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...Read More
Top 25 Sol Consultants on 16 Dec 2019 on Toogit. Sol Consultants on Toogit are highly skilled and talented. Hiring Sol Consultants on Toogit is quite affordable as compared to a full-time employee and you can save upto 50% in business cost by hiring Sol Consultants on Toogit. Hiring Sol Consultants on Toogit is 100% safe as the money is released to the Freelancer only after you are 100% satisfied with the work.
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.
Invite and interview your preferred talent to get work done. Toogit Instant Connect helps you if you need your project started immediately.
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Review work, track working hours. Pay freelancers only if you are 100% satisfied with the work done.
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...Read More
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New companies and the entrepreneurial impulse are key elements of the U.S. economy, and perhaps part of the nation’s mythology in the American dream. The U.S. federal agency in 2002 counted around twenty three million companies and nearly twenty four million business “establishments” that generated, in total, nearly $23 billion in sales. That’s if they make it. In a 2006 article entitled, “The Seven Pitfalls of Business Failure,” economic expert Brian Head of the small Business Administration noted that 30% new businesses fail inside the first five years of operation. However with careful coming up with, establishing a new company is a successful and profitable undertaking.
Your company location determines the taxes, zoning laws, and regulations your company will be subject to. You will need to form a strategic decision regarding which state, city, and neighborhood you select to begin your company in. Where you locate your company depends in part on the location of your target market, business partners, and your personal preferences. In addition, you should consider the costs, benefits, and restrictions of different government agencies.
The decision to choosing the right business structure is very important because the type of business you decide on influences everything from daily operations, to taxes, to how much of your personal assets are at risk.
You can find the right business name with creativity and market research. Once you’ve picked your name, you should protect it by registering it with the right agencies.
You’ll want to decide on a business name that reflects your brand identity and doesn’t clash with the types of goods and services you provide. Once you take decision on a name you prefer, you would like to protect it. There are four different ways to register your company name. Every way of registering your name serves a special purpose, and some may be legally required depending on your business structure and location.
Each of those name registrations are legally independent. Most small businesses try to use an equivalent name for each kind of registration, but you’re not commonly required to.
Register your business to make it a distinct legal entity. How and where you need to register depends on your business structure and business location.
Your location and business structure determine how you’ll need to register your business. Verify those factors first, and registration becomes terribly easy. In some cases, you don’t need to register at all. If you conduct business as yourself using your legal name, you won’t need to register anywhere. But keep in mind, if you don’t register your business, you'll miss out on personal liability protection, legal benefits, and tax benefits.
Most businesses don't need to register with the federal government to become a legal entity, other than simply filing to get a federal tax ID. Small businesses sometimes register with the federal government for trademark protection or tax exempt status. If you would like to trademark your business, brand or product name, file with the United States Patent and Trademark office once you’ve formed your business. If you would like tax-exempt status for a noncommercial corporation, register your business as a tax-exempt entity with the IRS.
Getting an EIN number can help you identify your business entity. Most companies need this federal employee identification number to conduct business. An EIN is a nine-digit number that refers to only your business or non-profit entity. It is your business’s social security number. This number allows the IRS to identify your business and attach it to the correct business name for tax purposes. Just a unique business name is not enough.
Your employer identification number (EIN) is your federal tax ID. You need it to pay federal taxes, hire employees, open a bank account, and apply for business licenses and permits. You should do it right once you register your business. Your business desires a federal tax ID number if it does any of the following:
The need for a state tax ID number ties directly to whether your business must pay state taxes. Sometimes, you can use state tax ID numbers for other functions, like protection against identity theft for sole proprietors. Tax obligations differ at the state and local levels, so you'll need to check with your state's websites. To know whether you need a state tax ID, research and understand your state's laws regarding income taxes and employment taxes, the two most common forms of state taxes for small businesses.
Most small businesses need a combination of licenses and permits from both federal and state agencies. The requirements and charges vary based on your business activities, location, and government rules.
The licenses and permits you need from the state, county, or city will depend on your business activities and business location. Your business license fees will vary. States tend to regulate a broader range of activities than the centralized. As an example, business activities that are commonly regulated domestically include auctions, construction, and dry cleaning, farming, plumbing, restaurants, retail, and vending machines.
