A Social Media Manager Is A Person Who Can Help You Gain Further Online Visibility: When You Start A

GIF showing the concept of holding the cloud (computing cloud) in the palm of your hands, for use in a cybersecurity article about cloud computing security.

28.05: planning a three month long break; using a mug that's been lying on my shelf unused since forever; making some progress on my reading; creating my portfolio

i have about three months before my masters begins, and i want to use it extensively to learn subjects that i don't get to study academically or professionally. i'm also planning to learn sanskrit. i don't have a lot of confidence for it, but i'm gonna try anyway.

self study requires so much discipline. being a designer, my graduation in the design field didn't require me to "study" as much. in fact, i've not had a written exam in like 6 years. i did have a lot of presentations, case studies and juries though, which seems worse to me. but i think that's a classic case of the grass being greener on the other side.

my neurodivergent brain created a massive list of hobbies to pursue, subjects to learn and books to read. i'm really excited for the next three months though, it's all about how i plan and prioritise the things i want to do. (i won't, it's gonna be a chaotic hot mess but let's humour my enthusiasm).

. “Affection is when you see someone’s strengths; love is when you accept someone’s flaws.” – One Day  #RelationshipGoals 

Successful employees do what they say they will do. How to maintain a company's employees' discipline?

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Homan Ardalan Los Angeles Ways To Nurture Business Leads Through Social Media Marketing

Most companies at the moment are using social media structures for their campaigns. This is due to the fact they provide low-value advertising and marketing to a selected target market. Here we get to know more about, Homan Ardalan Los Angeles - Need A Good Lead Generation Strategy For Your Business? Here Is All You Need To Know.

Social media campaigns have usually remained a vital part of the virtual advertising and marketing domain. In the early days, humans used to assume that social media is simply any other shape of emblem constructing medium. At that time, small companies promoted content material on social media. This content material ranged from bloodless calling to social spamming. All in all, it became a successful and pass-over scenario, in which measuring go back became a first-rate problem.

Later, in 2010, Facebook delivered paid advertising and marketing. It allowed entrepreneurs to target social media customers primarily based totally on their interests. This opened an entirely new bankruptcy in virtual advertising and marketing. Following suit, different social media structures additionally rolled out their paid advertising and marketing channels. This allowed social media entrepreneurs with even greater avenues for advertising and marketing.

Social Media Lead Generation Facts Here are some statistics about social media advertising and marketing you must understand to make a result-oriented social media method for your business.

You can use this tip to generate leads for real estate investment. Read more on: Homan Ardalan - How to Increase Your Chances of Real Estate Investment Success

Social Media Lead Generation vs Lead Nurturing Many entrepreneurs cannot differentiate between the lead era and lead nurturing concepts. Here is a quick clarification of every and why they're vital.

Social Media Lead Generation A lead is surely a deal with a smartphone number and ID that enables the entrepreneur's goal in their target market. Usually, entrepreneurs ask for a call or an email deal for advertising and marketing to customers.

Social media is a surprisingly applicable manner to accumulating leads. You can do each sort of advertising and marketing which includes natural and paid on a social media platform. Marketers also can sell content material via groups/communities, or via sponsored/local ads.

Social Media Lead Nurturing A lead amassed via any medium is normally bloodless, says Homan. You want to make it heat earlier than you may in the marketplace. Therefore, maximum entrepreneurs nurture social media leads with the aid of taking them via a funnel.

Speaking of concentrating on the proper type of target market, you may additionally strive to concentrate on high-priced price tag customers as they convey greater sales to the table. To accumulate high-price price tag customers is an entirely different bankruptcy though.

Social media channels additionally permit nurturing leads with the aid of using clever remarketing strategies. Marketers can accumulate leads after which they remarket them to show the heat. They can use polls, videos, and paperwork properly on the platform to ship customized messages. This enables nurture leads in a higher manner.

Many companies begin social media advertising and marketing without a doubt described purpose. If you need to transform the proper social media leads, you ought to get clean in your income process.

