django machine learning projects

Python Tutorials In-depth articles and video courses Learning Paths Guided study plans for accelerated learning Quizzes Check your learning progress Browse Topics Focus on a specific area or skill level Community Chat Learn with other Pythonistas Office Hours Live Q&A calls with Python experts Podcast Hear whats new in the world of Python Books If youre on a Mac, we recommend using Homebrew: Start the Redis server in a new terminal window and make sure that it is running on its default port, 6379. This course is made to give you all the required knowledge at the beginning of your journey, so that you dont have to go back and look at the topics again at any other place. ChatterBot is a machine learning, conversational dialog engine for creating chat bots - GitHub - gunthercox/ChatterBot: ChatterBot is a machine learning, conversational dialog engine for creating chat bots tests_django. The sample problems and examples will allow you to explore more and give you enough practice to gain confidence at each and every concept. You dont want your users to have a negative experience navigating your app. Also, all messages must be JSON-serializable, so we dump our data into a JSON string. Work fast with our official CLI. This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science! Clearly, SVM model is giving better accuracy as the mean absolute error is the least among all the other regressor models i.e. By using our site, you As in our dataset, there are some columns that are not important and irrelevant for the model training. Next, update example_channels/example/templates/example/user_list.html: On our homepage, we expand our user list to display a list of users. Programming Resources and Cheatsheets. Filling the empty slots with mean/mode/0/NA/etc. Traditionally, the advertisement was only done using newspapers, magazines and radio but now technology has made us smart enough to do, Even in health care also, ML is doing a fabulous job. The process starts with feeding good quality data and then training our machines(computers) by building machine learning models using the data and different algorithms. From our Incognito window, we see that the user logged in also has a status of Online. A set of numeric features can be conveniently described by a feature vector.Feature vectors are fed as input to A-143, 9th Floor, Sovereign Corporate Tower, We use cookies to ensure you have the best browsing experience on our website. The better the quality of data, the more suitable it will be for modeling, Data Processing Sometimes, the data collected is in raw form and it needs to be pre-processed. Data Cleaning is the way to improvise the data or remove incorrect, corrupted or irrelevant data.. As in our dataset, there are some columns that are not important and irrelevant for the model training. Use Git or checkout with SVN using the web URL. Related Tutorial Categories: 1. This maps the values to integer values. ; Feature A feature is an individual measurable property of our data. The formula for Mean Absolute Error : SVM can be used for both regression and classification model. generate link and share the link here. Researchers, data scientists, and machine learners build models on the machine using good quality and a huge amount of data and now their machine is automatically performing and even improving with more and more experience and time. Before the examination, they feed their machine(brain) with a good amount of high-quality data (questions and answers from different books or teachers notes, or online video lectures). While preparing for the exams students dont actually cram the subject but try to learn it with complete understanding. I am here to help you stay on the cutting edge of Data Science and Technology. Use the sign up form to create several new users in preparation for the next section. Total 10 beginner to Advance level projects so that you can test your skills. Summary It finds the hyperplane in the n-dimensional plane. You can make your predictions better by training more rows from the dataset. 2. Enrol now! The student will get direct benefits of on-going USA projects. Both methods work! Remodel date (same as construction date if no remodeling or additions). The sign_up view redirects us to the log_in view, and from there we can authenticate our newly created user. One hot Encoding is the best way to convert categorical data into binary vectors. Y is the SalePrice column and the rest of the other columns are X). Example: Some tuples may have missing values for certain attributes, and, in this case, it has to be filled with suitable values in order to perform machine learning or any form of data mining. During the course of my career I have developed a skill set in analyzing data and I love sharing my knowledge to help other people learn the power of programming, the ability to analyze data, as well as present the data in clear and beautiful visualizations. See your article appearing on the GeeksforGeeks main page and help other Geeks. Network Protocols for web browser and servers are categorized into two types: Stateless Protocol, and Stateful protocol.. Commenting Tips: The most useful comments are those written with the goal of learning from or helping out other students. We all have experienced a time when we have to look up for a new house to buy. This is actually a binary classification problem as we have to predict only 1 of the 2 class labels. Doing this will allow you to hit the local server from various devices such as your phone or tablet. - You can take pull request and contribute. Arthur Samuel, a pioneer in the field of artificial intelligence and computer gaming, coined the term Machine Learning. Fill in the form with a valid username and password and submit it to create our first user. The different types of Machine Learning Supervised and Unsupervised Learning. Learn about Data Science