Some licenses and permits expire after a set period of time. Keep close track of when you need to renew them it's usually easier to renew than it has to apply for a new one. You'll have to analysis your own state, county, and city regulations. Industry requirements usually vary by state.
Open a business account once you are ready to start accepting or spending money as your business. A business bank account helps you keep legally compliant and protected. It also provides benefits to your customers and employees. Most business bank accounts provide perks that don't come with a standard personal bank account.
Business insurance coverage protects businesses from losses due to events that may occur during the normal course of business. There are many types of insurance for businesses including coverage for property damage, legal liability and employee-related risks. Companies evaluate their insurance needs based on potential risks, which can vary depending on the type of environment in which the company operates.
Business insurance protects you from the unexpected costs of running a business. Accidents, natural disasters, and lawsuits could run you out of business if you’re not protected with the right insurance.
Speak to insurance agents to find out what kinds of coverage makes sense for your business, and compare terms and prices to find the best deal for you. Here are six common kinds of business insurance types are:
Applying for a data scientist job can be an intimidating task as there can be many things to take care in an interview process — right from justifying the practical knowledge to showcasing the coding skills. While we have earlier discussed articles on how to crack data science interview and what are the things to keep in mind while appearing for an interview for data science-related roles. This article deals with some of the things that you might be doing wrong if ever you are rejected in a data science interview.
Here are five things you may have been doing wrong:
Not focusing on the job description: The definition of data science jobs is not always the same and may mean different roles and responsibilities for different companies. Some of the commonly required skills may be a PhD in statistics, Excel skills, machine learning generalist, Hadoop skills, Spark skills, among others. The job description largely varies for every company and it is important to thoroughly dig it and carefully look for specific skills, tools and languages. It is important to display the skills that the potential recruiter is looking for so that they can shortlist you easily.
No specific distinction of technical skills: The technical skills in data science and analytics industry is quite wide and not mentioning your strengths correctly might jeopardise your chances of cracking the interview. For instance, it might not be apt to just say machine learning skills as it might include a whole spectrum of things ranging from linear regression to neural networks. And these sub-areas might further require knowledge of specific tools and software such as Python, Keras, R or Pandas. It is always advisable to give specific skills that you master than describing generic skills as might confuse recruiters of the exact skills that you pose.
Incorrect information and rephrasing work experience: To suit the data science job roles, many a times candidates rephrase their previous work experiences such as in the IT or software domains to present it as data science job roles, which might disguise your abilities initially but expose the depth and understanding of the skills later. You might have included job description aligning in a way that suits data science job roles but you might not have a deeper experience in it, which may get noticeable by recruiters during a one-to-one interaction. Mentioning of incorrect or misleading facts may also lead to recruiters rejecting you. For instance, the resume may state achieved an accuracy of say 90% on the test run, but what are the baseline and state-of-the-art score for this dataset to claim these numbers?
No mention about the projects that you have worked on from the scratch: Many times the only projects that a candidate mention in a resume are the ones they have done on Kaggle. While Kaggle is a platform for a lot of researchers to explore avenues in data science, it also serves as a source of practice for people who aren’t a pro in data science field and are trying to make a transition, mentions a recruiter in one of the forums. There are different kinds of the audience at Kaggle such as those who are playing around with the dataset or getting to know how problem-solving in data science works like, without having actual experience in solving or creating a new data science problems. So, listing just Kaggle project might be good but not definitive of how good your data science skills are. Even if it a Kaggle project, it is better if it is done from scratch. Other than that, it is important to mention the projects that you have worked on. It gives recruiters a chance to understand the problems you faced and the way you approached the problem, thereby giving them a glance at your problem-solving abilities.
The resume is full of buzzwords and no concrete proof of your skills: While the resume may suit the job description, but there are chances that you are rejected if there are too many buzzwords in the resume and no concrete way to prove that you actually pose those skills. You may mention in the resume that you have had experience with Hadoop, Excel or certain areas, but if you have showcased it real-time on platforms such as GitHub, it convinces the potential employers of the skills you have. They can look through various projects you have been a part of and see how you have dealt with real data. Hiring managers like to see the time that a candidate has spent from start to finish. Having a portfolio gives recruiters just that. There may be fancy sounding terms in the resume, but if you don’t have a proof to showcase it, you might be rejected for a potential data science job role.
