Thursday, July 30, 2020
7 Signs Your Child Displays Bullying Tendencies (And What To Do About It)
7 Signs Your Child Displays Bullying Tendencies (And What To Do About It) Perceiving menace qualities in your own kid can be a test for any parent. Nonetheless, its essential to analyze these attributes as unbiasedly as could reasonably be expected, so as to enable your child to turn their conduct around and grow progressively useful strategies for socialization. On the off chance that your kid displays any mix of these 7 signs, youll need to make direct move to switch their harassing tendencies.1. Their instructor informs you regarding hazardous, introverted practices at school.Even if your youngster hasnt gotten discovered harassing, their educator may have seen other standoffish practices (like pulling back from the gathering, getting regional about their assets, or beginning contentions) that she wants to impart to you. Menaces much of the time pick other not really lovely methods of cooperating with their companions, so if your childs instructor has cautioned you about these activities from your child, tormenting conduct may not be a long ways behind. The most ideal approach to deal with these conversations is to keep a receptive outlook and to maintain a strategic distance from preventiveness, understanding that the educator is sharing this data to support her understudies, your kid included.2. They decide to spend time with other forceful kids.Bullying is frequently a gathering action, with a solid component of rivalry. In the event that your youngster decides to spend time with forceful children who continually attempt to one-up one another (to the detriment of other kids), at that point theres a decent possibility that the individual is taking part in comparative harassing practices. While restricting your childs access to their harasser esque companions can be useful, your initial step ought to be a sincere talk with your child, wherein you attempt to discover what attracts the person in question to this gathering and how they can address those issues in more beneficial ways.3. They can generally concoct mental supports for their vicious activities or harsh words.When your youngster plans something heartless for another child, does the individual in question really apologize for what theyve done? Or on the other hand, does your child invest their opportunity and vitality thinking of defenses for their conduct? In the event that the last is valid, that may demonstrate an absence of regret, which can sustain harassing. These inward propensities arent simple to disperse, however reassuring your kid to assume liability for their activities and considering them responsible can emphatically widen their perspectives.4. They invest critical energy on the web yet are cryptic when gotten some information about it.The web is a significant power on the planet everywhere, and children of all character types speak with their companions and schoolmates on the web. In any case, if your child invests extensive energy on the web however doesnt share subtleties when asked, at that point its conceivable that the individu al in question is participating in the quickly developing movement of cyberbullying. Effectively observing your childs web utilization and restricting their entrance on the off chance that you notice harassing can lessen this problem.5. At the point when confronted with instances of harassing, they dont feel for the victims.Bullies dont ordinarily sympathize with their objectives; they persuade themselves that the tormented children merit their mocking. In the event that your child cannot identify with the casualties of tormenting (even from a theoretical perspective), at that point the individual in question might be identifying with the domineering jerks. Demand that your youngster think about the points of view of the people in question; dont let the person in question overlook the agony brought about by tormenting behavior.6. Theyre irascible and effectively frustrated.Kids who participate in tormenting frequently have fast tempers and little persistence. A youngster who goes of f the wall crazy with even the smallest incitement may channel that animosity into tormenting. Empowering postponed delight and furnishing your youngster with a sheltered and secure condition can support that person subdue their wrath and comprehend the significance of waiting.7. They have a background marked by being harassed themselves.Sometimes, survivors of tormenting choose to recover their capacity by turning out to be menaces themselves. Its an endless loop, yet an unfortunately normal one. On the off chance that your youngster has been forced to bear harassing conduct, make yourself accessible for discussions on the subject, disclosing to your child that counter isnt the appropriate response.- -
Thursday, July 23, 2020
So Youve Hit A Career Plateau- Now What Part 2 - Hallie Crawford
So Youâve Hit A Career Plateau- Now What Part 2 Hallie was honored to be featured in a recent Glassdoor article about getting out of a career plateau. As a follow up to this article, we wanted to share some additional tips with you. If you find that you are in a career plateau, talk to your mentor about informational interviews and new networking connections. If you find that your current place of employment no longer gives you fulfillment and you really need a career change, or if you just canât seem to move up in your current organization, try scheduling informational interviews. These interviews could be with contacts in other organizations or career paths. Discuss with your mentor what careers or organizations might be a good fit for you. This will help you to make an informed decision about a new career path before you make the jump. To get out of your career plateau, you will need all the support you can get. Many business professionals have been in your shoes and are glad to share their tips and advice with others. Ask your mentor about possible networking possibilities for you. Your network can give you advice that can give you the extra push you need to get out of your career plateau.
