Hire the best
Learning Consultants

Top 31 Learning Consultants on 22 Apr 2019 on Toogit. Learning Consultants on Toogit are highly skilled and talented. Hiring Learning Consultants is quite affordable as compared to a full-time employee and you can save upto 50% in business cost by hiring Learning Consultants. Hiring Learning Consultants is 100% safe as the money is released to the Learning Consultants only after you are 100% satisfied with the work.

Get Started

Explore Toogit’s top Learning Consultants

 
 
 
Data Scientist, Computer Vision Expert
Deepanshu Bhinda

Data Scientist, Computer Vision Expert  


Deep Learning Machine Learning Algorithm Development 
$35 /hr
India
Technical consultant
Vinit Khemka

Technical consultant  


Deep Learning Machine Learning Deep Neural Networks 
$26 /hr
India
Computer Vision Researcher, Software Engineer
Nitesh Bharadwaj

Computer Vision Researcher, Software Engineer  


Deep Learning software development Quantitative Finance 
$55 /hr
India
Python developer
Rahul Kumar

Python developer  


Deep Learning Machine Learning Python Developers 
$17 /hr
India
machine learning | deep learning | web scraping | NLP | python
Kartik

machine learning | deep learning | web scraping | NLP | python  


Deep Learning Machine Learning Deep Neural Networks 
$2 /hr
India
Customer Service
Amber

Customer Service  


e-Learning Customer Service Communication 
$12 /hr
United States
Student
Ashish Maknikar

Student  


Deep Learning Machine Learning Scikit-Learn 
$5 /hr
India
machine learning engineer
Ankit Nautiyal

machine learning engineer  


Deep Learning Machine Learning Python 
$35 /hr
India
ai engineer
Srinivas Naredla

ai engineer  


Deep Learning Machine Learning Artificial Intelligence 
$25 /hr
India
Robotics | Deep Learning | Computer Vision
Roshan Prakash

Robotics | Deep Learning | Computer Vision  


Deep Learning Machine Learning Deep Neural Networks 
$40 /hr
India
Machine learning | Deep learning
Raj Dharmendra

Machine learning | Deep learning  


Deep Learning Machine Learning Python Developers 
$17 /hr
India
Deep Learning Practitioner
Abhishek Saxena

Deep Learning Practitioner  


Deep Learning Machine Learning Deep Neural Networks 
$1 /hr
India
Data Scientist
Arpit Agrawal

Data Scientist  


Deep Learning Machine Learning Natural Language Processing 
$52 /hr
India
Machine Learning Engineer
Chaitanya

Machine Learning Engineer  


Deep Learning Python Developers Computer Vision 
$17 /hr
India
Data Scientist with vast experience in Machine Learning and Deep Learning
Sanjeev Thakur

Data Scientist with vast experience in Machine Learning and Deep Learning  


Deep Learning Machine Learning Chatbot Development 
$10 /hr
India
Data Engineer/Data Scientist.
Vinay Sawant

Data Engineer/Data Scientist.  


Deep Learning Machine Learning Spring 
$21 /hr
India
Machine Learning and Internet of Things Engineer
Harshit Agarwal

Machine Learning and Internet of Things Engineer  


Deep Learning Machine Learning Deep Neural Networks 
$5 /hr
India
Jr. Data Scientist
Shailesh Sarda

Jr. Data Scientist  


Deep Learning Machine Learning Data Mining 
$4 /hr
India
Data scientist
Abhishek Singh

Data scientist  


Deep Learning Machine Learning Deep Neural Networks 
$2 /hr
India
Senior Data Scientist
Arushi Khattri

Senior Data Scientist  


Deep Learning Machine Learning Data Science & Analytics 
$34 /hr
India
Ph.D. | Expert in Computer Vision, Deep Learning, and Machine Learning
Dilip Thomas

Ph.D. | Expert in Computer Vision, Deep Learning, and Machine Learning  


Deep Learning Machine Learning Computer Vision 
$35 /hr
India
Software developer
Kanhaiya Agarwal

Software developer  


Deep Learning Machine Learning Deep Neural Networks 
$5 /hr
India
AI Expert
Aniket Raj

AI Expert  


Deep Learning Machine Learning Website Development 
$15 /hr
India
Machine Learning and Computer Vision Developer
Ajinkya Khot

Machine Learning and Computer Vision Developer  


Deep Learning Machine Learning Image Processing 
$9 /hr
India
Content Writer
Ritesh Gautam

Content Writer  


Deep Learning Content Writing Microsoft Excel 
$5 /hr
India
The go-to guy for Machine Learning projects
Amruth Kiran

The go-to guy for Machine Learning projects  


Deep Learning Machine Learning Data Science & Analytics 
$16 /hr
India
Software Engineer - Machine learning, Deep learning, Artificial Intelligence, Python Developer
Gaurav Singh Baghel

Software Engineer - Machine learning, Deep learning, Artificial Intelligence, Python Developer  


Deep Learning Machine Learning Deep Neural Networks 
$5 /hr
India
Data Scientist
Raghupathi Nagalingappa

Data Scientist  


Deep Learning Machine Learning 
$18 /hr
India
Data Scientist
Manu Joseph

Data Scientist  


Deep Learning Machine Learning Manufacturing 
$70 /hr
India
Creator,Troubleshooter and Mentor for ML,Blockchain,Iphohne and cloud(Linux)
Anubhav Chaturvedi

Creator,Troubleshooter and Mentor for ML,Blockchain,Iphohne and cloud(Linux)  


Deep Learning Machine Learning Jenkins 
$10 /hr
India
Sign-up
to view more profiles

Get Started
 

How it works

Post a job

Post a Job

List your project requirement with us. Anything you want to get developed or want to add to your business. Toogit connects you to Top freelancers around the world.

Hire

Hire

Invite and interview your preferred talent to get work done. Toogit Instant Connect helps you if you need your project started immediately.

Work

Work

Define Tasks, use Toogit's powerful project management tool, stay updated with real time activity logs

Payment

Pay

Review work, track working hours. Pay freelancers only if you are 100% satisfied with the work done.

Reviews From Our Users

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!!!

Articles Related To Learning


Python Scripting – Learn and Earn
Python Scripting – Learn and Earn
Scripts & Utilities

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 progr...

Read More
Choose Python Language for Bright Future
Choose Python Language for Bright Future
Other - Software Development

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 futu...

Read More
Understanding chatbots and how to build one simple chatbot in Python
Understanding chatbots and how to build one simple...
Other - Software Development

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 t...

Read More

Other Freelancers In Similar Categories

Sameer Siddiqui


A highly motivated professional with more than 10 years of experience of working with Analytical tools like SAS /P...

Issam


I am an enthusiastic software developer with more than 10 years of experiences

Murali As


I support for All IT services - Cloud, Cyber Security, BI and BigData Analytics, ERP, CRM, Data Science and Machin...

Vidyacharan Kap...


BI and Data Science expert with 18 years experience

What our users are discussing about Learning