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Ashish I.Computer Vision and Deep Learning Expert, India
$19 /hr
7 Years Exp.
0 Followers
I am a Computer Vision and Deep Learning expert with 7 years experience. 1. Research experience in the field of Image Processing, Machine Learning...Read More
Hello! I'm an Instructional Designer with 10 years of experience in developing exemplary learning materials for diverse audiences for clients...Read More
Sheenam K.Machine Learning Enthusiast. , India
$34 /hr
2 Years Exp.
0 Followers
I am a certified Python developer. I am a machine learner enthusiast. I know Python, Tensorflow, OpenCV, Python libraries which are used for numerical...Read More
Rishabh R.Data Scientist and Analyst, India
$7 /hr
1 Years Exp.
0 Followers
I am a certified Data Scientist and Analyst having 1 year of experience in data labeling work. I am also a certified Python developer and I also have...Read More
I had 4+ years of industrial experience in computer vision, deep learning and machine learning.
Bindu Software engineer, India
$17 /hr
5 Years Exp.
0 Followers
c, c++, javascript, deep learning, computer vision, machine learning, data annotation, data entry
Nidhi Priya S.AI Engineer, India
$4 /hr
2 Years Exp.
0 Followers
I have experience of 2 years in AI as an AI engineer. I have experience in ocr, object detection ,RNN,LSTM,ANN,CNN.
Rupesh K.Software Engineer, India
$14 /hr
0 Years Exp.
0 Followers
I'm a software engineer looking for some remote work. I am good at Data Analyzing and find patterns in them so that we can build a business model...Read More
I'm a Senior Instructional Designer /Articulate Storyline 360 Developer and expertise includes a full understanding of the full cycle of E-learni...Read More
Manish K.Machine Learning Engineer, India
$0 /hr
0 Years Exp.
0 Followers
I’m Data science geek , I worked with some of clients. I am exploring and implementing machine learning algorithms like XGBoost, RandomForest, kNN, GB...Read More
Elvin Pharmacist , India
$0 /hr
0 Years Exp.
0 Followers
One year experience as pharmacist
Kawaljeet M.Data Scientist, India
$17 /hr
1 Years Exp.
0 Followers
Machine Learning in Python & R Experience in EDA, Visualization, Regression Models, Decision Trees, Clustering, NLP, Image Processing, SVMs, Rein...Read More
Sidney M.ICT, Education Technology specialist, Kenya
$100 /hr
12 Years Exp.
0 Followers
▪ Unique combination of skills and experience, having started in the Media, transitioning into Network Administration, International Software sales, W...Read More
Tarun K.Machine learning enthusiast, India
$17 /hr
0 Years Exp.
0 Followers
I am 3rd Year Student, skilled in Python, Machine Learning, Deep Learning, SQL, Panda, C++, Big Data, Strong professional with a B.tech + M.tech focus...Read More
Mudasar M.Deep Learning Engineer, India
$3 /hr
1 Years Exp.
0 Followers
I am a Mechanical Engineer with great interest in Artificial intelligence and Robotics.
Shangeth R.Deep Learning Researcher, India
$40 /hr
2 Years Exp.
0 Followers
shangeth.com
Badr Graphics and sound Design, Malta
$11 /hr
5 Years Exp.
0 Followers
Hello, it's a plaisur to be here to propose my services, i'm a multimedia designer since 5 years and worked on various projects as ( Web Des...Read More
Ankur G.Student, India
$2 /hr
0 Years Exp.
0 Followers
I am a certified Machine Learning and Deep Learning engineer with an experience of over 1 year. Best skill that defines me is Web Scraping. I've...Read More
Ujjwal J.Data scy, India
$15 /hr
0 Years Exp.
0 Followers
I have good knowledge of machine learning and data analysis.
Viru T.Machine Learning Engineer, India
$5 /hr
1 Years Exp.
0 Followers
An Enthusiast in the Field of AI. Love Learning About New Algorithms in Machine Learning and Writing Deep learning Algorithms from Scratch is the most...Read More
Krickstein A.I'm a currently work as English Teacher , Malaysia
$50 /hr
3 Years Exp.
0 Followers
Graduated with Master Degree, I currently work as a teacher, specifically teaching English / Cambridge English subject. I'm a novelist during my...Read More
Kenneth V.e-Learning Instructional Designer and Developer, Philippines
/hr
8 Years Exp.
0 Followers
An experienced learning and development professional well versed on all aspects of L&D supporting startups, and game-changer organizations globall...Read More
Arun Y.Graphic Designer, India
/hr
15 Years Exp.
0 Followers
As a graphic designer I am ready to create visual concepts, by hand or using computer software, and communicate ideas that inspire, inform, or captiva...Read More
13+ years of experience in high-profile technology companies as E-Learning Course Developer and Online Content Editor Got 13+ years of experience in...Read More
Aashutosh S.Machine learning Engineer, India
$20 /hr
0 Years Exp.
0 Followers
I have 3+ years of experience in Data Analytics & Consulting industry with experience in Data Analytics, Machine Learning, Predictive Modelling, R...Read More
Surin S.Application engineer, India
$4 /hr
3 Years Exp.
0 Followers
I am an application engineer working in machine vision and automation field with experience of 3 years in automation . I have completed Bachelor of te...Read More
Venkata S.software engineer, India
$10 /hr
1 Years Exp.
0 Followers
i am an aspiring data scientist as i am having good experience in analytics.
Govind M.Business Analyst, India
$25 /hr
6 Years Exp.
0 Followers
Experienced Business Analyst and technology enthusiastic. Believes in delivering the quality product. I enjoy my work.
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Articles Related To Learning