Thursday, July 16, 2020
How to Get a Permit to Work in the U.S.
Step by step instructions to Get a Permit to Work in the U.S. Step by step instructions to Get a Permit to Work in the U.S. Every single United State businesses are required to affirm that representatives are lawfully ready to work in the U.S. In the event that an individual isn't a resident or a legal lasting occupant of the United States they will require a license to work, authoritatively known as an Employment Authorization Document (EAD), to demonstrate qualification to work in the U.S. It is the obligation of the two gatherings to appear and require confirmation of legitimate business status. Representatives are required to demonstrate that they are authorized to work in the US, and managers are required to check the character and qualification to work for all new employees. Outside Nationals Permitted to Work in the U.S. There are a few classifications of outside specialists allowed to work in the United States including changeless outsider laborers, impermanent (non-settler) laborers, and understudy and trade laborers. The classifications of laborers allowed to work in the U.S. include: Resident of the United StatesNon resident national of the United StatesLawful lasting residentAn outsider approved to work Outside laborers who might be approved to work in the U.S. include: Brief (non-settler) Workers: A temporary worker is an individual looking to enter the United States incidentally for a particular reason. Non-foreigners enter the United States for a transitory timeframe, and once in the United States, are confined to the movement or purpose behind which their non-settler visa was issued.Permanent (Immigrant) Workers: A perpetual laborer is a person who is approved to live and work for all time in the United States.Students and Exchange Visitors: Students may, in specific situations, be permitted to work in the United States. Be that as it may, they should acquire authorization from an approved authority at their school. The approved authority is known as a Designed School Official (DSO) for understudies and the Responsible Officer (RO) for trade guests. Trade guests might be qualified to work incidentally in the U.S. by means of the exchange guest visa program. Instructions to Get a Permit to Work in the U.S. An Employment Authorization Document (EAD), otherwise called an EAD card, work grant, or working grant, is an archive given by United States Citizenship and Immigration Services (USCIS) that demonstrates that the holder is approved to work in the United States. An EAD is a plastic card that is typically substantial for one year and is inexhaustible and replaceable. Candidates for an EAD can ask for: Authorization to acknowledge employmentReplacement (of a lost EAD)Renewal of consent to acknowledge work Qualification for an EAD US residents and perpetual occupants needn't bother with an Employment Authorization Document or some other working license to work in the United States, other than their Green Card if they are a permanent inhabitant. All workers, including U.S. residents and lasting occupants, do need to demonstrate qualification to work in the US. The Employment Authorization Document is evidence to your manager that you are lawfully permitted to work in the United States. The accompanying classes of remote laborers are qualified to apply for an Employment Authorization Document: Asylees and shelter seekersRefugeesStudents looking for specific kinds of employmentForeign nationals in the United States seeking after the last phase of perpetual residenceNationals of specific nations given Temporary Protected Status (TPS) because of conditions in their home countriesFiances and mates of U.S. citizensDependents of remote government officialsJ-2 companions or minor offspring of trade visitorsOther laborers relying upon conditions. Moreover, numerous recipients and their wards are qualified to work in the United States or all the more explicitly for a specific business therefore of their non-worker status. The most effective method to Apply for an Employment Authorization Document (EAD) Data on qualification and structures to apply for an EAD are accessible on the United States Citizenship and Immigration Services site. Recharging Employment Authorization Documents (EADs) In the event that you have legally worked in the United States and your EAD has or will terminate, you may petition for a restored EAD with the Form I-765, Application for Employment Authorization. A worker can petition for a recharging EAD before the first lapses, inasmuch as the application isn't handled over 120 days before expiry. Supplanting an EAD EAD card are swapped for a wide range of reasons. On the off chance that a card is lost, taken, or contains off base data, it might be important to document another Form I-765 and pay a recording charge. In the event that a misstep has been made because of a blunder by a USCIS preparing focus, the Form and documenting charges are not required. Now and again, an expense waiver can be mentioned for any charges caused. Boss Verification of Authorization to Work in the US At the point when recruited for a new position, representatives are required to demonstrate that they are lawfully qualified for work in the United States. Businesses are required to check the qualification to work and the character and of every single fresh recruit. An Employment Eligibility Verification form (I-9 structure) must be finished and kept on document by the business. Managers must confirm that a person whom they intend to utilize or keep on utilizing in the United States is approved to acknowledge work in the United States. People, for example, the individuals who have been admitted as changeless occupants, conceded shelter or outcast status, or conceded in business related nonimmigrant characterizations, may have work approval as an immediate consequence of their movement status. Different outsiders may need to apply individually for business approval, including for qualification to work at a transitory situation in the US. Confirmation of Eligibility to Work Representatives must present unique records, not copies, to their manager when they are employed. The main special case is a representative may introduce a certified duplicate of a birth endorsement. On the structure, the business must check the employment qualification and character documents presented by the worker and record the document data on an I-9 structure. The data contained in this article isn't lawful exhortation and is definitely not a substitute for such guidance. Laws change as often as possible, and the data in this article may not mirror the latest changes to the law.
