Friday 21 October 2022

5. Data Science Road Map

 

Data Science Road Map




    1.  Python & R Programming and Logic Build skill
    2.  Data Structure & Algorithms
    3.  Statistics & Maths 
    4.  Machine Learning
    5.  Deep Learning
    6.  Natural Language Processing
    7.  Computer Vision
    8.  Big Data and PySpark
    9.  Data Visualization with tools
    10.  Data wrangling
    11.  Data Manipulation analysis
    12.  Software engineering
    13.  Model development
    14.  Data mining
    15.  AI/MLOPS
    16.  Cloud
    17.  Data Architecture
    18.  Database programming skills


1. Python & R Programming and Logic Build skill
  • Python basics, Variables, Operators, Conditional Statements
  • List and Strings
  • While Loop, Nested Loops, Loop Else
  • For Loop, Break, and Continue statements
  • Functions, Return Statement, Recursion
  • Dictionary, Tuple, Set
  • File Handling, Exception Handling
  • Object-Oriented Programming
  • Modules and Packages

4. How to Succeed in Life with this simple formula ?

 

Succeed in Life

There are many ways to succeed in life but major way is this rule


I found one formula which is suitable for many persons more than 80% in world


There is no end for Successor it is just first end/finish


                                                           ==  

  1.  H - Hunger                       
  2.  C - Clothing
  3.  E - Education
  4.  E - Employment
  5.  S - Sustainable Growth
  6.  S - Success



Blog is uncompleted 

Tuesday 18 October 2022

3. Python History

 

History of Python


The designer of Python, Guido van Rossum

Python is a widely-used general-purpose, high-level programming language. It was initially designed by Guido van Rossum in 1991 and developed by Python Software Foundation. It was mainly developed for emphasis on code readability, and its syntax allows programmers to express concepts in fewer lines of code.

In the late 1980s, history was about to be written. It was that time when working on Python started. Soon after that, Guido Van Rossum began doing its application-based work in December of 1989 at Centrum Wiskunde & Informatica (CWI) which is situated in the Netherlands. It was started firstly as a hobby project because he was looking for an interesting project to keep him occupied during Christmas. The programming language in which Python is said to have succeeded is ABC Programming Language, which had interfacing with the Amoeba Operating System and had the feature of exception handling. He had already helped to create ABC earlier in his career and he had seen some issues with ABC but liked most of the features. After that what he did was really very clever. He had taken the syntax of ABC, and some of its good features. It came with a lot of complaints too, so he fixed those issues completely and had created a good scripting language that had removed all the flaws. The inspiration for the name came from BBC’s TV Show – ‘Monty Python’s Flying Circus’, as he was a big fan of the TV show and also he wanted a short, unique and slightly mysterious name for his invention and hence he named it Python! He was the “Benevolent dictator for life” (BDFL) until he stepped down from the position as the leader on 12th July 2018. For quite some time he used to work for Google, but currently, he is working at Dropbox. 

The language was finally released in 1991. When it was released, it used a lot fewer codes to express the concepts, when we compare it with Java, C++ & C. Its design philosophy was quite good too. Its main objective is to provide code readability and advanced developer productivity. When it was released it had more than enough capability to provide classes with inheritance, several core data types exception handling and functions. 

Following are the illustrations of different versions of Python along with the timeline.


Below Image is Active python version Release

Now currently 3.10.8 is the stable version of python

The two of the most used versions has to Python 2.x & 3.x. There is a lot of competition between the two and both of them seem to have quite a number of different fanbases. 

For various purposes such as developing, scripting, generation, and software testing, this language is utilized. Due to its elegance and simplicity, top technology organizations like Dropbox, Google, Quora, Mozilla, Hewlett-Packard, Qualcomm, IBM, and Cisco have implemented Python. 

Python has come a long way to become the most popular coding language in the world. Python has just turned 30 and just recently at pycon22(python confrence) a new feature was released by Anaconda foundation it’s known as pyscript with this now python can be written and run in the browser like javascript which was previously not possible, but it still has that unknown charm & X factor which can be clearly seen from the fact that Google users have consistently searched for Python much more than they have searched for Kim Kardashian, Donald Trump, Tom Cruise, etc.


Reference:

2. Best way to learn "Python" with resources & tools

 

The Best way to Learn "Python" is with free resources 






Best Resources to start python

1. Youtube

2. Books

3. Documentation

4. Online Course


Youtube references

1. Corey Schafer

2. Krish Naik Data Science

3. Mosh Python

4. FreeCodecamp


Python Tools & Editor

1. Jupyter Notebook

2. Google Colab

3. PyCharm

4. VsCode

5. Atom

6. Sublime Editor


Some of the useful links to resources

1. https://kinsta.com/blog/python-tutorials/

2. https://mikkegoes.com/learn-python-online-best-resources/

3. https://www.fullstackpython.com/best-python-resources.html

4. https://learnpython.com/blog/beginner-learning-python-resources/

Monday 17 October 2022

1. My first survey research paper in master degree at Berlin Germany

                    


                               This AI innovation Conference happened on 6 May 2022 at

      HTW University of Applied Science Berlin, Germany

      University of Exeter England,UK 


I'm selected for this conference through this research survey paper. Still lot of work is pending for this paper.  


              Survey On AI & Robotic Technology In Hospitals For Detecting 
                              The Disease Using Machine Learning Model

Abhishek Barandooru Janavejirao 
Department of Computer Science & Physics 
University of Naples Federico II Naples, Italy 
a.barandoorujanavejirao@studenti.unina.it

Abstract: Artificial Intelligence plays an important role in all industries including medicine. This survey study paper mainly focuses on robotization technologies using Artificial Intelligence Computer Systems in hospitals. When I start looking for fast and smart technologies. Artificial Intelligent agents are major in solving the problem and predicting diseases by using machine learning and deep learning models. By using an automated system, we can minimize human error in detecting the solution for diseases through models by learning the automation technique. This can easily detect and predict the symptoms and rare disease symptoms of humans through previous data. Automated agents learn day by day of improving the learning process and solving the complicated problem of diseases. Introducing robots in the healthcare sector protects the customer and healthcare workers as well as decreases the need for medical personnel, as robots can partially take over some medical roles of predicting diseases and medicine for a particular disease. The medicine prescription is also automated in medicals in the same hospital which is for primary diseases medicines. The purpose of AI technology is mainly to diagnose more people accurately within a short time it helps majorly in developing nations where doctors are less access to all patients in a hospital. Rapid advances in AI and related technologies will help to care providers create a new era for the medical industry as well as patients and improve efficiency in medicine.

Here I attached the poster for the conference 
paper is confidential in the next journal I will publish it completely with paper






Here from the organization, i received certification for the poster



5. Data Science Road Map

  Data Science Road Map  Python & R Programming and Logic Build skill  Data Structure & Algorithms  Statistics & Maths   Machine...