Interesting machine learning projects to tackle these summers

The heap of data that is created each day by every single person is only going to increase with time. This is precisely what facilitates the need for being equipped with Machine Learning and its best practices. Machine learning is the process where a gadget can improve itself from previous experiences just like a human being.

Seemingly, indulging into projects can be the best management of your time.

Practice on real projects always beats theory. While you explore your hands-on an interesting project, your Machine Learning skills will eventually level-up.

Putting the projects in your portfolio not only enhances it but it can even land your dream job. We are mentioning some of the interesting projects below on which you can work on these summers. And, if you find something interesting enough, working longer on them will make you a pro.

1. Machine Learning Gladiator: This is one of the most efficient ways to understand how Machine Learning works. The purpose is to implement the out of the box models into separate datasets. This particular project is beneficial for a few reasons:

First one of them would be, you get an idea of the model. You can find many solutions by digging deep in the textbooks but there are some queries which can only be resolved by performing practically. For instance, Which models are the best fit for categorical features? Which models are more likely to miss data?

Secondly, working on projects often prepare you with the skills of creating models at a faster pace. Based on textbook knowledge the process can be time-consuming.

Finally, building your own projects can help you master the flow. Suppose you have a lot on your plate like importing data, cleaning data, pre-processing, transformations and so on. But you have already honed the skill of building out-of-the-box datasets which will help you in further critical projects.

2. Predict House Prices: As the name suggests, this project will include models which will predict estate prices for buyers and sellers. The location and square footage are merely an aspect of the house. The price will include every logical feature and variable available.

Predictions will be made by evaluating the realistic data and accurate measures. This process includes:

– Analyzing the sales price (variables)

-Multivariable analysis

-Predictions & Modeling

-Impute Missing data

3. Twitter Sentiment Analysis: Sentiment Analysis widely means text mining. Using an advanced technique to analyze the sentiment of a sentence is known as Twitter Sentiment Analysis. To parse if the sentiment of the text is positive, negative or neutral with the help of data mining. We all have the idea that there is a massive amount of data out there. Exploring this project can also help you get an opinion of the masses in all sorts of tweets. Be it political, business strategy and public actions.

4. Teach a Neural network to Read Handwriting: Neural Networks is one of the greatest achievements in Machine Learning. The significant models developed include face recognition, automated cars, automatic text creation.

Apparently, Handwriting recognition can be critical for you. The best thing is, it doesn’t require any high computational power. Mastering this project will prepare you for further challenges.

5. Image Caption Generator: Generating a caption from a visual can be a challenge for Machine Learning beginners. It requires the computer to do both jobs which are creating a vision to understand the concept of the image and prepare a model to recite the language properly to frame an appropriate caption by order. There are methods introduced in deep learning through which you can create a model to describe the content of a given visual. This can be done without a properly designed model with sophisticated data.

These are some of the fun projects which you can work on these summers. Practice will make you smart enough to develop your own unique model someday. For further queries reach out to codingninjas.in and you can always discover more about Machine Learning

Internship Talk with Amit Gupta

A place that made me fall in love with coding!

 

His amazing experience and what he loved!

Coding ninjas helped in making my basic concepts clear with lots of coding problems. TA was supportive throughout the course by clearing doubts before deadline.

Interview experience

It consisted of2 rounds where they asked about Trees,Arrays,Strings. Also, the level of difficulty was pretty good.

Advice to Current Students!

Join ninjas if you want to fall in love with coding.

Thank you for your constant support and guidance!

5 useful JavaScript tips and tricks

Javascript is one of the most popular and widely used programming languages in the world right now. It’s also the first language developers try to master. With a deep knowledge of Javascript, you can work as a front-end developer, a back-end developer, or if you’re really good at it, then a full stack developer as well.

For a long time, Javascript was only used to build interactive web pages. It was referred by the developers as a toy language (hence the term “Vanilla JavaScript”). But those days are long gone now. With the help of investments made by large companies and a massive community of developers, Javascript has managed to be the most preferable language across the world. Now, along with the use to display a simple alert on the web page, JS is even capable of controlling a robot.