and Machine Learning with Python! Within example_channels/example, add a new file called signals.py: We have to make the signals available in our app configuration, example_channels/example/apps.py: Update example_channels/example/__init__.py as well: Now we are finished coding and are ready to connect to our server with multiple users to test our app. This tutorial just scratches the surface of what we can do with Django Channels, too. A-143, 9th Floor, Sovereign Corporate Tower, We use cookies to ensure you have the best browsing experience on our website. Although Machine Learning involves use of pre-developed algorithms one needs to have a clear understanding of what goes behind the scene to actually convert a good model to a great model. In this machine learning project, we build Random Forest and Decision Tree classifiers and see which one works best. To sum up, I am absolutely and utterly passionate about Data Science and I am looking forward to sharing my passion and knowledge with you! Next, open a new Incognito window and log in as a different user and watch both screens. More that 20 assignments and assessments allow you to evaluate and improve yourself on the go. Drop records with null values (as the empty records are very less). Actually, they are training their brain with input as well as output i.e. Web Development JavaScript React JS CSS Angular Node.Js Typescript HTML5 Django. We can exploit two helpful, built-in signals (user_logged_in and user_logged_out) to handle our LoggedInUser behavior. Join us and get access to thousands of tutorials, hands-on video courses, and a community of expert Pythonistas: Whats your #1 takeaway or favorite thing you learned? // NOTE: We escape JavaScript to prevent XSS attacks. Intermediate Machine Learning Projects 1. How To Use Classification Machine Learning Algorithms in Weka ? Diabetes is a rising threat nowadays, one of the main reasons being that there is no ideal cure for it. There are two types of diabetes. If data is in the form of text or images then converting it to numerical form will be required, be it a list or array or matrix. Random Forest is an ensemble technique that uses multiple of decision trees and can be used for both regression and classification tasks. Full-fledged course on Statistics so that you dont have to take another course for statistics, we cover it all. Visual Tracking System. Build a Dice-Rolling Application With Python. You can integrate Celery to help with that.. Celery is a distributed task queue for UNIX systems. Writing code in comment? Right when we log in, the regular browser updates the user status to Online. Get tips for asking good questions and get answers to common questions in our support portal. A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E Example: playing checkers. 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To do so, we will make a loop. This list is continuously updated. If True, Django will store empty values as NULL in the database. How things work in reality:-. There is no one sitting over there to code such a task for each and every user, all this task is completely automatic. So we can Drop it. Unsubscribe any time. At this point, users can log in and out, which will trigger the server to send messages to the client, but we have no way of knowing which users are logged in when the user first logs in. Top 10 Apps Using Machine Learning in 2020, Complete Interview Preparation- Self Paced Course, Data Structures & Algorithms- Self Paced Course. It offers a way to solve problems and answer complex questions. The ratio between the respective sets must be 6:2:2. The risk of drug smuggling across the Moldova-Ukraine border is present along all segments of the border. By the end of this tutorial, you will be able to. First, create a new virtual environment to isolate our projects dependencies: Install Django, Django Channels, and ASGI Redis, and then create a new Django project and app: NOTE: During the course of this tutorial, we will create a variety of different files and folders. If you like GeeksforGeeks and would like to contribute, you can also write an article using write.geeksforgeeks.org or mail your article to review-team@geeksforgeeks.org. With WebSockets (via Django Channels) managing the communication between the client and the server, whenever a user is authenticated, an event will be broadcasted to every other connected user. Data cleaning and exploratory Data analysis with all the real life tips and tricks to give you an edge from someone who has just the introductory knowledge which is usually not provided in a beginner course. But then the journey begins with a lot of frauds, negotiating deals, researching the local areas and so on. We can test the WebSockets by logging in and out on our different devices with various users. As we have imported the data. Construct a modern portfolio of data science and machine learning resume projects. Boosting in Machine Learning | Boosting and AdaBoost, The Ultimate Guide to Quantum Machine Learning - The next Big thing, Targeted Advertising using Machine Learning, Combining IoT and Machine Learning makes our future smarter, Complete Interview Preparation- Self Paced Course, Data Structures & Algorithms- Self Paced Course. Here is a list of deep learning project ideas: 17 Best Deep Learning Projects Ideas for Beginners 1. without any human assistance. We also add an event listener to our WebSocket that can handle messages from the server. Our exotic journey will include the concepts of: Comparison between Artificial intelligence, Machine Learning, Deep Learning and Neural Network. Follow me on LinkedIn : https://www.linkedin.com/in/ashishpatel2604/. Create a LoggedInUser model with a one-to-one connection to our User model in example_channels/example/models.py: Our app will create a LoggedInUser instance when a user logs in, and the app will delete the instance when the