Top Construction Project Challenges:

1. Cost Overruns: Due to inaccurate estimates and scope changes.

2. Schedule Delays: Caused by weather, material delays, and labor shortages.

3. Labor Shortages: Lead to delays and higher costs.

4. Design Errors: Result in rework and increased costs.

5. Regulatory Issues: Cause delays and legal complications.

6. Safety Risks: Lead to injuries and project delays.

7. Environmental Concerns: Require redesigns and delay projects.

8. Supply Chain Disruptions: Delay projects and raise costs.

9. Stakeholder Conflicts: Lead to disputes and delays.

10. Technology Integration: Resistance causes inefficiencies.

11. Risk Management: Poor planning leads to project failures.

12. Quality Control: Results in rework and legal issues.

13. Scope Creep: Causes budget overruns and delays.

14. Communication Breakdown: Leads to mistakes and conflicts.

15. Financial Management: Poor cash flow causes project stoppages.

- Mitigation: Effective planning, communication, risk management, and quality control are essential.

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Emotional intelligence in project management Emotional intelligence (EI) plays a crucial role in project management, perhaps even more so than technical skills in many cases.

Effective Communication: Project management involves constant communication with team members, stakeholders, and clients. High EI enables project managers to communicate effectively, listen actively, and convey their messages clearly, which helps in resolving conflicts, managing expectations, and building rapport.

Conflict Resolution: Conflicts are inevitable in projects due to differing opinions, priorities, and objectives. Emotionally intelligent project managers can navigate conflicts constructively by understanding the underlying emotions, managing their own emotions, and empathizing with the perspectives of others. This leads to quicker resolution and maintains positive relationships within the team.

Team Building: Building and leading a successful project team requires more than just technical skills. EI allows project managers to create a positive work environment, foster trust among team members, and motivate them to perform at their best.

Adaptability and Resilience: Projects often face unexpected challenges, setbacks, and changes. Emotionally intelligent project managers are adaptable and resilient, able to manage stress, stay calm under pressure, and quickly pivot when necessary.

Stakeholder Management: Project success depends not only on meeting technical requirements but also on satisfying the needs and expectations of various stakeholders. EI enables project managers to understand stakeholders' perspectives, anticipate their concerns, and manage relationships effectively, ultimately leading to greater stakeholder satisfaction and support

Decision Making: Emotionally intelligent project managers are adept at making decisions that balance rational analysis with empathy and intuition. They consider the impact on all stakeholders, weigh alternatives objectively, and are not swayed by personal biases or emotions, resulting in better decisions for the project.

Influence and Leadership: Leadership is a fundamental aspect of project management, and EI is closely tied to effective leadership. Emotionally intelligent leaders inspire and influence others through their authenticity, empathy, and ability to connect on a human level, rallying the team around a common vision and purpose. In essence, emotional intelligence is the foundation upon which successful project management is built. While technical skills and knowledge are essential, it's the ability to understand and manage emotions, both within oneself and in others, that truly sets exceptional project managers apart.

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Top 10 Data Science Project Ideas For Beginners - 2021

If you are an aspiring data scientist, then it is mandatory to involve in live projects to hone up your skills. These projects will help you to brush up your knowledge on knowledge and skills and boost up your career path. Now, if you write about those live projects on your resume, then there is a very good chance that you land up with your dream job on data science. But to be a top-notch data science engineer, it is essential to work on various projects. For this, it is important to know the best project ideas which you can leverage further on your CV.

Start Working on Live Projects to Build your Data Science Career

To get a sound idea for data science projects, you should be more concerned about it rather than it’s implementation. Because of this, we have come up with the best ideas for you. Here we have enlisted the top 10 project ideas that can shape your future in the world of data science. But to begin such programs or live projects, you need to have a good understanding of Python and R languages.

1. Credit Card Fraud Detection Mechanism

This project requires knowledge of ML and R programming. This project mainly deals with various algorithms that you can get familiar with once you start doing your applied machine learning course. These algorithms mainly cover Logistic Regression, Artificial Neural Networks, Gradient Boosting Classifiers, etc. From the record of the Credit Card transactions, you can surely be able to differentiate between fraudulent and genuine data. After that, you can draw various models and use the performance curve to understand the behavior.

