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Top 27 Hop Consultants on 18 Sep 2019 on Toogit. Hop Consultants on Toogit are highly skilled and talented. Hiring Hop Consultants on Toogit is quite affordable as compared to a full-time employee and you can save upto 50% in business cost by hiring Hop Consultants on Toogit. Hiring Hop Consultants on Toogit is 100% safe as the money is released to the Freelancer only after you are 100% satisfied with the work.

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Sharanya B.Bigdata Admin, India
$10 /hr
3 Years Exp.
0 Followers
Happy to share my knowledge through classes and also working as freelancer to enhance my skills.
Rupesh C.Devops engineer, India
$7 /hr
0 Years Exp.
0 Followers
I have taken training of many tools like ansible ,hadoop,linux administrator,docker of devops technologoy. I have spent a lot of time with these t...Read More
Simarjot K.Big Data Engineer, India
$2 /hr
3 Years Exp.
0 Followers
I am Big Data professional with experience working on Cloudera, Google Cloud Platform using Big Data, Spark and job schedulers like oozie, airflow.
Data scientist having experience of 7+ years in bigdata ecosystem as a developer and technical lead. HAVING KNOWLEDGE ON MACHINE LEARNING AND PIG,HIVE...Read More
Sikander Software Architect, Pakistan
$21 /hr
19 Years Exp.
0 Followers
Dear Sir, I have 19 years of extensive work experience as software development manager, software architect and team lead in application design and dev...Read More
Anurag M.Software Engineer, India
$2 /hr
1 Years Exp.
0 Followers
I have worked data analysis domain for 1.8 years now. I have done certification courses on various websites such as udemy, coursera, etc. Currently pu...Read More
Srimathi R.Passionate Coder, India
$1 /hr
1 Years Exp.
0 Followers
I am fast passionate coder
Tom J.hadoop admin, India
/hr
3 Years Exp.
0 Followers
hadoop admin
Bhavya M.Data Engineer, India
$9 /hr
1 Years Exp.
0 Followers
I am a Data engineer with 8 months of experience
Vaishali V.Content Writer, India
$34 /hr
1 Years Exp.
0 Followers
Currently working as content writer. Technically skilled in Java, C, C++ as well as in Hadoop. Actively looking for content writing projects. So, in c...Read More
Abdurrahman A.Data Engineer, Nigeria
$35 /hr
15 Years Exp.
0 Followers
I am a veteran software engineer with 17+ experience and currently working more as a data engineer and data science. I love cycling and travelling.
Atul Software development engineer in Test, India
$9 /hr
8 Years Exp.
0 Followers
Iam working as full stack Automation engineer,that is UI automation, backend automation like API, microservices, database using Spring, springboot,jav...Read More
I am software Testing Professional having more than 15 years of experience across various big CMMi level 5 companies and worked on multiple domains li...Read More
Mark N.Data Scientist/Big Data Engineer/Oracle Developer, Kenya
$58 /hr
8 Years Exp.
0 Followers
Am a big data engineer with wide experience in python and python libraries for machine learning and data visualization.Am an experienced R developer....Read More
Deval P.Hadoop|Tableau Developer, India
$36 /hr
2 Years Exp.
0 Followers
An intelligent, dynamic and focused Hadoop and Tableau Professional. Working as a Team Leader supervising and managing a group of 5 employees. Strong...Read More
Microspan S.MicroSpan Solutions, India
$30 /hr
20 Years Exp.
0 Followers
MicroSpan Solutions is a Software Development Company and providing Architecture Solution to global clients including USA, Gulf Countries, Australia,E...Read More
Ronak Pahadia Business Analyst, India
$9 /hr
2 Years Exp.
0 Followers
Hi, I am Ronak Pahadia, a freelancer from Mumbai IN, I have a team of software enthusiast who have completed various projects on web development, Big...Read More
Venkata Independent Software Developer / Consultant, India
$20 /hr
13 Years Exp.
0 Followers
Java, Big Data Developer and DevOps Engineer with 13 years of experience. Building reliable and scalable solutions for large scale applications using...Read More
Sachin Senior Java Developer, India
$20 /hr
5 Years Exp.
0 Followers
I am a Java developer having strong 5 Years of experience mostly in hardcore backend developement. in the span of 5 years i have worked on multiple p...Read More
Vipin Java developer, India
$9 /hr
6 Years Exp.
0 Followers
Having 6 years of experience in software industry and have worked on number of project from small level to enterprises one. Currently working in a pay...Read More
Aditya Data Engineer/BackEnd Engineer, India
$9 /hr
1 Years Exp.
0 Followers
I am certified Cloudera Spark and Hadoop (CCA 175) and also have AWS Developer Associate. I started my career in start-up where i have a hands-on exp...Read More
Sunil Panigrahi Senior Application Developer, India
$19 /hr
8 Years Exp.
0 Followers
I have 8+ years of experience in application development. I mostly work on embedded C but have detailed knowledge of C++ as well. Linux is the operati...Read More
Tanushri IT Professional, India
/hr
0 Years Exp.
0 Followers
I am IT professional and have work experience in multiple technologies like .net, sql, hadoop, big data. Willing to take new challenges and would lik...Read More
Ashish Software Engineer, South Korea
$30 /hr
5 Years Exp.
0 Followers
I am Java J2EE Big data developer with experience in Microservice architecture and distributed frameworks such as Hadoop, Spark
Sabyasachi C.Software Developer, India
$10 /hr
15 Years Exp.
0 Followers
I am M.Tech(CSE),M.Sc(CS) and MBA(Systems) with 15 years of experience in Academics and Software Development
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Popular How-To's in Hop category


