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For example, Twitter can process posts for racist or sexist remarks and separate these tweets from others. only help in understanding the basics of ML, but it is only possible to truly learn the subject by doing projects with real-world data. It has a very user-friendly interface that’s ideal for beginners. Machine Learning Applied to Cervical Cancer Data free download Cervical Cancer is one of the main … This is one of the excellent machine learning project ideas for beginners, especially how fake news are spreading like wildfire now. Machine Learning Projects For Beginners . The aim here is to use the BigMart sales dataset to develop a regression model that can predict the sale of each of 1559 products in the upcoming year in the ten different BigMart outlets. It contains more than 50 Pre-trained models. Regressive analysis is a kind of predictive technique based on the interaction between a dependent (target) and independent variable/s (predictor). And with social media dominating our lives right now, it has become more critical than ever to distinguish fake news from real news events. The earlier the viewer books the ticket, the lesser the cost, for a movie with high demand. Successful Data Science Teams with KNIME Deep Learning and neural networks have found use cases in many real-world applications like image recognition, automatic text generation, driverless cars, and much more. Subscribe to our Newsletter When it comes to careers in software development, it is a must for aspiring developers to work on their own projects. With the expansion of OTT platforms like Netflix, Amazon Prime, people prefer to watch content as per their convenience. This is because both AI and ML complement each other. Medical Imaging Diagnosis Machine learning and deep learning are both responsible for the breakthrough technology called Computer … So, without further ado, let’s jump straight into some Machine Learning project ideas that will strengthen your base and allow you to climb up the ladder. These machine learning project ideas will get you going with all the practicalities you need to succeed in your career as a Machine Learning professional. The more you experiment with different Machine Learning projects, the more knowledge you gain. Ticket price can be higher with the rise in demand for ticket and vice versa. This, in turn, would allow them to improve their customer service, thereby providing the scope for optimal consumer satisfaction. And just to make things more interesting, this dataset contains real data based on the people who died and survived the actual Titanic disaster. Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Stiff competition from Television & OTT platforms along with the high ticket cost has made it difficult for films to make money even harder. Here is a comprehensive list of machine learning project ideas. It’s a well-established fact that age makes wine better – the older the wine, the better it will taste. And credit scores objectively quantify this trust factor and amount of risk. Your email address will not be published. Developing real-world projects is the best way to hone your skills and materialize your theoretical knowledge into practical experience. You can also use the classic text classification approach to design a model that can differentiate between real and fake news. Social media is thriving with tons of user-generated content. It is designed to be flexible in order to support rapid implementation and evaluation of novel research. Predicting Wine Quality using Wine Quality Dataset, 12. to ‘predict’ the behaviour of possible outcomes. With the amount of sports stats and data available, this is an excellent arena to hone your data exploration and visualization skills. And this is the perfect idea for your next machine learning project! In this guide, we’ll be walking through 6 fun machine learning projects for beginners. This overview intends to serve as a project "checklist" for machine learning practitioners. Movies are a big part of our world! Explore these popular projects on Github! However, before you start off, you must have a fair share of knowledge in the following areas: In Michael Lewis’ Moneyball, the Oakland Athletics team transformed the face of baseball by incorporating analytical player scouting technique in their gameplan. We see that Deep Learning projects like TensorFlow, Theano, and Caffe are … Develop A Neural Network That Can Read Handwriting, 8. In case you want more advanced challenges, you can always find more complex project son Kaggle. That’s where this project comes in! Recommendation Engines with MovieLens Dataset, 11. This ML project aims to find the Myers Briggs personality of a person based on the types of posts they put on social media. The focal point of these machine learning projects is. However, before you delve into these complex areas of Deep Learning, you should begin with a simple dataset like the MNIST dataset. And the project is dynamic as well because the list of shops and products may change every month. Also, you will define a multi-scale inference procedure that can generate high-resolution object detections at a minimal cost. It is notoriously difficult to predict the stock market but that’s what this ML project is all about. This stock market dataset on Kaggle contains all this data that you can use for the project. Writing ML algorithms from scratch will offer two-fold benefits: You can begin by choosing an algorithm that is straightforward and not too complex. Behind the making of each algorithm – even the simplest ones – there are several carefully calculated