This project involves the Credit Card transaction datasets that give a pure blend of fraudulent as well as non-fraudulent transactions. It implements the machine learning algorithm using which you can easily detect the fraudulent transaction. Also, you will understand how to utilize the machine learning algorithm for classification.

2. Customer Segmentation :

It is another such intriguing data science project where you need to use your machine learning skills. This is basically an application of unsupervised learning where you need to use clustering to find out the targeted user base. Customers are segregated on the basis of various human traits such as age, gender, interests, and habit. Implementation of K-means clustering will help to visualize gender as well as different age distribution. Also, it helps to analyze annual income and spending ideas.

Here the companies deal with segregating various groups of people on the basis of the behavior. If you work on the project, you will understand K means clustering. It is one of the best methods to know the clustering of the unlabeled datasets. Through this platform, companies get a clear understanding of the customers and what are their basic requirements. In this project, you need to work with the data that correlates with the economic scenario, geographical boundaries, demographics, as well as behavioral aspects.

3. Movie Recommendation System : 

This data science project can be rewarding since it uses R language to build a movie recommendation system with machine learning. The Recommendation system will help the user with suggestions and there will be a filtering process using which you can determine the preference of the user and the kind of thing they browse. Suppose there are two persons A and B and they both like C and D movies. This message will automatically get reflected. Also, this will engage the customers to a considerable extent.

It gives the user various suggestions on the basis of the browsing history and various preferences. There are basically two kinds of recommendation available-content based and collaborative recommendation. This project revolves around the collaborative filtering recommendation methodology. It tells you on the basis of the browsing history of various people.

4. Fake News : 

It is very difficult to find out how an article might deceive you mostly for social media users. So, is it possible to build a prototype to find out the credibility of particular news? This is a major question but thanks to the data science professionals of some of the major universities to answer the problem.  They begin with the major focus of the fake news of clickbait. In order to build a classifier, they extracted data from the news that is published on Opensource. It is used to preprocess articles for the content-based work with the help of national language processing. The team came up with a unique machine learning model to segregate news articles and build a web application to work as the front end.

The main objective is to set up a machine learning model that provides you with the correct news since there is much fake news available on social media. You can use TfidfVectorizer and Passive-Aggressive classifier to prepare a top-notch model. TF frequency tells the number of times a particular word is displayed in the document. Inverse Document Frequency tells you the significance of a word on the basis of which it is available on several contents. Therefore, it is important to know how it works.

A TfidfVectorizer helps in analyzing a gamut of documents.

After analyzing, it makes a TF-IDF matrix.

A passive-aggressive Classifier tells you whether the classification outcome is viable. However, it changes if the outcome swings in the opposite direction.

Now, you can build a machine learning model if you have such good project ideas.

5. Color Detection :

It might have happened that you don’t remember the name of the color even after seeing a particular object. There is an ample number of colors that are totally based on the RGB color values but you can hardly remember any. Therefore, this data science project will deal with the building of an interactive app that will find the chosen color from the available options. In order to enable this, there should be a detailed level of data for all the available colors. This will help you to find out which color will work for the selected range of color values.

In this project, you will require Python. You will utilize this language in creating an application that will tell you the name of the color. For this, there is a data file that comes with color names and values. Then it will be utilized to evaluate the distance from each color and find out the shortest one. Colors are segregated into red, green, and blue. Now the PC will analyze the range of the colors varying from 0 to 255. There are a plethora of colors available and in the dataset, you need to align each color value with the corresponding names. It requires a dataset that comprises RGB values as per the names.  

6. Driver Drowsiness Detection :

In order to perform training and test data, researchers have come up with a Drowsiness Test which uses the Real Life Drowsiness dataset in order to detect the multi-stage drowsiness. The objective is to find out the extreme and discernible cases related to drowsiness using data science Skill. However, it permits the system to find out the softer signals of drowsiness. After that, comes the feature extraction which needs developing a classification model.