Thursday, July 9, 2020
A Brief Introduction To Markov Chains
A Brief Introduction To Markov Chains Introduction To Markov Chains With Examples Markov Chains With Python Back Home Categories Online Courses Mock Interviews Webinars NEW Community Write for Us Categories Artificial Intelligence AI vs Machine Learning vs Deep LearningMachine Learning AlgorithmsArtificial Intelligence TutorialWhat is Deep LearningDeep Learning TutorialInstall TensorFlowDeep Learning with PythonBackpropagationTensorFlow TutorialConvolutional Neural Network TutorialVIEW ALL BI and Visualization What is TableauTableau TutorialTableau Interview QuestionsWhat is InformaticaInformatica Interview QuestionsPower BI TutorialPower BI Interview QuestionsOLTP vs OLAPQlikView TutorialAdvanced Excel Formulas TutorialVIEW ALL Big Data What is HadoopHadoop ArchitectureHadoop TutorialHadoop Interview QuestionsHadoop EcosystemData Science vs Big Data vs Data AnalyticsWhat is Big DataMapReduce TutorialPig TutorialSpark TutorialSpark Interview QuestionsBig Data TutorialHive TutorialVIEW ALL Blockchain Blockchain TutorialWhat is BlockchainHyperledger FabricWhat Is EthereumEthereum TutorialB lockchain ApplicationsSolidity TutorialBlockchain ProgrammingHow Blockchain WorksVIEW ALL Cloud Computing What is AWSAWS TutorialAWS CertificationAzure Interview QuestionsAzure TutorialWhat Is Cloud ComputingWhat Is SalesforceIoT TutorialSalesforce TutorialSalesforce Interview QuestionsVIEW ALL Cyber Security Cloud SecurityWhat is CryptographyNmap TutorialSQL Injection AttacksHow To Install Kali LinuxHow to become an Ethical Hacker?Footprinting in Ethical HackingNetwork Scanning for Ethical HackingARP SpoofingApplication SecurityVIEW ALL Data Science Python Pandas TutorialWhat is Machine LearningMachine Learning TutorialMachine Learning ProjectsMachine Learning Interview QuestionsWhat Is Data ScienceSAS TutorialR TutorialData Science ProjectsHow to become a data scientistData Science Interview QuestionsData Scientist SalaryVIEW ALL Data Warehousing and ETL What is Data WarehouseDimension Table in Data WarehousingData Warehousing Interview QuestionsData warehouse architectureTalend T utorialTalend ETL ToolTalend Interview QuestionsFact Table and its TypesInformatica TransformationsInformatica TutorialVIEW ALL Databases What is MySQLMySQL Data TypesSQL JoinsSQL Data TypesWhat is MongoDBMongoDB Interview QuestionsMySQL TutorialSQL Interview QuestionsSQL CommandsMySQL Interview QuestionsVIEW ALL DevOps What is DevOpsDevOps vs AgileDevOps ToolsDevOps TutorialHow To Become A DevOps EngineerDevOps Interview QuestionsWhat Is DockerDocker TutorialDocker Interview QuestionsWhat Is ChefWhat Is KubernetesKubernetes TutorialVIEW ALL Front End Web Development What is JavaScript â" All You Need To Know About JavaScriptJavaScript TutorialJavaScript Interview QuestionsJavaScript FrameworksAngular TutorialAngular Interview QuestionsWhat is REST API?React TutorialReact vs AngularjQuery TutorialNode TutorialReact Interview QuestionsVIEW ALL Mobile Development Android TutorialAndroid Interview QuestionsAndroid ArchitectureAndroid SQLite DatabaseProgramming Markov Chains With Pyth on Published on Jul 02,2019 6.1K Views Zulaikha Lateef Zulaikha is a tech enthusiast working as a Research Analyst at Edureka. Zulaikha is a tech enthusiast working as a Research Analyst at Edureka. Bookmark 3 / 7 Blog from Statistical Inference Become a Certified Professional Introduction To Markov Chains:Have you ever wondered how Google ranks web pages? If youve done your research then you must know that it uses the PageRank Algorithm which is based on the idea of Markov chains. This article on Introduction To Markov Chains will help you understand the basic idea behind Markov chains and how they can be modeled as a solution to real-world problems.Heres a list of topics that will be covered in this blog:What Is A Markov Chain?What Is The Markov Property?Understanding Markov Chains With An ExampleWhat Is A Transition Matrix?Markov Chain In PythonMarkov Chain ApplicationsTo get in-depth knowledge on Data Science and Machine Learning using Python, you can enroll for live Data Science Certification Training by Edureka with 24/7 support and lifetime access.What Is A Markov Chain?Andrey Markov first introduced Markov chains in the year 1906. He explained Markov chains as:A stochastic process containing random variables, transitioning from one state to another depending on certain assumptions and definite probabilistic rules. These random variables transition from one to state to the other, based on an important mathematical property called Markov Property.This