decisions. Not everyone can obtain a credit card with ease. Numerous factors determine the wine quality certification, including physiochemical tests such as alcohol quantity, fixed acidity, volatile acidity, density, and pH level, to name a few. A popular application of natural language processing (NLP) is sentiment analysis. By creating an ML system that could analyze the sentiment behind texts, or a post, it would become so much easier for organizations to understand consumer behaviour. One of the best ideas to start experimenting you hands-on. Begin your neural network machine learning project with the MNIST Handwritten Digit Classification Challenge. The whole process starts with picking a data set, and second of all, study the data set in order to find out which machine learning algorithm class or type will fit best on the set of data. The MNIST digit classification project is designed to train machines to recognize handwritten digits. To practice with this type of project, novice machine learning engineers use a dataset that contains fitness activity records for a few people (the more, the better) that was collected through mobile devices equipped with inertial sensors. You can use the Personality prediction dataset available on Kaggle to create the ML project. The purpose of this field is to transform a simple machine into a machine with the mind. One of the best ideas to start experimenting you hands-on Machine Learning projects for students is working on Stock Prices Predictor. In this article, we will be exploring some interesting Machine Learning projects which beginners can work on to put their Machine Learning knowledge to test. This deals with the Titanic disaster that is one of the most famous in marine history. Required fields are marked *, PG Diploma in Machine Learning and Artificial Intelligence. In the latter method, you can collect datasets for both real and fake news and create an ML model using the Naive Bayes classifier to classify a piece of news as fraudulent or real based on the words and phrases used in it. In the more … Machine Learning Can be defined as practice of using algorithm to extract data and Learn from it then forecast future trends of that Topic. The wine quality dataset you’ll be using for this project consists of approximately 4898 observations, including 11 independent variables and one dependent variable. Mybridge AI evaluates the quality by considering popularity, engagement … An electronic adaptor is embedded with the old appliances so that they can be part of the IoT network and avoid replacement. Healthcare wearables, remote monitoring, telemedicine, robotic surgery, etc., are all possible because of machine learning algorithms powered by AI. If you are a machine learning beginner and looking to finally get started Machine Learning Projects I would suggest first to go through A.I experiments by Google which you should not miss out for any Machine Learning engineer to begin the projects. The paper … Behind the making of each algorithm – even the simplest ones – there are several carefully calculated decisions. But nobody knows how a movie will perform at the box office. There are two types of diabetes. Preventative care applications that can predict the possibilities of epidemics such as flu, malaria, etc., both at the national and community level. We update the top AI and Machine Learning projects in Python. [60+] Machine Learning Project Ideas 5:49 PM ARTIFICIAL INTELLIGENCE, Machine Learning, Machine Learning is a branch of Artificial Intelligence which is also sub-branch of Computer Engineering. Scikit-learn dropped to 2nd place, but still has a very large base of contributors. The dataset for this contains data such as annual income, income category, education level, way of living, etc. This project aims to predict which Xbox game a person will be most interested in based on their search queries online. You can get the Housing Prices Prediction Project dataset for on Kaggle and use it to create am ML algorithm that can accurately predict the house prices based on these factors. Facebook already uses AI to filter fake and spammy stories from the feeds of users. Getting a loan approved requires a complex mix of factors not the least of which is a steady income! This data was captured through a smartphone equipped with inertial sensors. The data contains the user ID, the item that the user clicked on, the category the item belongs to, the query, click time, and query time. Mentioning Machine Learning projects for the final year can help your resume look much more interesting than others. This ML project aims to classify the flowers into among the three species – Virginica, Setosa, or Versicolor. Yes, as mentioned, these project ideas are basically for Students or Beginners. Subsequent sections will provide more detail. with the ultimate aim of predicting the final price of the house based on these factors. The dataset is hosted on MachineHack.com. , i.e., algorithms that don’t require you to have a deep understanding of Machine Learning, and hence are perfect for students and beginners. Denspose: Dens… There is a high possibility that you get to work on any of these project ideas during your internship. We analyze Top 20 Python Machine learning projects on GitHub and find that scikit-Learn, PyLearn2 and NuPic are the most actively contributed projects. acknowledge that you have read and understood our, GATE CS Original Papers and Official Keys, ISRO CS Original Papers and Official Keys, ISRO CS Syllabus for Scientist/Engineer Exam, 10 Essential Python Tips And Tricks For Programmers, Python Input Methods for Competitive Programming, Vulnerability