If you’re working on JavaScript, here are some tips and tricks that will make your life easier:

1. Type conversion: Number & String: Arithmetic operations like +, -, /, *, are the most common things we use within Javascript development. So it demands the operands be numbered. If by any chance the operand is not a number, JavaScript turns it into a number. There is always a possibility that you may not get an expected result, especially while operating with “+”. This happens because “+” is also utilised in the form of the concatenation of two or more strings. In such a scenario, knowing how to convert the types will give you extreme flexibility over your code, and hence your end product.

2. Min-Max Conversions: When you’re trying to deal with bounded numbers, the Math.min() and Math.max() are very convenient. By using the following example of Math.min() & Math.max() for the previous bounded value() you can understand it better:

 

3. Deal with WebSocket Timeout: After 30 seconds of inactivity of WebSocket connection establishment, a server could time out. And, also the firewall connection may show time out. You can always send a faux message to the server systematically to avoid this situation. Alternatively, you could use one code to keep alive your connection and one code to cancel the keep alive. The timeout can be shunned by these cool tricks.

 

4. Avoid using try & catch: Every time the catch clause is executed whenever the object is assigned to a variable. Dodge the try & catch as it constructs a new variable at the current scope of runtime.

Use this cool trick

 

Instead of this

 

5. Use the Switch/case statement: When there are 2 or more than 2 cases, it’s efficient to use Switch/case than if/else statement. It surely runs faster and it is also more sophisticated code. Avoid the same in case if the number is more than 10.

With this, you’re now ready to pace up your progress with JavaScript as a development tool. Also, if anywhere along the line you feel stuck, don’t hesitate in reaching out to us. We, at Coding Ninjas, offer courses on Web Development, Node.JS, and many other important domains. Starting from ground zero, we take you onwards and upwards!

Improve your productivity with these tools

We currently live in a world where productivity has never been so important before. Evidently, working on code and practising programming can make you better, but if we consider the competition and accelerated growth of this industry, then there have to be some other ways. Smart work and efficiency here are even more valuable than your intelligence.

To be able to focus while coding every programmer needs a set of tools. These tools usually help the programmer by taking care of other trivial things and lets him converge on what matters the most. The developers’ life can get a lot easier by using these tools. Besides, there are some advanced ones too which can help you maintain your productivity level and can also evaluate your coding skills from time to time.

Here is a list of significant tools that can help you be on top of your programming skills:

Evernote

Evernote is precisely what the name suggests, a notepad. An essential and useful notebook for programmers which lets them record whatsoever information they would like to collect.

In this ever-growing industry, there is a colossal amount of information that comes out daily. And for a developer, it is remotely possible to memorize it all or even write it down somewhere. For this particular task, Evernote not only helps you store information but is also accessible from all the devices with the help of sync feature.

TeaCode

TeaCode is that tool which can help you finish code much faster. All you have to do is insert the pattern(recipe) and let TeaCodes’ shortcut do its job. It will complete the code quicker and that too in any language. You can also get about around 80+ ready to use patterns including HTML, C++, Swift, and PHP. There are also a few samples mentioned to let you understand how TeaCode works.

Habitica

Now Habitica is an excellent tool used by programmers. You can find apps in which you can create a To-do list and track all the tasks you are doing. But, Habitica works on another level.

It plays with you like a real life game keeping you healthy and happy. As you complete a task or make progress in your daily to-do list, it treats you with rewards.

As soon as you enter the application, you have to follow specific tasks to register.

Set up to-dos: Enter the list of tasks that you have to complete with due dates and references.

Daily tasks: Here you have to mention if there is a task you have to perform daily or on a particular day of the week, month or even a year in your dailies column.

Habits: Here you can make a list of habits that you want to take on and also the bad ones that you want to change. Every lousy habit will affect your characters’ health.

Habitica can dramatically improve your lifestyle and your efficiency in completing tasks.

GitHub

Now GitHub is one of the most popular platforms built for the programmers for coding. You can create software with GitHub, manage codes, review and host projects. It makes developers life much easier by handling all the chaos and help you code better. On GitHub, you can also work in teams which lets you get through problems much faster and get a better idea of programming.

musicForProgramming

Everyone is aware of the fact that listening to music while working can help you focus. But the thing to note here is what type of music should you hear.

musicForProgramming is a fantastic source to increase your productivity. As you can always link your work with the website. The interface will mimic your code and will offer you the kind of music which will increase particularly your productivity. Sounds impossible..right? Well, it’s not. Go check out the website for yourselves.