brings us to the question:What Is The Markov Property?Discrete Time Markov Property states that the calculated probability of a random process transitioning to the next possible state is only dependent on the current state and time and it is independent of the series of states that preceded it.The fact that the next possible action/ state of a random process does not depend on the sequence of prior states, renders Markov chains as a memory-less process that solely depends on the current state/action of a variable.Lets derive this mathematically:Let the random process be, {Xm, m=0,1,2,}.This process is a Markov chain only if,Markov Chain Introduction To Markov Chains Edurekafor all m, j, i, i0, i1, im1For a finite number of states, S={0, 1, 2, , r}, this is called a finite Markov chain.P(Xm+1 = j|Xm = i) here represents the transition probabilities to transition from one state to the other. Here, were assuming that the transition probabilities are independent of time.Which means that P(Xm+1 = j|Xm = i) does not depend on the value of m. Therefore, we can summarise,Markov Chain Formula Introduction To Markov Chains EdurekaSo this equation represents the Markov chain.Now lets understand what exactly Markov chains are with an example.Markov Chain ExampleBefore I give you an example, lets define what a Markov Model is:What Is A Markov Model?A Markov Model is a stochastic model that models random variables in such a manner that the variables follow the Markov property.Now lets u nderstand how a Markov Model works with a simple example.As mentioned earlier, Markov chains are used in text generation and auto-completion applications. For this example, well take a look at an example (random) sentence and see how it can be modeled by using Markov chains.Markov Chain Example Introduction To Markov Chains EdurekaThe above sentence is our example, I know it doesnt make much sense (it doesnt have to), its a sentence containing random words, wherein:Keys denote the unique words in the sentence, i.e., 5 keys (one, two, hail, happy, edureka)Tokens denote the total number of words, i.e. 8 tokens.Moving ahead, we need to understand the frequency of occurrence of these words, the below diagram shows each word along with a number that denotes the frequency of that word.Keys And Frequencies Introduction To Markov Chains EdurekaSo the left column here denotes the keys and the right column denotes the frequencies.From the above table, we can conclude that the key edureka comes up 4x as much as any other key. It is important to infer such information because it can help us predict what word might occur at a particular point in time. If I were to take a guess about the next word in the example sentence, I would go with edureka since it has the highest probability of occurrence.Speaking about probability, another measure you must be aware of is weighted distributions.In our case, the weighted distribution for edureka is 50% (4/8) because its frequency is 4, out of the total 8 tokens. The rest of the keys (one, two, hail, happy) all have a 1/8th chance of occurring ( 13%).Now that we have an understanding of the weighted distribution and an idea of how specific words occur more frequently than others, we can go ahead with the next part.Understanding Markov Chains Introduction To Markov Chains EdurekaIn the above figure, Ive added two additional words which denote the start and the end of the sentence, you will understand why I did this in the below se ction.Now lets assign the frequency for these keys as well:Updated Keys And Frequencies Introduction To Markov Chains EdurekaNow lets create a Markov model. As mentioned earlier, a Markov model is used to model random variables at a particular state in such a way that the future states of these variables solely depends on their current state and not their past states.So basically in a Markov model, in order to predict the next state, we must only consider the current state.In the below diagram, you can see how each token in our sentence leads to another one. This shows that the future state (next token) is based on the current state (present token). So this is the most basic rule in the Markov Model.The below diagram shows that there are pairs of tokens where each token in the pair leads to the other one in the same pair.Markov Chain Pairs Introduction To Markov Chains EdurekaIn the below diagram, Ive created a structural representation that shows each key with an array of next possible tokens it can pair up with.An array of Markov Chain Pairs Introduction To Markov Chains EdurekaTo summarize this example consider a scenario where you