Surendra Sharma

Surendra Sharma

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Showing posts with label course. Show all posts
Showing posts with label course. Show all posts

Saturday, October 27, 2018

Course : Data Science Essentials

Finished the course "Data Science Essentials" successfully on EDX offered by Microsoft by 98%.

Data Science Essentials
Data Science Essentials
I study below modules in this course
  • Module 1: Introduction to Data Science
  • Module 2: Probability and Statistics for Data Science
  • Module 3: Simulation and Hypothesis Testing
  • Module 4: Exploring and Visualizing Data
  • Module 5: Data Cleansing and Manipulation
  • Module 6: Introduction to Machine Learning

Monday, October 15, 2018

Course : Deep Learning Explained

Finished the course "Deep Learning Explained" successfully on EDX offered by Microsoft by 80%.


Deep Learning Explained score
Deep Learning Explained score

I study below modules in this course
  • 1 | Introduction and Overview
  • 2 | Multi-class Classification using Logistic Regression
  • 3 | Multi-Layer Perceptron
  • 4 | Convolution Neural Network
  • 5 | Recurrent Neural Network and Long Short Term Memory
  • 6 | Text Classification with RNN and LSTM

Sunday, September 23, 2018

Course : Basic PowerShell Commands

Today I completed one more course "Basic PowerShell Commands" from Udemy guided by Shakil khan.

Basic PowerShell Commands certificate
Basic PowerShell Commands certificate

I really enjoyed this course as PowerShell is very useful to write script and remind me my college days when I tried to write code in DOS Batch files and Linux Shell scripts.

It will also help me to get more use-to with Sitecore PowerShell module.

Here I learned below topics

  • Introduction 
  • Start-Transcript and PowerShell Version 
  • Execution Policy 
  • How to get and set Alias and how to use pushd and popd 
  • get-childitem and formatting the output of command 
  • get-command and how to navigate help, measure-object and count 
  • File Handling like New-Item, Get-Content,remove-Item, rename-Item, Move-Item 
  • Sorting the object and grouping 
  • Selecting an object and iterating using foreach-object 
  • Filtering using where-object and some more examples of group-object 
  • get-process and how to stop a process or kill it 
  • Important PowerShell commands like Stop Process, convert data to HTML or CSV 
  • String Handling in PowerShell 
  • Navigating Help In PowerShell to look for event Logs 
  • Environment Variable 
  • Persistent Environment Variable in Registry

Monday, September 17, 2018

Course : Essential Mathematics for Artificial Intelligence

Finished the course "Essential Mathematics for Artificial Intelligence" successfully on EDX offered by Microsoft by 92%.

Essential Mathematics for Artificial Intelligence
Essential Mathematics for Artificial Intelligence


I study below modules in this course

  • Equations, Graphs, and Functions
  • Derivatives and Optimization
  • Vectors and Matrices
  • Statistics and Probability

Sunday, September 2, 2018

Course : Introduction to Python for Data Science

Finished the course "Introduction to Python for Data Science" successfully on EDX offered by Microsoft by 98%.

Introduction to Python for Data Science
Introduction to Python for Data Science

I study below modules in this course
1. Python Basics
2. List - A Data Structure
3. Functions and Packages
4. Numpy
5. Plotting with Matplotlib
6. Control Flow and Pandas
7. Final Exam and Course Wrap-up

Thursday, August 23, 2018

Course : Introduction to Artificial Intelligence (AI)

Finished the course "Introduction to Artificial Intelligence (AI)" successfully on EDX offered by Microsoft by 87%.

 Introduction to Artificial Intelligence (AI)
 Introduction to Artificial Intelligence (AI)

I study below modules in this course

  • Introduction
  • Machine Learning
  • Language and Communication
  • Computer Vision
  • Conversation as a Platform

Sunday, August 19, 2018

Course : Principles of Machine Learning


Finished the course "Principles of Machine Learning" successfully on EDX offered by Microsoft by 94%.


Principles of Machine Learning
Principles of Machine Learning

I study below modules in this course

  • Module 1: Classification
  • Module 2: Regression
  • Module 3: Improving Machine Learning Models
  • Module 4: Tree and Ensemble Methods
  • Module 5: Optimization-Based Methods
  • Module 6: Clustering and Recommenders