While focusing on the fact that instrumental music can help increase your productivity, musicForProgramming vastly offers you relevant stuff.

Code Climate

It is another tool to evaluate all the programming you have done until now. It helps you create better software with its automated code process insights for GitHub enterprise. While keeping a check on your development cycle Code Climate enables you to maximize your output and remove all the hindrances you have been facing. The quality, duplication, security, style, complexity, and more, you can get an automated code review of any of the points mentioned earlier.

To conclude here is a food for thought, it doesn’t matter if you are good at programming or you have a lot of knowledge in languages until you are aware of the specific tools to increase your productivity. We are mentioning this only because there will always be someone who will code more efficiently. So, we hope that these tools can help you increase your efficiency in one way or another. And further, if want to learn to code, come straight up to our website and enter the beautiful world of programming with our interactive courses.

Interview season is nearing, how to keep your cool?

How-to -Keep-Your-Cool-in-Interviews

“How to make strangers like you in 30 minutes?”

“What am I doing with my life?”

“Where do I see myself in the next five years?”

Questions like these and more may take over your headspace before the interview. And quite honestly, it is acceptable to have panicky moments filled with nervousness crumbling up your stomach.

It’s also understandable to be anxious about things, thinking about what is going to happen next. During an interview, you’ll feel you’re being scrutinized by multiple eyes, even if there’s just one person in the panel. In that scenario, anxiety can either make you start rambling randomly or worse, make you go entirely blank.

These are all decipherable and fixable things. And we assure you that with the tips and tricks we’ll be tackling through this blog, you’ll definitely be able to keep your cool during your dream interview. Once you have a better idea of the answers expected of you, your fears will recede, and you’ll be able to answer naturally. Before diving straight to the gist, we would like to remind you what you already know, that you have already passed the tricky part. All that is left for you to do is show the interviewer that you are the ideal candidate they are in search for.

Do your homework

Conceivably, you must have researched the company’s transparency even before applying for the position. Now that you are well aware of the job and its expectations, you have to get your hands dirty for all the appropriate information that you can seek. The homework begins as soon as an interview is scheduled. Read up the company’s motto, the founder’s achievement(who knows, you might as well get inspired), the progress report, and, moving on you will be familiar with the company.

The more you know about the company, the more you will feel comfortable while interviewing.

However, due to any reason, if you haven’t prepared for the interview in advance, always pause after the question is asked and think before answering. It leaves an impression of sincerity on the employers.

Know your value

There is a reason why you are invited for an interview in the first place. It’s because you have the right qualities, technical expertise and the experience to land the job. You most definitely have the potential to be a valued asset to the organisation. Trust us; the hard part is over now.

Remembering your value is a part of having a strong personal brand. And when you know your worth, it boosts up your confidence.

The other way to encourage yourself is evaluating the achievements of your past. For instance, think about your contribution to the previous company, or the time you generated income for your employer. Think of how you can do the same to participate in this new opening.

Practice a lot

Rehearsing and engaging with interview questions can be very useful at the moment. Be it your friend, a neighbour, a family member or your cat, try and verbally practice answering questions a lot. The phrase “practice makes a person perfect” is no joke.

If your brain is aware of the fact that all the knowledge regarding the interview is there in your mind, the chances of getting cold feet will steadily decrease. The stress will automatically disappear, and confidence will hit in.

Frame your answers carefully

While answering interview questions, instead of diving straight to the best part of your solution, try and frame it up.

When asked behavioural questions, the candidates tend to panic. The point doesn’t come across the way you wanted, and the interviewer is not convinced. For example, if the person is expecting to know about a situation of conflict you had to overcome, you have to make him feel the circumstance. Describe the situation with details, paint a picture, let him know the thought process that was going on your mind then.

Handling your answers this way can show how passionate you are about work and can level up your on-going interview.

Visualise and energise

Hold on to your nerves; this ultimate hack can help you be a pro in acing interviews. Take out 5–10 minutes from your day, close your eyes and imagine that your conversation with the interviewer is going well. You seem to answer every question confidently and profoundly. You see them nodding and seeking interest in knowing you even more.

The rapport you are building in your visualisation can immediately improve your performance and help you wipe your sweat off right away.