Welcome to Python programming world! We presume you are trying to find information concerning why and how to get started with Python. Fortunately, an experienced coder in any programing language (whatever it's going to be) will pick up Python very quickly. It is also easy for beginners to learn and use.

 

Why you should learn Python

Python is one of the most popular general-purpose programming languages used for both large and small-scale applications. With Python, you can discover how to bridge web development and data analytics. Python’s widespread adoption is due to its large standard library, easy readability, and support of multiple paradigms such as functional, procedural and object-oriented programming styles. Python modules interact with a variety of databases, making it an excellent choice for large-scale data analysis. The Python programming language is often the best choice for introductory courses in data science and machine learning. If you've been wondering how to learn python online to advance your career, you've come to the right destination.

 

A popular Python slogan “life is happier without braces”.

 

Install Python

Installing Python is generally easy, and today several Linux and UNIX system distributions include a recent Python. Even some Windows computers currently go along with Python already installed. If you do need to install Python download from Python official website.

 

Learning Python

Before getting started, you may want to find out which IDEs and text editor are best, IDE usually has plenty of useful features such as autocomplete, debugger and refactoring tools. Some will even check your Python code for little mistakes and encourage best practices through warnings. IDE will help you to find bugs and develop code faster. Learn basics of Python programming and syntax from online Python tutorials.

 

What you need to learn

  1. Python Syntax
  2. String and Console output
  3. Conditionals and control flow
  4. Function
  5. List and Dictionaries
  6. Loops and array
  7. Classes
  8. File input and output
  9. Advanced topic in python

 

Here are some tips to help you make the new concepts you are learning as a beginner programmer:

  1. Code Everyday: Consistency is very important when you are learning a new language. We recommend making a commitment to code every day.
  2. Write it out: As you progress on your journey as a new programmer, you may wonder if you should be taking notes. This will be especially beneficial for those working towards the goal of becoming a full-time developer, as many interviews will involve writing code on a whiteboard.
  3. Go Interactive: Whether you are learning about basic Python data structures (strings, lists, dictionaries, etc.) for the first time, or you are debugging an application, the interactive Python shell will be one of your best learning tools.
  4. Become bug hunter: Once you begin writing complicated programs that you just can run into bugs in your code. It happens to all or any of us! Don’t let bugs frustrate you. Instead, embrace these moments proudly and consider yourself as a bug bounty hunter.
  5. Surround yourself with others: It is extremely important when you are learning to code in Python that you simply surround yourself with others who are learning additionally. This may allow you to share the information and tricks you learn on the approach.
  6. Teach: It is said that the most effective way to learn something is to teach it. This is often true once you are learning Python. There are many ways to try to do this: white boarding with other Python lovers, writing blog posts explaining recently learned ideas, recording videos during which you explain something you learned, or simply talking to yourself at your computer.
  7. Pair program: Pair programming is a technique that involves two developers working to complete a task. The two developers switch between them. One developer writes the code, while other helps guide the problem solving and reviews the code as it is written. Switch frequently to get the benefit of both sides.
  8. Build something: For beginners, there are many small exercises that will really help you become confident with Python.

