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Python Data Science Machine Learning

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cOURSE oVERVIEW
The Course is conducted by experts in Python Data Science Machine and it’s need in the current industry requirements . All the important features of Python used for Data Science, Machine Learning will be explained with the practical scenarios.The very importanat features like Data Structures will be handled with very good explored examples.The Course talks about Data Science basics to advance concepts, Machine Learning best suited industry will be handled with exposure to live projects.
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Python Data Science Machine Learning

Data Science Overview

  • 1. Data Analysis
  • 2. Big Data -3Vs
  • 3. Data Science in Real World
  • 4. Tools and Technologies

Data Analytics Overview

  • 1. Introduction to Data Analytics
  • 2. Plotting
  • 3. Data Analytics Skills and Tools

Statistical Analysis and Business Applications

  • 1. Study about Environment required
  • 2. Terms Usage
  • 3. Hypothesis Testing
  • 4. Chi-Square test
  • 5. Correlation Matrix

Environment Setup and Essentials

  • 1. Study about Environment required
  • 2. Installation of Python and Anaconda
  • 3. Jupyter Notebook

Getting Started –Python

  • 1. Variables and Assignments
  • 2. Basic Data Types
  • 3. Functions
  • 4. Control flow
  • 5. Exception Handling

Mathematical Computation with Python using NumPy

  • 1. NumPy Overview
  • 2. Types of Arrays
  • 3. ndArray
  • 4. Basic Operations on Arrays
  • 5. Universal Functions
  • 6. Linear Algebra Functions with NumPy

Scientific Computation with SciPy

  • 1. Introduction to SciPy
  • 2. SciPy Packages and Sub Packages

Scikit Learn

  • 1. About Scikit Learn
  • 2. Problem Solution Approach
  • 3. Supervised Machine Learning –Linear Regression
  • 4. Supervised Machine Learning –Logistic Regression
  • 5. Supervised Machine Learning –KNN
  • 6. Unsupervised Machine Learning-Clustering
  • 7. Unsupervised Machine Learning- K-Means Clustering
  • 8. Model persistence
  • 9. Natural Language Processing
  • 10. Bag Of Words

Data Visualization

  • 1. Introduction to Data Visualization
  • 2. Data Visualization Tools
  • 3. Matplotlib
  • 4. Different Types of Plots

Mathematical Computation with Python using NumPy

  • 1. Types of Neural Networks
  • 2. Convolutional Neural Network with example
  • 3. Recurrent Neural Network with example

Projects: Real time projects with hands on class room training


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