Placement talk with Vaibhav Mehra

A place that helped me to achieve a lot in my career!

 

His amazing experience and what he loved!

I have been with Coding Ninjas from last year, and it’s been a great experience for me. It helped me to achieve a lot in my career. It’s a great platform to learn, explore and to get placed in good companies. Thanks, Coding Ninjas

Interview experience

It consisted of 3 rounds where they asked about Node.js, mongo, JavaScript, HTML5 and CSS3. Also, the level of difficulty was pretty good.

Advice to Current Students!

Work hard in one programming language and get the basics done.

How will you introduce Coding Ninjas to your friends?

I will tell them about my placement and how Coding Ninjas are doing an excellent job of placing students in amazing companies.

Thank you for your constant support and guidance!

Seeking job in a big tech company? Here are the languages they prefer!

When you start learning to programme, the obvious question that crosses your mind is what languages you should choose to enter the vast arena of the big tech companies? The one thing we can guarantee you is that limiting your knowledge to a single programming language would not be the best option. The point that you want to keep in mind is that every tech company, especially if they are a large company, they would like to use every bit of technology. Not to mention there are a few languages that the firm uses primarily. If you are trying to enter in one of the biggest companies, you must focus on what the organization is prioritizing in rather than the trending languages.

But what is more important than knowing what languages to hone is knowing the foundation of programming — data structures and algorithms. After all, programming is like working with various building blocks to make something awesome. If you’re not familiar with the building blocks, it’ll be difficult for you to reach a superb end goal — despite whichever path (language) you choose. So, before you even begin reading the list of languages that major players prefer, you should hone yourself with the necessary data structures and algorithms skills. Not only will that make your journey of learning the language easy, but also extremely worthwhile.

Having said that, here is the list of languages the tech-giants prefer, and so should you:

Javascript: Originally, JavaScript was introduced in 1995 to make the webpage interactive with the audience. It was developed within a brief period of 10 days by the developers. Despite being developed in a concise incubation period, javascript has managed to be one of the most famous programming languages of all. When you build a webpage, the code usually starts with HTML and CSS, then comes JavaScript which is an essential part of the front end development. It is often used to build graphical interfaces for the webpage. Alongside “pure” JavaScript there are some frameworks introduced in the past few years like Angular, React, jQuery, etc. which intend to make JS even easier.

Besides the fact that Javascript is a front end development language, with the invention of Node.js it can also be used as a server-side application to build scalable networks. Also, it is considered to be the friendliest languages because of its forgiving nature (literally speaking) as its syntax is super flexible and because of its compatibility across major browsers. So, be it web’s most famous sites like facebook, amazon, youtube, and many more or the small tech companies; JS is proved to be one of the prior languages used everywhere.

Python: Python is considered to be the most versatile languages of all, and its simplicity makes it the best suit for beginners. It’s also believed to be the most straightforward one because of the readability and the resemblance to the English language. Talking about the portability of Python, the biggest platforms like windows, mac supports Python which even includes your PlayStation. You can also perform a cross-language operation with Python as it is extensible with .net and java applications. While starting the beautiful journey of programming; you should take note that Python is overwhelmingly powerful and flexible when it comes to choosing between languages. It is used as one of the backend languages for web development for instance if used with the open source framework like Django; it becomes effortless to learn Python. Popular sites like Instagram, Spotify, and Mozilla use the same structure to develop their pages.

C++: The main concern of the tech companies is to maximize their output using the software. Big firms like Google, Facebook, and Amazon as well are often described as C++ culture as it becomes essential to work with C++ when the data complexity of the company reaches a certain level. The fact that C++ has been around for more than two decades now proves that many of the existing software/ Programs have already been developed in this particular language. It does not have third-party licensing issues, memory efficient and is designed for both real-time and non-real time performances.

Java: The third language we are going to talk about is Java. Thanks to its versatility and pervasion, it is considered to be the most common language to be included in the introductory programming courses.

In the world of computer programming, Java is one of the longest backbones existing for more than a period of 20 years. The core of the language stays on “write once, run anywhere” philosophy. This theory means that you can write Java on any device, edit it in any low-level software and then can run it in any platform that supports Java. This indicates how Java is highly cross-platform compatible.

With a comprehensive variety of use cases, Java is one of the best choices for programmers who are looking for a flexible, versatile and modular language and consequently job possibilities.