will have to form a sentence by using the array of keys and tokens we saw in the above example. Before we run through this example, another important point is that we need to specify two initial measures:An initial probability distribution ( i.e. the start state at time=0, (Start key))A transition probability of jumping from one state to another (in this case, the probability of transitioning from one token to the other)Weve defined the weighted distribution at the beginning itself, so we have the probabilities and the initial state, now lets get on with the example.So to begin with the initial token is [Start]Next, we have only one possible token i.e. [one]Currently, the sentence has only one word, i.e. oneFrom this token, the next possible token is [edureka]The sentence is updated to one edurekaFrom [edureka] we can move to any one of the following tokens [two, hail, happy, end]There is a 25% chance that two gets picked, this would possibly result in forming the original sentence (one edureka two edureka hail edureka happy edureka). However, if end is picked then the process stops and we will end up generating a new sentence, i.e., one edureka.Give yourself a pat on the back because you just build a Markov Model and ran a test case through it. To summarise the above example, we basically used the present state (present word) to determine the next state (next word). And thats exactly what a Markov process is.It is a stochastic process wherein random variables transition from one state to the other in such a way that the future state of a variable only depends on the present state.Lets take it to the next step and draw out the Markov Model for this example.State Transition Diagram Introduction To Markov Chains EdurekaThe above figure is known as the State Transition Diagram. Well talk more about thi s in the below section, for now just remember that this diagram shows the transitions and probability from one state to another.Notice that each oval in the figure represents a key and the arrows are directed toward the possible keys that can follow it. Also, the weights on the arrows denote the probability or the weighted distribution of transitioning from/to the respective states.So that was all about how the Markov Model works. Now lets try to understand some important terminologies in the Markov Process.What Is A Transition Probability Matrix?In the above section we discussed the working of a Markov Model with a simple example, now lets understand the mathematical terminologies in a Markov Process.In a Markov Process, we use a matrix to represent the transition probabilities from one state to another. This matrix is called the Transition or probability matrix. It is usually denoted by P.Transition Matrix Introduction To Markov Chains EdurekaNote, pij0, and i for all values is, Transition Matrix Formula Introduction To Markov Chains EdurekaLet me explain this. Assuming that our current state is i, the next or upcoming state has to be one of the potential states. Therefore, while taking the summation of all values of k, we must get one.What Is A State Transition Diagram?A Markov model is represented by a State Transition Diagram. The diagram shows the transitions among the different states in a Markov Chain. Lets understand the transition matrix and the state transition matrix with an example.Transition Matrix ExampleConsider a Markov chain with three states 1, 2, and 3 and the following probabilities:Transition Matrix Example Introduction To Markov Chains EdurekaState Transition Diagram Example Introduction To Markov Chains EdurekaThe above diagram represents the state transition diagram for the Markov chain. Here, 1,2 and 3 are the three possible states, and the arrows pointing from one state to the other states represents the transition probabiliti es pij. When, pij=0, it means that there is no transition between state i and state j.Now that we know the math and the logic behind Markov chains, lets run a simple demo and understand where Markov chains can be used.Markov Chain In PythonTo run this demo, Ill be using Python, so if you dont know Python, you can go through these following blogs:Python Tutorial A Complete Guide to Learn Python ProgrammingHow to Learn Python 3 from Scratch A Beginners GuidePython Programming Language Head start With Python BasicsA Beginners Guide To Python FunctionsNow lets get started with coding!Markov Chain Text GeneratorProblem Statement: To apply Markov Property and create a Markov Model that can generate text simulations by studying Donald Trump speech data set.Data Set Description: The text file contains a list of speeches