Requirement
• Data Wrangling
• Data Mining
• Data Cleansing

Python:

• Python Installation
• Jupyter Notebook Tutorial
• Variable
• Function
• Lambda Expression
• Loops
• List
• Tuple
• Set
• Dictionary

Numpy:

• What is Numpy
• History of NumPy
• What is Ndarray
• Creating Numpy Array
• Array Function
• Creating Numpy Array
• Numerical
• Homogenous
• Diagonal
• Random Numbers
• Array Attributes
• Creating Multi- Dimensional Array
• Extracting Data from Arrays
• Using Indexing
• Using Slicing
• Boolean Indexing
• Numpy Functions

Pandas:

• What is Data Manipulation
• What is Pandas
• History of Pandas
• What is Data Structure
• Pandas Data Structure
• Series & DataFrame
• Creating Series
• Creating DataFrame
• Extracting Data
• Manipulation of Data
• Inserting Columns & Rows
• Changing Columns & Rows
• Deleting column / rows
• Re-indexing Options
• Customization
• Indexing & Selecting
• Date Functionality
• Identifying Outlier
• Replace NaN using FillNa,
• Deleting using Drop, DropNa,
• Joining using Concatenate and Merge
• Group by, Pivot Table and Cross Tab

Feature Engineering:

• Data Acquisition
• Feature scaling
• NaN Identification
• Error Detection
• Encoding Techniques
• Data Separation
• Imbalance Dataset
• Data Splitting
• Model Building
• Model Training
• Model Testing

Statistics:

• What is Statistics
• Types of Statistics
• Descriptive Statistics
• Inferential Statistics

Data Visualization:

Matplotlib:

• Bar Graph.
• Pie Chart.
• Box Plot.
• Histogram.
• Line Chart
• Subplots
• Scatter Plot

Seaborn:

• Count plot
• Heatmap
• Scatter plot
• Pair plot
• Violin Plot
• Box plot

Machine Learning:

SUPERVISED LEARNING CLASSIFICATION

• Logistic Regression
• Decision Tree
• SVC
• Naive Bayes
• KNN
• Ensemble
  • Random Forest
  • Ada Boost
  • Gradient Boost
  • XG Boost

REGRESSION

• Linear Regression
• Multi Linear Reg
• Polynomial Reg
• Lasso Regression
• Ridge Regression
• Decision Tree
• SVM -- SVR
• Ensemble Method

Deep Learning:

• What is Deep Learning
• Machine Learning VS Deep Learning
• Biological Neural Network
• Deep Learning Application
• Artificial Neural Network (ANN)
• Convolutional Neural Network (CNN)
• Recurrent Neural Network (RNN)

TENSOR FLOW

• What is TensorFlow
• What are Tensors
• Tensor Graph
• TensorFlow Perceptron
• Single Layer Perceptron
• Hidden Layer Perceptron
• Multi-Layer Perceptron

· KERAS

• What is Keras
• Keras Model
• Sequential Model
• Functional Model
• Keras Layers
  • Input Layer
  • Output Layer

ACTIVATION FUNCTION:

• What is Activation Function
• Types of Activation Function
  • Relu, Leaky Relu
  • Tan
  • Sigmoid & Softmax
• What is Optimizer
• What is Loss function
  • Dense Layer
  • Flatten Layer
  • Convolutional Layer
  • Pooling Layer
  • Recurrent Layer
  • Embedding Layer

ARTIFICIAL NEURAL NETWORK

• The Detailed ANN
• How do ANNs work
• Gradient Descent
• Stochastic Gradient Descent
• Forward Propagation
• Backpropagation
• limitations of a Single Perceptron
• Neural Networks in Detail
• Understand Backpropagation

NATURAL LANGUAGE PROCESSING

• Natural Language Processing?
• Tokenization
• Stemming
• Lemmatization
• Stop Words
• Phrase Matching
• Vocabulary
• Part of Speech Tagging
• Named Entity Recognition
• Part of Speech Tagging
• Named Entity Recognition
• Sentence Segmentation
• Sentiment Analysis with NLTK
• Text Classification

COMPUTER VISION (Using CNN)

• What is Computer Vision
• Convolutional Neural Network
• Why CNN
• Application on CNN
• Convolutional Layers
• Pooling Layers
• Batch Normalization Layers
• Dropout Layers
• Recurrent Neural Network
  • LSTM
  • RNN Layers
  • Network Layer
  • Embedded Layer