Ruby: For the developers, Ruby is one of the most fun languages to work with. What makes Ruby fun is it abstracts away the most complicated details of the programming. You can always start working from scratch and with fewer lines of code. Ruby was developed to bridge the gap between programmers and the underlying computing system. It reads like English and therefore easy to understand. The dynamic nature of Ruby makes it a preferable language by the tech companies. It has a high level of built-in data structures and works as a ‘glue’ or scripting language between existing components. The flexible nature and the low maintenance costs are a few features which let it make to the list of languages companies prefer.

Furthermore, the forgiving nature of Ruby will let you run the program until you hit the problematic area.

There is no need to panic while deciding what programming language to learn to enter the rapidly changing tech industry.

Seek the language which best interests you and the type of industry you want to get in. After discussing the languages frequently used by the tech companies, the next question which might pop up in your mind is how and where to learn these languages? The good news is we got you covered. Check out codingninjas.in for extensive courses on programming and make yourself job-ready by registering in any of our online and offline courses.

10 blogs every software developer must be reading

Blogs-Every-Software-Developer-should-Read

 

When you start learning to programme, the obvious question that crosses your mind is what languages you should choose to enter the vast arena of the big tech companies? The one thing we can guarantee you is that limiting your knowledge to a single programming language would not be the best option. The point that you want to keep in mind is that every tech company, especially if they are a large company, they would like to use every bit of technology. Not to mention there are a few languages that the firm uses primarily. If you are trying to enter in one of the biggest companies, you must focus on what the organization is prioritizing in rather than the trending languages.

But what is more important than knowing what languages to hone is knowing the foundation of programming — data structures and algorithms. After all, programming is like working with various building blocks to make something awesome. If you’re not familiar with the building blocks, it’ll be difficult for you to reach a superb end goal — despite whichever path (language) you choose. So, before you even begin reading the list of languages that major players prefer, you should hone yourself with the necessary data structures and algorithms skills. Not only will that make your journey of learning the language easy, but also extremely worthwhile.

Having said that, here is the list of languages the tech-giants prefer, and so should you:

Javascript: Originally, JavaScript was introduced in 1995 to make the webpage interactive with the audience. It was developed within a brief period of 10 days by the developers. Despite being developed in a concise incubation period, javascript has managed to be one of the most famous programming languages of all. When you build a webpage, the code usually starts with HTML and CSS, then comes JavaScript which is an essential part of the front end development. It is often used to build graphical interfaces for the webpage. Alongside “pure” JavaScript there are some frameworks introduced in the past few years like Angular, React, jQuery, etc. which intend to make JS even easier.

Besides the fact that Javascript is a front end development language, with the invention of Node.js it can also be used as a server-side application to build scalable networks. Also, it is considered to be the friendliest languages because of its forgiving nature (literally speaking) as its syntax is super flexible and because of its compatibility across major browsers. So, be it web’s most famous sites like facebook, amazon, youtube, and many more or the small tech companies; JS is proved to be one of the prior languages used everywhere.

Python: Python is considered to be the most versatile languages of all, and its simplicity makes it the best suit for beginners. It’s also believed to be the most straightforward one because of the readability and the resemblance to the English language. Talking about the portability of Python, the biggest platforms like windows, mac supports Python which even includes your PlayStation. You can also perform a cross-language operation with Python as it is extensible with .net and java applications. While starting the beautiful journey of programming; you should take note that Python is overwhelmingly powerful and flexible when it comes to choosing between languages. It is used as one of the backend languages for web development for instance if used with the open source framework like Django; it becomes effortless to learn Python. Popular sites like Instagram, Spotify, and Mozilla use the same structure to develop their pages.

C++: The main concern of the tech companies is to maximize their output using the software. Big firms like Google, Facebook, and Amazon as well are often described as C++ culture as it becomes essential to work with C++ when the data complexity of the company reaches a certain level. The fact that C++ has been around for more than two decades now proves that many of the existing software/ Programs have already been developed in this particular language. It does not have third-party licensing issues, memory efficient and is designed for both real-time and non-real time performances.

Java: The third language we are going to talk about is Java. Thanks to its versatility and pervasion, it is considered to be the most common language to be included in the introductory programming courses.