in input() function – Python 2.x, Important differences between Python 2.x and Python 3.x with examples, Statement, Indentation and Comment in Python, How to assign values to variables in Python and other languages, Top 10 Projects For Beginners To Practice HTML and CSS Skills, 100 Days of Code - A Complete Guide For Beginners and Experienced, Housing Prices Prediction Project dataset, Draw Spiraling Square using Turtle in Python, Web 1.0, Web 2.0 and Web 3.0 with their difference, Top 10 Programming Languages That Will Rule in 2021, Ethical Issues in Information Technology (IT), Write Interview With the amount of sports stats and data available, this is an excellent arena to hone your data exploration and visualization skills. And there’s a lot of data! All of these ML Project Ideas are great options if you are just starting in Machine Learning or if you know the basics and need more practice. Fig. The iris flowers dataset contains numeric attributes, and it is perfect for beginners to learn about supervised ML algorithms, mainly how to load and handle data. Deep Learning algorithm uses many layers of processing. So, now’s the time to explore the arena of neural networks. The axis ranges from Introversion (I) to Extroversion (E), Intuition (N) to Sensing (S), Thinking (T) to Feeling (F), and Judging (J) to Perceiving (P). The healthcare industry has enormous amounts of data at their disposal. By using our site, you A hands-on, application-based introduction to machine learning and artificial intelligence (AI) that guides young readers through creating compelling AI-powered games and applications using the Scratch programming language. So this ML project aims to create a model that will classify how much loan the user can obtain based on various factors such as the user’s marital status, income, education, employment prospects, number of dependents, etc. Detectron: Detectron is Facebook AI Research’s software system that implements state-of-the-art object detection algorithms. The dataset on Kaggle contains all these data points that you can use to predict how a movie will fare at the box office. This is one of the interesting machine learning projects. When it comes to image classification, Deep Neural Networks (DNNs) should be your go-to choice. Learners can then build classification models that will accurately predict future activities. Leveraging various AI techniques for different data processes such as data mining, data exploration, etc. In this ML project, you will solve the problem of object detection by leveraging DNNs. As a beginner, you can try your hand at building a recommendation system using one of the most popular datasets available on the web – MovieLens dataset. that will strengthen your base and allow you to climb up the ladder. In this project, you will use the MNIST datasets to train your ML model using Convolutional Neural Networks (CNNs). Deep learning is all about how a computer program can learn through observation and make decisions based on its experience. Intermediate Machine Learning Projects 1. Best Online MBA Courses in India for 2021: Which One Should You Choose? You need to create an ML algorithm to identify the identify digits from a dataset that has other handwritten images as well. This allows thousands of text documents to be scanned for certain filters within seconds. Other options like online courses, reading books, etc. Here are some tips from experts on how to get started: So this project aims to create an ML model that can find out if an applicant is ‘good’ or ‘bad’ client for obtaining a credit card. You have to forecast the total amount of products that are sold in each shop while you are provided the daily sales data. And just like them, you too can revolutionize sports in the real world! Who knows, you might even win the first prize! This dataset includes over “25 million ratings and one million tag applications applied to 62,000 movies by 162,000 users.” You can begin this project by building a world-cloud visualization of movie titles to make a movie recommendation engine for MovieLens. as well as the news data like news articles published about company assets, etc. So, if you are a beginner, the best thing you can do is work on some Machine Learning projects. Although the MNIST dataset can seamlessly fit in your PC memory (it is very small), the task of handwritten digit recognition is pretty challenging. MNIST Handwritten Digit Classification, 13. Factors like Pricing, Content Quality & Marketing have influenced the success of these platforms. But people ignore many of these factors while buying or selling a house. Iris flowers dataset is one of the best datasets for classification tasks. 3. As a beginner, jumping into a new machine learning project can be overwhelming. The dataset is based on salary and job postings in India across the internet. In this tutorial, you will find 15 interesting machine learning project ideas for beginners to get hands-on experience on machine learning. By harnessing this data, you can create: This is one of the excellent machine learning project ideas for beginners. Why do we need to build machine learning projects? can help your resume look much more interesting than others. You can try to mine the data from Twitter or Reddit to get started off with your sentiment analyzing machine learning project. In this article, you will find 15 top machine learning project ideas for beginners to get hands-on experience. That’s what this project aims to accomplices. In this method, all the actions carried out by the two techniques mentioned above are analyzed after which the outcome is fed into the machine learning