Python is one of the fastest growing programming languages. It has undergone more than 28 years of the successful span. Python itself reveals its success story and a promising future ahead. Python programming language is presently being used by a number of high traffic websites including Google, Yahoo Groups, Yahoo Maps, Shopzilla, Web Therapy, Facebook, NASA, Nokia, IBM, SGI Inc, Quora, Dropbox, Instagram and Youtube. Similarly, Python also discovers a countless use for creating gaming, financial, scientific and instructive applications.

 

Python is a fast, flexible, and powerful programing language that's freely available and used in many application domains. Python is known for its clear syntax, concise code, fast process, and cross-platform compatibility.

 

Python is considered to be in the first place in the list of all AI and machine learning development languages due to the simplicity. The syntaxes belonging to python are terribly easy and can be easily learn. Therefore, several AI algorithms will be easily implemented in it. Python takes short development time as compared to different languages like Java, C++ or Ruby. Python supports object oriented, functional as well as procedure oriented styles of programming. There are lots of libraries in python that make our tasks easier.

 

Some technologies relying on python:

Python has become the core language as far as the success of following technologies is concerned. Let’s dive into the technologies which use python as a core element for research, production and further developments.

 

  1. Networking: Networking is another field in which python has a brighter scope in the future. Python programming language is used to read, write and configure routers and switches and perform other networking automation tasks in a cost-effective and secure manner.
  2. Big Data: The future scope of python programming language can also be predicted by the way it has helped big data technology to grow. Python has been successfully contributing in analyzing a large number of data sets across computer clusters through its high-performance toolkits and libraries.
  3. Artificial Intelligence (AI): There are plenty of python frameworks, libraries, and tools that are specifically developed to direct Artificial Intelligence to reduce human efforts with increased accuracy and efficiency for various development purposes. It is only the Artificial Intelligence that has made it possible to develop speech recognition system, interpreting data like images, videos etc.

 

Why Choose Python for Artificial Intelligence and Machine Learning?

Whether a startup or associate MNC, Python provides a large list of benefits to all. The usage of Python is specified it cannot be restricted to only one activity. Its growing popularity has allowed it to enter into some of the most popular and complicated processes like artificial intelligence (AI), Machine Learning (ML), natural language process, data science etc. The question is why Python is gaining such momentum in AI? And therefore the answer lies below:

 

Flexibility: Flexibility is one of the core advantages of Python. With the option to choose between OOPs approach and scripting, Python is suitable for every purpose. It works as a perfect backend and it also suitable for linking different data structures together.

 

Platform agnostic: Python provides developer with the flexibility to provide an API from the existing programming language. Python is also platform independent, with just minor changes in the source codes, you can get your project or application up and running on different operating systems.

 

Support: Python is a completely open source with a great community. There is a host of resources available which can get any developer up to speed in no time. Not to forget, there is a huge community of active coders willing to help programmers in every stage of developing cycle.

 

Prebuilt Libraries: Python has a lot of libraries for every need of your AI project. Few names include Numpy for scientific computation, Scipy for advanced computing and Pybrain for machine learning.

 

Less Code: Python provides ease of testing - one of the best among competitors. Python helps in easy writing and execution of codes. Python can implement the same logic with as much as 1/5th code as compared to other OOPs languages.

 

Applications of Python:

There are so many applications of Python in the real world. But over time we’ve seen that there are three main applications for Python

Web Development: Web frameworks that are based on Python like Django and Flask have recently become very popular for web development.

Data Science (including Machine Learning): Machine Learning with Python has made it possible to recognize images, videos, speech recognition and much more.

Data Analysis/Visualization: Python is also better for data manipulation and repeated tasks. Python helps in the analysis of a large amount of data through its high-performance libraries and tools. One of the most popular Python libraries for the data visualization is Matplotlib.

 

A chatbot is an artificial intelligence powered piece of software in a device, application, web site or alternative networks that try to complete consumer’s needs and then assist them to perform a selected task. Now a days almost every company has a chatbot deployed to interact with the users.

 

Chatbots are often used in many departments, businesses and every environment. They are artificial narrow intelligence (ANI). Chatbots only do a restricted quantity of task i.e. as per their design. However, these Chatbots make our lives easier and convenient. The trend of Chatbots is growing rapidly between businesses and entrepreneurs, and are willing to bring chatbots to their sites. You might also produce it yourself using Python.