In the world of computer programming, Java is one of the longest backbones existing for more than a period of 20 years. The core of the language stays on “write once, run anywhere” philosophy. This theory means that you can write Java on any device, edit it in any low-level software and then can run it in any platform that supports Java. This indicates how Java is highly cross-platform compatible.

With a comprehensive variety of use cases, Java is one of the best choices for programmers who are looking for a flexible, versatile and modular language and consequently job possibilities.

Ruby: For the developers, Ruby is one of the most fun languages to work with. What makes Ruby fun is it abstracts away the most complicated details of the programming. You can always start working from scratch and with fewer lines of code. Ruby was developed to bridge the gap between programmers and the underlying computing system. It reads like English and therefore easy to understand. The dynamic nature of Ruby makes it a preferable language by the tech companies. It has a high level of built-in data structures and works as a ‘glue’ or scripting language between existing components. The flexible nature and the low maintenance costs are a few features which let it make to the list of languages companies prefer.

Furthermore, the forgiving nature of Ruby will let you run the program until you hit the problematic area.

There is no need to panic while deciding what programming language to learn to enter the rapidly changing tech industry.

Seek the language which best interests you and the type of industry you want to get in. After discussing the languages frequently used by the tech companies, the next question which might pop up in your mind is how and where to learn these languages? The good news is we got you covered. Check out codingninjas.in for extensive courses on programming and make yourself job-ready by registering in any of our online and offline courses.

How data science has grown: A recap

Capture

The term Data Science must have crossed your eye multiple times. Trust us; this is not just a mere coincidence; it is associated with you. In this article, we are going to explain how data science can be related to almost everyone who is working in this span.

What is Data Science?

Data Science is an amalgam of various tools, algorithms, methods to solve complex issues that emerged from all the information collected from the raw data. To foresee future problems and preparing models based on it is what a data scientist is ought to do. The aspect of data science is finding the necessary information from the raw data unveiling the hidden insight that can help the company to make quicker decisions. To make you understand even better here are some of the examples of how Data science works:

1. Netflix works on the understanding of your searches and sees what genre entertains you the most. Based on this information they take decisions on what kind of web series to produce and stream.

2. Spotify recommends music to you based on your choices.

3. Gmail manages to work with an algorithm to determine if the mail is junk or not and automatically sends it into the spam folder.

And now, let’s have a look at how Data Science has unfolded in the past few years:

Data Science and statistics are related

The saying that Data science can’t be more than statistics might not be entirely correct, but to an extent, it is, as most of the current lot has drifted from the engineering field. Recent researches have proved that a notable portion of data science will soon be fully automated. In many cases, nowadays a whole lot of individuals are floating in from different backgrounds, even people from economics backgrounds are guaranteeing to be Data Scientists.

Transition from Data- poor to Data -rich

As the organizations are approaching from data-poor to data-rich culture, both, a strong foundation in data science and pure science will be required. With the ever-growing speed in this industry, the enterprises are always trying to build new models and expand on the decisive learnings; the supply will indefinitely decrease. Individuals, after being in this field for a very long time are ready to turn into the profession of Data Science. You surely can’t become a data analyst with just one analytics track or a few months of online certification. Also, hands-on experience can help you in getting a clearer picture of the most critical problems related to Data Science.

Working with noisy-datasets

The current focus of big organizations is on using big data which develops analytics solutions to satisfying client goals. The natural substance of what data scientists do stays puzzling. To explain more, Data Scientists are nowadays are confronted to operate with challenging, heterogeneous and noisy datasets. Most newbies are not even aware of trending technologies and cutting-edge techniques. They have to bridge the gap between their current abilities and skills actually to approach a higher set of possibilities to solve any problem.

Knowledge of applied science wins

The Data Scientists who genuinely deeply learned the statistical strategies are kept in secret to prepare the essential elements which automatically get coordinated with the tools. Having a deep understanding of the statistical foundation might be helpful for you in the long run.

What the future looks like?

According to Gartner’s research, by 2020, a significant part of data science will be automated. The tasks like recognizing the problem initially and data representation will be automated. And the remaining tasks which are model validation, feature engineering, machine learning and understanding the domain will be the core skills set to be a Data Scientist. Eventually, the interest to code as professionals who were mostly reliable on spreadsheets will shift to Python and R.