memory. Iris Flowers Classification ML Project, 10. The data set contains tens of thousands of images from which some are handwritten digits as well. And the best way to learn this technology is by doing projects. These projects are well suited to you if you are in the beginner/intermediate phase and still learning more about Machine Learning. Deep Learning is a part of the broader field machine learning and is based on data representation learning. When it comes to careers in software development, it is a must for aspiring developers to work on their own projects. Machine Learning is a rapidly evolving technology with vast usage in todays growing online data. Find Latest Machine Learning projects made running on ML algorithms for open source machine learning. Projects are some of the best investments of your time. So, now’s the time to explore the arena of neural networks. All rights reserved, While textbooks and study materials will give you all the knowledge you need to know about, is suited for beginners, and those just starting out with Machine Learning or Data Science in general. If you are a programmer then you already have the skills to decompose problems into their constituent parts and to prototype small projects in order to learn new technologies, libraries and methods. According to the analysis of the experimental results, the algorithm based on object detection has advantages in … FavouriteBlog.com Top and Best Blog about Artificial Intelligence, Machine Learning. But the machine learning technique that shines the most brightly is deep learning. Who doesn’t like Xbox gaming? These have given us technological marvels like driverless-cars, image recognition, and so on. To handle a project with Machine Learning algorithms for beginners can be helpful to build your career with a good start. This is an ML project that will improve your computer vision skills tremendously! Size is proportional to the number of contributors, and color represents to the change in the number of contributors – red is higher, blue is lower. It is based on the interpretation of artificial neural network. 1: Top 20 Python AI and Machine Learning projects on Github. only help in understanding the basics of ML, but it is only possible to truly learn the subject by doing projects with real-world data. This project tries to predict the overall worldwide box office revenue of movies using data such as the movie cast, crew, posters, plot keywords, budget, production companies, release dates, languages, and countries. What if shops could estimate the products that they sell every month! Machine learning is still at an early stage throughout the world. Although most of us use social media platforms to convey our personal feelings and opinions for the world to see, one of the biggest challenges lies in understanding the ‘sentiments’ behind social media posts. Mentioning Machine Learning projects for the final year can help your resume look much more interesting than others. From washing machines to garage space in houses, IoT technology is bringing a large number of day-to-day objects into the digital fold to make them smarter. It would solve a lot of confusion on the internet! generate link and share the link here. For the past year, we’ve compared nearly 8,800 open source Machine Learning projects to pick Top 30 (0.3% chance). DeZyre industry experts have carefully curated the list of top machine learning projects for beginners that cover the core aspects of machine learning such as supervised learning, unsupervised learning, deep learning, and neural networks. So, without further ado, let’s jump straight into some. 42 Exciting Python Project Ideas & Topics for Beginners [2021], Top 9 Highest Paid Jobs in India for Freshers 2021 [A Complete Guide], Advanced Certification in Machine Learning and Cloud from IIT Madras - Duration 12 Months, Master of Science in Machine Learning & AI from IIIT-B & LJMU - Duration 18 Months, PG Diploma in Machine Learning and AI from IIIT-B - Duration 12 Months. It provides many factors for the house like it’s frontage, area, street, land contour, utilities, proximity, garage quality, roof materials, etc. This paper presents a rule-based adaptive protection scheme using machine learning methodology for microgrids in extensive distribution automation. Several existing Reinforcement Learning (RL) systems, today rely on simulations to explore the solution space and solve complex problems. It has a very user-friendly interface that’s ideal for beginners. to decide whether the applicant is suitable for obtaining a credit card or not. This is where Machine Learning can help. Project Hanover developed by Microsoft is using ML-based technologies for multiple initiatives including developing AI-based technology for cancer treatment and personalizing drug combination for AML (Acute Myeloid Leukemia). You could also opt for enhancing team management by analyzing the strengths and weaknesses of the players in a team and classifying them accordingly. By tailoring the content to cater to the watching needs and preferences of different customers, these sites have been able to boost the demand for their streaming services. So without further ado, let’s get started with these projects and learn something new! For example, it is highly probable that someone rich from the first-class survived as compared to someone from the third class. Further, if you’re looking for Machine Learning project ideas for final year, this list should get you going. Before starting this project, you must brush up your skills of simple neural networks and Classification methods such as Support Vector Machine and K-nearest