Web scraping, web harvesting, or web data extraction is data scraping used for extracting data from websites. Web scraping software may access the World Wide Web directly using the Hypertext Transfer Protocol, or through a web browser. While web scraping can be done manually by a software user, the term typically refers to automated processes implemented using a bot or web crawler. It is a form of copying, in which specific data is gathered and copied from the web, typically into a central local database or spreadsheet, for later retrieval or analysis.
Web scraping a web page involves fetching it and extracting from it. Fetching is the downloading of a page (which a browser does when you view the page). Therefore, web crawling is a main component of web scraping, to fetch pages for later processing. Once fetched, then extraction can take place. The content of a page may be parsed, searched, reformatted, its data copied into a spreadsheet, and so on. Web scrapers typically take something out of a page, to make use of it for another purpose somewhere else. An example would be to find and copy names and phone numbers, or companies and their URLs, to a list (contact scraping).
Web scraping is used for content scraping, and as a component of applications used for web indexing, web mining and data mining, online price change monitoring and price comparison, product review scraping (to watch the competition), gathering real estate listings, weather data monitoring, website change detection, research, tracking online presence and reputation, web mashup and, web data integration.
Using data scraping you can build sitemaps that will navigate the site and extract the data. Using different type selectors you will navigate the site and extract multiple types of data - text, tables, images, links and more.
Web scraping is the process of automatically mining data or collecting information from the World Wide Web. It is a field with active developments sharing a common goal with the semantic web vision, an ambitious initiative that still requires breakthroughs in text processing, semantic understanding, artificial intelligence and human-computer interactions. Current web scraping solutions range from the ad-hoc, requiring human effort, to fully automated systems that are able to convert entire web sites into structured information, with limitations.
In order to remain competitive, businesses must be able to act quickly and assuredly in the markets. Web Scraping plays a big role in the development of various business organizations that use the services.
The benefits of these services are:
It’s important to note that not all scraper will be ideal fits for every project. For example, those with highly analytical backgrounds in software engineering would be ideal for developing algorithms but may not be the right fit for a data scraping project. That’s why it’s so important to understand what type of scraping expert will bring the most benefit to your company and business goals.
What is the overall learning you hope to find?
By including your goal in the project description, it allows professionals to better understand what type of work is required.
What core skills will scraping experts need to complete the project?
The answer will revolve around your current data infrastructure and the processes used to extract information.
Would you benefit from someone with highly specialized skills in a few areas of data scraping, or would a well-rounded expert serve you better?
Are there any time constraints to consider with this project?
Let professionals know the amount of hours of work that might be involved.
What kind of budget will this project have?
The more experience and expertise a data scraper has, the higher they expect to be compensated. Higher budgets will more likely give top-tier experts a reason to submit a proposal.
Below is a sample of how a project description may look. Keep in mind that many people use the term “job description,” but a full job description is only needed for employees. When engaging a freelancer as an independent contractor, you typically just need a statement of work, job post, or any other document that describes the work to be done.
ABC Company is looking for a web scraping expert to help us study our website traffic patterns and find areas of improvement. This project is estimated to require approximately 20-25 hours per week for the next few months to achieve the following goals
The following skills are required:
The ideal freelancer will be a creative problem solver with an excellent work history on Toogit. To submit a proposal, please send a short summary of similar projects you’ve completed and why we should consider you for this project.
Remember that technical ability is only a small portion of what makes an excellent web scraper. Great web scrapers are inquisitive—they want to ensure that they’re seeking the right types of answers, plus they’ll take an interest in your business to better understand it. The ideal professional will also be able to advise you on additional metrics to analyze and compare in order to help you meet your goals.
Also, keep in mind that communication is always a key consideration in the data science field. A brief interview can allow you to gauge how strong each professional is in expressing ideas and explaining their process. The more you speak to each professional by phone, email, or chat, the better you’ll be able to gauge their professionalism and communication skills and determine whether they’re right for your project.
New companies and the entrepreneurial impulse are key elements of the U.S. economy, and perhaps part of the nation’s mythology in the American dream. The U.S. federal agency in 200...Read More
Applying for a data scientist job can be an intimidating task as there can be many things to take care in an interview process — right from justifying the practical knowledge to sh...Read More
What is a web scraping?Web scraping, web harvesting, or web data extraction is data scraping used for extracting data from websites. Web scraping software may access the World Wide...Read More
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