Since overnight driving is really a difficult task and leads to varied problems, the driver gets drowsy and feels quite sleepy while driving. This project helps to detect the time when the driver gets lazy and falls asleep. It produces an alarming sound as soon as it detects it. It implements a unique deep learning model to determine whether the driver is awake or not. This comes with a parameter to find out how long we stay awake. If the score is raised above the threshold value, then the alarm rings up. Now, you can easily be able to get the related dataset and Source Code.

7. Gender and Age Detection : 

This is basically a computer vision and machine learning project that implements convolutional neural networks or CNN. The main objective is to find out the gender and age of a person using a single image of the face. In this data science project, you can segregate gender as male or female. After that, you can classify the age on the basis of various ranges like 0-2, 4-6, 15-20, and many more. Because of different factors such as makeup, lighting, etc, it is very difficult to recognize gender and age forms a particular image. Due to this, the project implements a classification model instead of regression.

For the purpose of face detection, you will require a .pb file since this is a protobuf file. It is capable of holding the graph definition and the trained weights of the model. A .pb file is used to hold the protobuf in a binary format. However, the .pbtxt extension is used to hold this in the text format. In order to detect the gender, the .prototxt file is used to find out the network configuration. The .caffemodel file is used here to denote the internal states of various parameters.

8. Prediction Of The Forest Fire : 

Both forests, as well as the wildfire, ignites a state of emergency and health disasters in modern times. These disasters can hamper the ecosystem and this can cause too much money. Also, a huge infrastructure is required to deal with such issues. Therefore, using the K-means clustering you can easily be able to detect the forest fire hotspots and the disastrous effect of this nature’s fury. With this, it can cause faster resource allocation and the quick response. The meteorological data can be used to determine the seasons during the forest fires that are more frequent. Also, you can determine the weather conditions and climatic change that can reduce them and bring sustainable weather.

9. Effect of Climate Change on Global Food Supply :

Climatic change seems to affect various parts of the world. As a result, people residing in those areas are also under the wrath of such climatic change. The project mainly deals with the impact the climatic change is having and its effect on the entire food production. Main motive of the project is to determine the adverse effect of the climate on the production of crops. The project ideas mainly revolve around the impact of temperature and the rainfall along with the diversified cause of carbon dioxide on the growth of the plants. This project mainly focuses on the various data visualization techniques and different data comparisons will be drawn to find out the yield in various regions.

10. Chatbot-Best After the Data Science Online Training :

This is one of the famous projects done by the most aspiring data science professionals. It plays an important role in the business. They are used to give better services with very little manpower. In this project, you will see the deep learning techniques to talk with customers and can implement those using Python. There are basically two types of chatbots available. One deals with the domain which is used to solve a particular issue and the other one is an open domain chatbot. The second one you can use to ask various types of questions. Due to this, it requires a lot of data to store.

“ Upskill Yourself Through Online Data Science Courses and Become a Professional ”

The projects discussed in this technical article covers all the major Data Science projects which you need to do if you are a budding data science professional. But before that, you need to have a good grasp on various programming languages like Python and R. If you do the data science online tutorials, then these projects will be a cakewalk for you. Remember, one thing these small steps will make the large blocks so that you can rule the world of data science.. So, go ahead and participate in these live projects to gain relevant experience and confidence.

Thousands of companies worldwide, in industries such as construction, trucking, and aviation, already use neurotech devices to ensure that their employees are wide awake.Monitoring attention and focus. Many of us lack the ability to focus for long stretches at a time. But Olivier Oullier, a former president of the bioinformatic company Emotiv, believes that neurotechnology can help.A few years ago, at the Fortune Global Tech Forum, Oullier unveiled the MN8, Emotiv’s enterprise solution for attention management. The MN8 looks like a set of standard earbuds (and can in fact be used to listen to music or participate in conference calls). But with just two electrodes, one in each ear, the device allows employers to monitor employees’ stress and attention levels in real time.

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Cash is king and as Benjamin Franklin said (There are three faithful friends - an old wife, an old dog and ready money)

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