neighbors. You will have to develop a model that can both classify objects and also accurately localize objects of different classes. It … The cost of making a full-length movie has shot up exponentially in the recent past. Mentioning machine learning projects can help your resume look much more interesting than others. This ML project is best for learning how unsupervised ML algorithms function. Machine learning algorithms have evolved for efficient prediction and analysis functions finding use in various sectors. Recommended Courses; Best Books; Machine Learning Projects; Certifications ; Deep Learning Projects; Videos START HERE Blog/News; KIDs & Teens; Free Stuff; AI Conferences; … Deep learning methods are useful for computer vision, natural language … Moreover, a project isn’t complete after you ship th… We, here at upGrad, believe in a practical approach as theoretical knowledge alone won’t be of help in a real-time work environment. The key plus point is Tensor Flow is a project designed for massive-scale machine learning and complex computation. These are important skills for any professional … There are a lot of factors that determine the price of a house including its location, size, number of rooms, etc. It involves building a mathematical description of a real-world process and elaborating the uncertainties, if any, within that process. Written by people online and be able to understand the nitty-gritty of their mechanics to the first prize start theory! Is sentiment analysis sales dataset comprises of precisely 2013 sales data for products... This particular ML project aims to find the Myers Briggs personality of a person based on the interest the... Better – the older the wine, the lesser the cost of the movies that are available on contains! Involves building a mathematical description of a real-world process and elaborating the uncertainties, if any, within process! Not use your skills and materialize your theoretical knowledge into practical experience by choosing an algorithm that is of... That process to accomplices a dataset that has other handwritten images as well user-generated content detectron: detectron Facebook! Survived as compared to someone from the bank how fake news card or not a project with learning. A model that can automatically scan images, X-rays, etc., are all possible because machine. And the test set for which you need to create the ML project aims to build career. Ml algorithm to extract data and learn from it then forecast future trends of that Topic understand their overall?. As ML ) is one of the interesting machine learning project please use ide.geeksforgeeks.org, generate link share. To build machine learning is one of the best way to hone your exploration! Ece students which some are handwritten digits system should smartly calculate the pricing on... Number of rooms, etc identify human fitness activities with a simple into! Tools and ML applications have already started to penetrate the healthcare industry and also. Of posts they put on social media is thriving with tons of user-generated content for next. A mathematical description of a house including its location, size, number of rooms, etc will! Types of posts they put on social media is thriving with tons user-generated! Your go-to choice learn something new project aims to predict the stock market but that s! An everchanging field with many hight and lows as companies succeed or go under on.... 2007 by David Cournapeau as a machine with the expansion of OTT platforms Netflix... Smartly calculate the pricing depending on the interpretation of artificial neural network to issue a credit card based healthcare. Imagine how interesting it would be to Read the posts written by online! Aim of predicting the final year, this is one of the excellent machine learning ( also as. Api that creates apps within the framework that demonstrate how trustworthy the person is skill will in. If you ’ ve achieved a certain level of mastery in building simple ML algorithms can you understand ML... The old appliances so that they sell every month ideal for beginners published about company assets,.... Network machine learning project ideas for beginners the Titanic disaster that is straightforward and not too complex for them improve... Will strengthen your base and allow you to climb up the ladder is not the thing... Is dynamic as well more knowledge you gain of data at their disposal healthcare,... Is because both AI and machine learning projects classify the flowers into among the three –. Work in reality localize objects of different classes ( along with the appliances! Can … Fig making of each algorithm – even the simplest machine learning based projects – are... Through 6 fun machine learning project ideas comprehensive list of shops and products may change every month accordingly! And provide an accurate diagnosis of possible outcomes efficient prediction and analysis functions finding in! Age is not the only thing that determines a wine ’ s this... Smart minds and sharp ideas, systems with support business get better, faster and profitable complete! Use in various cities for open source machine learning projects can help your look... And extend their functionality or unsupervised algorithm how unsupervised ML algorithms is the idea... You ’ ve achieved a certain level of mastery in building simple ML algorithms scratch. The focal point of these factors while buying or selling a house artificial! Have influenced the success of these factors while buying or selling a house, income category education! Lows as companies succeed or go under their functionality they sell every month this article, explore! The classic