 

How do chatbots work?

There are broadly two variants of chatbotsRule-Based and Self learning.

  1. In a Rule-based approach, a bot answers questions based on some rules on that it is trained on. The rules outlined could be very easy to very complicated. The bots will handle easy queries but fail to manage complicated ones.
  2. The Self learning bots are those that use some Machine Learning-based approaches and are positively a lot of economical than rule-based bots. These bots may be of additional two types: Retrieval based or Generative.
    1. In retrieval-based models, Chatbot uses the message and context of conversation for selecting the best response from a predefined list of bot messages.
    2. Generative bots can generate the answers and not always reply with one of the answers from a set of answers. This makes them more intelligent as they take word by word from the query and generates the answers.

 

Building a chatbot using Python

NLP:

The field of study that focuses on the interactions between human language and computers is called Natural Language Processing. NLP is a way for computers to analyze, understand, and derive meaning from human language in a smart and useful way. However, if you are new to NLP, you can read Natural Language Processing in Python.

 

NLTK:

NLTK (Natural Language Toolkit) is a leading platform for building Python programs to work with human language data. It provides easy-to-use lexical resources such as WordNet, along with a suite of text processing libraries.

 

Importing necessary libraries

import nltk 

import numpy as np 

import random 

import string # to process standard python strings

 

Copy the content in text file named ‘chatbot.txt’, read in the text file and convert the entire file content into a list of sentences and a list of words for further pre-processing.

 

f=open('chatbot.txt','r',errors = 'ignore')

raw=f.read()

raw=raw.lower()# converts to lowercase

nltk.download('punkt') # first-time use only

nltk.download('wordnet') # first-time use only

sent_tokens = nltk.sent_tokenize(raw)# converts to list of sentences 

word_tokens = nltk.word_tokenize(raw)# converts to list of words

 

Pre-processing the raw text

We shall now define a function called LemTokens which will take as input the tokens and return normalized tokens.

 

lemmer = nltk.stem.WordNetLemmatizer()

#WordNet is a semantically-oriented dictionary of English included in NLTK.

def LemTokens(tokens):     

return [lemmer.lemmatize(token) for token in tokens]

remove_punct_dict = dict((ord(punct), None) for punct in string.punctuation) 

def LemNormalize(text):     

return LemTokens(nltk.word_tokenize(text.lower().translate(remove_punct_dict)))

 

Keyword matching

Define a function for greeting by bot i.e. if user’s input is greeting, the bot shall return a greeting response.

GREETING_INPUTS = ("hello", "hi", "greetings", "sup", "what's up","hey",)

GREETING_RESPONSES = ["hi", "hey", "*nods*", "hi there", "hello", "I am glad! You are talking to me"]

def greeting(sentence):

for word in sentence.split():

if word.lower() in GREETING_INPUTS:

return random.choice(GREETING_RESPONSES)

 

Generate responses

To generate a response from our bot for input queries, the concept of document similarity is used. Therefore, we start by importing necessary modules.

From scikit learn library, import the TFidf vector to convert a collection of raw documents to a matrix of TF-IDF features

from sklearn.feature_extraction.text import TfidfVectorizer

Also, import cosine similarity module from scikit learn library

from sklearn.metrics.pairwise import cosine_similarity

This will be used to find the similarity between words entered by the user and therefore the words within the corpus. This can be the simplest possible implementation of a chatbot.

Define a function response that searches the user’s vocalization for one or more known keywords and returns one of several possible responses. If it doesn’t find the input matching any of the keywords, it returns a response: “I’m sorry! I don’t understand you”

 

def response(user_response):

robo_response=''

sent_tokens.append(user_response)

TfidfVec = TfidfVectorizer(tokenizer=LemNormalize, stop_words='english')

tfidf = TfidfVec.fit_transform(sent_tokens)

vals = cosine_similarity(tfidf[-1], tfidf)

idx=vals.argsort()[0][-2]

flat = vals.flatten()

flat.sort()

req_tfidf = flat[-2]

if(req_tfidf==0):

robo_response=robo_response+"I am sorry! I don't understand you"

return robo_response

else:  robo_response = robo_response+sent_tokens[idx]

return robo_response

 

I have tried to explain in simple steps how you can build your own chatbot using NLTK and of course it’s not an intelligent one.

I hope you guys have enjoyed reading.

Happy Learning!!!

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