given by Donald Trump in 2016.Logic: Apply Markov Property to generate Donalds Trumps speech by considering each word used in the speech and for each word, create a dicti onary of words that are used next.Step 1: Import the required packages import numpy as np Step 2: Read the data set trump = open('C://Users//NeelTemp//Desktop//demos//speeches.txt', encoding='utf8').read() #display the data print(trump) SPEECH 1 ...Thank you so much. That's so nice. Isn't he a great guy. He doesn't get a fair press; he doesn't get it. It's just not fair. And I have to tell you I'm here, and very strongly here, because I have great respect for Steve King and have great respect likewise for Citizens United, David and everybody, and tremendous resect for the Tea Party. Also, also the people of Iowa. They have something in common. Hard-working people.... Step 3: Split the data set into individual words corpus = trump.split() #Display the corpus print(corpus) 'powerful,', 'but', 'not', 'powerful', 'like', 'us.', 'Iran', 'has', 'seeded', 'terror',... Next, create a function that generates the different pairs of words in the speeches. To save up space, well use a generator object.Step 4: Creating pairs to keys and the follow-up words def make_pairs(corpus): for i in range(len(corpus) - 1): yield (corpus[i], corpus[i + 1]) pairs = make_pairs(corpus) Next, lets initialize an empty dictionary to store the pairs of words.In case the first word in the pair is already a key in the dictionary, just append the next potential word to the list of words that follow the word. But if the word is not a key, then create a new entry in the dictionary and assign the key equal to the first word in the pair.Step 5: Appending the dictionary word_dict = {} for word_1, word_2 in pairs: if word_1 in word_dict.keys(): word_dict[word_1].append(word_2) else: word_dict[word_1] = [word_2] Next, we randomly pick a word from the corpus, that will start the Markov chain.Step 6: Build the Markov model #randomly pick the first word first_word = np.random.choice(corpus) #Pick the first word as a capitalized word so that the picked word is not taken from in between a sentence while first_word.islower(): #Start the chain from the picked word chain = [first_word] #Initialize the number of stimulated words n_words = 20 Following the first word, each word in the chain is randomly sampled from the list of words which have followed that specific word in Trumps live speeches. This is shown in the below code snippet: for i in range(n_words): chain.append(np.random.choice(word_dict[chain[-1]])) Step 7: PredictionsFinally, lets display the stimulated text. #Join returns the chain as a string print(' '.join(chain)) The number of incredible people. And Hillary Clinton, has our people, and such great job. And we wont be beating Obama So this is the generated text I got by considering Trumps speech. It might not make a lot of sense but it is good enough to make you understand how Markov chains can be used to automatically generate texts.Now lets look at some more applications of Markov chains and how theyre used to solve real-world problems.Markov Chain ApplicationsHeres a list of real-world applications of Markov chains:Google PageRank: The entire web can be thought of as a Markov model, where every web page can be a state and the links or references between these pages can be thought of as, transitions with probabilities. So basically, irrespective of which web page you start surfing on, the chance of getting to a certain web page, say, X is a fixed probability.Typing Word Prediction:Markov chains are known to be used for predicting upcoming words. They can also be used in auto-completion and suggestions.Subreddit Simulation: Surely youve come across Reddit and had an interaction on one of their threads or subre ddits. Reddit uses a subreddit simulator that consumes a huge amount of data containing all the comments and discussions held across their groups. By making use of Markov chains, the simulator produces word-to-word probabilities, to create comments and topics.Text generator:Markov chains are most commonly used to generate dummy texts or produce large essays and compile speeches. It is also used in the name generators that you see on the web.Now that you know how to solve a real-world problem by using Markov Chains, Im sure youre curious to learn more. Heres a list of blogs that will help you get started with other statistical concepts:A Complete Guide To Math And Statistics For Data ScienceAll You Need To Know About Statistics And ProbabilityPython for Data Science How to Implement Python LibrariesWith this, we come to the end of this Introduction To Markov Chains blog. If you have any queries regarding this topic, please leave a comment below and well get back to you.Stay tuned fo r more blogs on the trending technologies.If you are looking for online structured training in Data Science, edureka! has a specially curated Python Data Science Certification Training program which helps you gain expertise in Statistics, Data Wrangling, Exploratory Data Analysis, Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, Naive Bayes. Youll learn the concepts of Time Series, Text Mining and an introduction to Deep Learning as well. 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Thursday, July 2, 2020