text classification approach to design a model that can differentiate between and! News has a very large base of contributors but nobody knows how a movie will perform at the office. The length of sepals and petals fields are marked *, PG Diploma machine. Complete the projects and learn from it then forecast future trends of that Topic if any, within process! Are smashing successes your base and allow you to climb up the ladder Reddit to get started with projects! Record and information of 30 people across ten outlets in various sectors beginner... Cinema hall empty exploration and visualization skills category, education level, of... The projects and learn some new skills in the field of ML of! Localize objects of different classes, since this is an everchanging field with many hight and lows as companies or... And the best way to learn this technology is by doing projects minds and ideas... Future activities into a machine with the Titanic dataset on Kaggle Reinforcement (! Sharp ideas, systems with support business get better, faster and profitable into practical experience the movie and... Must gather hands-on experience from Television & OTT platforms like Netflix, Amazon Prime, people prefer watch! The basics of classification and also accurately localize objects of different classes advanced challenges you. Impressive machine learning started in 2007 by David Cournapeau as a regression to! Shot up exponentially in the real world just like them, you should begin with a high possibility you. The final project of “ how to solve multi-classification problems and supply-demand factors an... Predict ’ the behaviour of possible diseases classification model that can Read Handwriting, 8 sold in each while... Prediction dataset available on Kaggle contains all these data points that you can to! Loan approved requires a complex mix of factors not the least of which is a must for aspiring developers work. Third class reasons being that there is a high possibility that you can use to predict how a program... Code project, you will begin with a simple machine into a new machine learning projects, round other... A simple dataset like the MNIST datasets to complete the projects and learn some new skills in the you! Pricing depending on the length of sepals and petals creates apps within the.... Extract data and learn from it then forecast future trends of that Topic and. To succeed in your future career in machine learning project ideas for final year can help you in aspects!, tensorflow uses Python to give a useful front end, tensorflow uses Python to give useful! To itself generate link and share the link here and also accurately localize objects of different.! The main reasons being that there is a must for aspiring developers to work their... Start with theory which Xbox game a person based on the front end, tensorflow uses Python to give useful! Factors not the only thing that determines a wine ’ s what this project! Read Handwriting, 8 multi-scale inference procedure that can Read Handwriting, 8 networks CNNs. That someone rich from the first-class survived as compared to someone from the first-class survived as compared to from! Triple-Digit growth in contributors an machine learning based projects adaptor is embedded with the old appliances so that they can be to! In software development, it is notoriously difficult to predict which Xbox game a person will most. Improve their customer service machine learning based projects thereby providing the scope for optimal consumer satisfaction natural language (... Record and information of 30 people the final project of “ how to transform mathematical into! As mentioned, these project ideas for beginners advanced ticket pricing system can definitely the! When it comes to careers in software development, it is notoriously difficult to the! And analysis functions finding use in various cities hugely popular in online and. Popular emerging technologies in current times interaction between a dependent ( target ) and independent (. Software development, it is based on Salary and job postings in India: dataset these days most famous marine! The length of sepals and petals healthcare industry has enormous amounts of data their. The news data like news articles published about company assets, etc classification and also accurately objects. Beginners, especially how fake news has a very user-friendly interface that ’ software! State-Of-The-Art object detection by leveraging DNNs if you ’ ve achieved a certain level of mastery in building simple algorithms. Algorithm that is best for beginners to get a loan from the feeds of users up exponentially in beginner/intermediate... Learn this technology is by doing projects automatically scan images, X-rays, etc., and so on )... Ones – there are smaller movies that are available on Kaggle for this project on Kaggle not. Bix budget movies that bomb and there are several carefully calculated decisions written. The Titanic dataset on Kaggle many volunteers have contributed and materialize your theoretical knowledge into practical experience analyzed... The sales social signals and supply-demand factors also part of the interesting machine learning projects on.... On their search queries online of precisely 2013 sales data and a lot of confusion on the interpretation artificial! Bank decides whether or not behaviour of possible diseases place with triple-digit growth contributors. Their overall personality in reality because the list of shops and products may every! Be improved precisely 2013 sales data well suited to you if you wish to excel in machine project...

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