 
How to create a solver in python
Scripts & Utilities

Python scipy provides a good number of optimizers/solvers. You can use these optimizers to solve various non-linear and linear equations. However, sometimes things might get tricky...

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Ghostwriting can be a great career if you are a talented writer who is full of ideas and good at analysis and at capturing the style and tone of various publications and of clients whom you'll be working with. However there are some things you should be clear about before starting to work as a ghostwriter.

What is Ghostwriter?

I think most of us know what a Ghostwriter is. As defined by Wikipedia, it’s:

“A person who is hired to write literary or journalistic works, speeches, or other text that are officially credited to another person as the author.”

A writer who is paid to write articles, books, reports, stories, website material or other content that is officially credited to another person is called a ghostwriter. A ghostwriter writes a piece of work, such as non-fiction or fiction, but does not put their name on it. Political leaders, celebrities, website owners, and executives typically hire ghostwriters to draft or edit their written material.

If you want to make money telling other people’s stories on the sly, you’ll have to be a good listener, a good researcher and a good writer. If you can do all that, you could make a living from this type of freelance work.

What does a ghostwriter do?

Ghostwriters are paid to write for someone else and allow them to put their name on that. Ghostwriter is their secret weapon behind the scenes. There is a high demand for ghostwriters to provide a wide range of content, like blog posts, articles, non-fiction books, and even celebrity autobiographies. Websites perpetually want fresh and interesting content. Many of us dream of getting a bestselling book, but simply don’t have the writing skills. You will satisfy all these needs and get paid doing something you like.

How to become a Ghostwriter?

  • Gain experience: Ghostwriting is an excellent source of income and a great career alternative for an accomplished writer, it's certainly not an entry-level position. If you haven’t been published yourself, it’s unlikely you’re able to write to a publishable standard for someone else. Seriously, how are you able to write a book for someone else, in their voice, when you’ve never written one yourself? Better yet, write two or three. Shoot for a minimum of 50,000 words each so you get a sense for writing something that long dealing with the nuances of voice, narrative, flow, etc.

This makes sense on two levels: firstly, you need to be able to market yourself as a successful and experienced writer to potential clients who will be paying you to write for them. Secondly, you’ll need the experience you’ve acquired so far to navigate through a ghostwriting project.

  • Identify your niche: While it is great to experience with various things when starting out as a ghostwriter, most ghostwriters have a “niche”: a unique point. Are you working on lyrics for top bands? Do you write business books? Make sure to concentrate on one thing. while it’s tempting to want a broad ghostwriting portfolio, having a specialist field can make you an professional in that niche, and you're more likely to get better, high-quality ghostwriting work in that area.
  • Ability to work on tight deadlines: As a ghostwriter, you have to gather a deep understanding of your client’s needs and expectations. At the beginning of a project, you’ll get brief descriptions of project, outlining complete guidelines, expectations, and deadlines. And deadlines you'll get, you can’t expect an entire publishing team to wait for you while you sit around waiting for inspiration to strike.

If you’re an experienced writer, you’ll already know how to establish a regular, hardworking rhythm that works for you. However, it’s necessary to keep in mind that a ghostwriting project isn't something that may be completed in your own time. Do you have enough self-discipline to visualize a project through over a long period of time? Some ghostwritten projects take a few years to write, and procrastination is all too simple when you think you have all that time to achieve it.