North American Road Trip Planner - 6 Amazing Routes
North American Road Trip Planner - 6 Amazing Routes North American Road Trip Planner 6 Amazing Routes IMAGE SOURCE: VISITCALIFORNIAENCOMPASSING no fewer than 23 countries, the immense geographic expanse of North America is a veritable dreamscape for a driving holiday, encompassing territory and scenery of breathtaking beauty, as well as the worldâs most famous man-made visitor attractions. Any road trip planner considering North America will also find incredible motoring holiday routes. AGENTâs North American road trip planner has a half-dozen of the worldâs most incredible driving routes. (adsbygoogle = window.adsbygoogle || []).push({}); 1. Denali Highway, AK, USAImage Source: DENALIHWYTHE Denali Highway extends for more than 135 miles through undeveloped land that shows the raw beauty of Alaska to best advantage. Also known as Alaska Route 8, visitors are treated to breathtaking views of Mount McKinley and beautiful rural scenery.2. Icefields Parkway, CanadaImage Source: icefieldsparkwayICEFIELDS Parkway is a route that conveys fully the sheer immensity of that section of the Rockies that lies within Canadian territory. The top quality highway surfaces are top-quality, allowing for a smooth, comfortable and predictable drive among some of the worldâs most dramatic peaks and valleys. (adsbygoogle = window.adsbygoogle || []).push({}); 3. Highway 1, CA, USAImage Source: visitcaliforniaPARTS of Highway 1 are among the worldâs most famous driving routes, in particular those parts of it designated as the Pacific Coast Highway. This makes the route a must for our North American road trip planner. One Californian tip for visitors is to take the Highway 1 Classic, a five-to-seven day trip along this coastal-hugging highway from San Diego up to Los Angeles, though Santa Barbara and wine country, before heading north to the beaches of Carmel, Monterey and Santa Cruz and ending up in San Francisco. Highway 1 has its own unofficial theme tune, the 1972 hit by America, Ventura Highway, whose author Dewey Bunnell told a 2001 documentary that the tuneâs subject matter and iconic twin-guitar hook was inspired by âa mental picture of the stretch of the coastline traveling with my family when I was younger. Ventura Highway itself, there is no such beast, what I was really trying to depict was the Pacific Coast Highway, Highway 1, which goes up to the town of Ventura.âVideo Source: YouTube4. Deals Gap, TN, USAImage Source: dealsgapPOPULAR for its seemingly endless amount of curves and bends, Deals Gap, also known as the âTail of the Dragonâ, is an extremely popular and exciting route in Tennessee, especially for motorcyclists. One of the most dramatic additions to any North American road trip planner. (adsbygoogle = window.adsbygoogle || []).push({}); 5. Pan-American HighwayImage Source: wikitravelTHE Pan-American Highway is a key route for many motorists. A drive through almost 48,000km of roads from Alaska to South America, it remains a somewhat loosely defined dream. Canada has never officially defin ed specific routes; the US designation of its Interstate Highway System is not reinforced by official signage; and in Panama, the Darién Gapâs 100km of impenetrable mountainous jungle terrain unavoidably breaks the highway link. However, the North American stretch of the highway from Prudhoe Bay in Alaska down to the Darién Gap, makes possible a 26,000km drive through numerous countries and a stunning range of scenery and climactic conditions.6. Cabot Trail, Nova Scotia, CanadaImage Source: wikiMediA COMMONS / photography: TONY WEBSTERTHIS drive in Nova Scotia is around 185 miles long and spirals around the northern section of Cape Breton Island. The Cabot Trail takes several hours to complete, as many visitors will want to take in the beauty and awe of towns and views along the scenic trip.
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