  • Research and communication skills required: Ghostwriting isn't the simplest job in the world. It requires smart communication skills and extreme patience in some cases for you to be able to do the work. You’re required to be a listener and a researcher. This sounds simple, but if you happen to be working with an uncommunicative subject, then it will really feel like a bloodshed.

Ghostwriters not only write up the story but do the majority of the legwork. If it’s an autobiography, you’ll require a top-notch interview skills. For other non-fiction ghostwriting, you’ll most likely be researching away.

Quality research also provides you the opportunity to confirm the information that your client has given you. Doing this doesn’t mean that you just disbelieve whatever they’ve told you. You’re simply fact-checking and qualifying the information that you just have been given that is your job.

  • Put your ego aside: Ghostwriting isn't about you. It’s about your client. It’s obvious that you need to be an excellent writer but you also need to be comfortable switching your writing style to encapsulate your client’s voice, even though you're thinking that yours is better.

As a ghostwriter, your name won’t appear on the cover and the most you'll hope for is a thank you in the acknowledgements section, so there’s no area to enjoy dreams of seeing your name in print. You would possibly want to shout about your achievements but remember that you’re being paid to stay quiet.

If you can persuade your ego to step aside to put in the diligence for someone else, you'll gain publishing success and build a solid, skilled reputation through your ghostwritten work.

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!!!

Kind words are worth much and cost little. This creates opportunity: when you can’t out-spend the competition, the solution is to out-support them.

 

Here are 14 tips from the support documentation of world leaders in providing best customer service. I hope these will help you in improving your customer service.

 

  1. Practice sympathy, Patience, and Consistency: Some of your customers will be full of queries, some just chatty, and others plain mad. You must be ready to handle all of them and provide the same level of service every time.
  2. Good customer Service may be a Continuous Learning process: Every customer is unique and each support situation is totally different. In order to handle surprises, sense a customer’s mood, address new challenges consequently, you've got to be willing to stay learning. Strive to have a deep understanding of your customer’s challenges and still search for better ways to deal with them.
  3. Train customer service agent for understanding product detail: The training and development program must cover all aspects of how to deal with issues, talk to customers, and resolve problems.  Apart from that, your team should believe in and understand your product before they are sent out with the task of pacifying a customer. If your team does not know the product or the service well enough, then they will not have enough knowledge to tackle an issue.
  4. Solving a problem as soon as possible: When customers complain, your team must acknowledge the issue quickly and try to resolve it timely.
  5. Use technology to assist them: Customer support can only be performed accurately if we mix the technology with the humanistic approach.
  6. Add live chat to your website: Live chat can help your customer support team to interact with the customer in depth so that the customer can get resolved his queries easily.
  7. Use customer service templates: It’s important to keep your standards high and your response times low. Don’t waste keyboard strokes for every basic and common question. Build professional templates so you can respond to customer with ease and professionalism.
  8. Maintain a positive attitude: It is very important that your team keep a positive and bright attitude when managing your customers. If you maintain an accommodating and inviting attitude, then you will easily avoid conflicts.
  9. Apologize for any inconvenience: Whatever the issue, and whatever role your company played in the issue, you need to apologize to the customer. If the consumer’s credit card did not work, tell them you’re sorry for their inconvenience or that it happened.
  10. Listen to your customer: One of the simplest ways in which to serve your customer is by listening to them from the beginning. Most customers contact or reach bent on your support team to when they want to convey a message or a problem. Therefore, the first and most important thing you can do is to hear them out completely.
  11. Never say “I don’t know”: When your team represents your business, they need to speak as if the business itself is speaking. So, once an executive says “no”, Customer instantly diminishes the value of your business. “No” isn't an answer. If a customer is facing a difficulty, then your team should try and resolve it, one way or another.
  12. Admit your mistakes: If you mess up, admit it, even if you discover your mistakes before your customers do. Admitting you messed up builds trust and restores your customer’s confidence in your service. It also allows you to control the situation, re-focus the customer’s attention, and fix the problem.
  13. Follow up after a problem is solved: Follow up with your customers to ensure their issues were resolved properly and that they were satisfied with the service. Give them a call, send them an email etc.
  14. Always close conversations correctly: Every conversation you close with a customer should end with you saying “Is there anything else I can do for you today? I’m happy to help!”

 

Everyone should be feeling the customer’s pain points. When your whole company is encouraged to be involved in customer service, knowledge of problems, bugs, and features becomes illuminated for the entire team. There’s no faster way to make improvements that drive your business forward.

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