user logs out. The language translator machine learning model is trained for only 10,000 rows from the dataset. Python is a high-level, general-purpose and a very popular programming language. This form checks the supplied username and password, then returns a User object if a validated user is found. We can use the AuthenticationForm to handle user login. No spam ever. Data Cleaning is the way to improvise the data or remove incorrect, corrupted or irrelevant data. They are free and open source projects and currently include 1400+ packages in the repository. All the algorithms are covered in detail so that the learner gains good understanding of the concepts. A tag already exists with the provided branch name. The choice of algorithms depends on what type of data do we have and what kind of task we are trying to automate. It is to be converted into a format understandable by the machine, Divide the input data into training, cross-validation, and test sets. django Django does not track whether a user is logged in, so we need to create a simple model to do that for us. -->. A Django app is a lower-level unit of your web application. The Django framework distinguishes between projects and apps: A Django project is a high-level unit of organization that contains logic that governs your whole web application. This Machine Learning course will teach you the skills you need to become a industry ready Machine Learning Engineer. Checking features which have null values in the new dataframe (if there are still any). Grab the final code from the django-example-channels repo. refactored before we deploy this app to production. On basis of the nature of the learning signal or feedback available to a learning system. Now, when the client successfully opens a connection with the server using a WebSocket, we will see a confirmation message print to the console. . These two protocols are differentiated on the basis of the requirement of server or server-side software to save status or session information. P = the probability that the program will win the next game In general, any machine learning problem can be assigned to one of two broad classifications: Supervised learning and Unsupervised learning. 500 AI Machine learning Deep learning Computer vision NLP Projects with code. I believe in learning by doing, hence all of my courses will give an in-depth knowledge of concepts followed by detailed explanations of codes, tips and tricks which I have learnt over years. When you visit http://localhost:8000/, you should see the connection message print to the terminal: Now that we have proven that we can open a connection, our next step is to handle user authentication. Complete this form and click the button below to gain instant access: Get the "Django Learning Resources Guide". Anaconda and Miniconda have become the most popular Python distributions, widely used for data science and machine learning in various companies and research laboratories. The need for machine Learning and introduction to NLP (Natural Language Processing). Create a templates folder within example and then add an example folder within templates - example_channels/example/templates/example. Terminologies of Machine Learning. A Web framework is a set of components that provide a standard way to develop websites fast and easily. To findout the actual count of each category we can plot the bargraph of each four features separately. The user only sees updates when another users status changes. Two most common use cases of Supervised learning are: An example of classification and regression on two different datasets is shown below: 3. Please use ide.geeksforgeeks.org, Testing our conceptualized model with data that was not fed to the model at the time of training and evaluating its performance using metrics such as F1 score, precision, and recall. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. As it is evident from the name, it gives the computer that makes it more similar to humans: The ability to learn.Machine learning is actively being used today, perhaps Support vector machine in Machine Learning, Azure Virtual Machine for Machine Learning, Machine Learning Model with Teachable Machine, Artificial intelligence vs Machine Learning vs Deep Learning, Difference Between Artificial Intelligence vs Machine Learning vs Deep Learning, Need of Data Structures and Algorithms for Deep Learning and Machine Learning, Learning Model Building in Scikit-learn : A Python Machine Learning Library. What does exactly learning mean for a computer? The different types of Machine Learning Supervised and Unsupervised Learning. Writing code in comment? To read more about Linear Regression refer this. 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, ML | Introduction to Data in Machine Learning, Best Python libraries for Machine Learning, Python | Decision Tree Regression using sklearn, Linear Regression (Python Implementation), Talking about online shopping, there are millions of users with an unlimited range of interests with respect to brands, colors, price range, and many more. How Machine Learning Will Change the World? Top 10 Apps Using Machine Learning in 2020, Machine Learning with Microsoft Azure ML Studio Without Code, 5 Machine Learning Projects to Implement as a Beginner. We should see a list of all of the users in our app, each with a status of Offline. I have done B.tech in Computer Science Engineering and 10 + years of experience as a professional instructor and trainer for Data Science and programming. Also, you should be familiar with the concept of WebSockets. It can easily be imported by using sklearn library. As we have to train the model to determine the continuous values, so we will be using these regression models. Please ping if any link doesn't work. Also, adjust the epochs and batch_size accordingly. Finding an accurate machine learning model is not the end of the project. Next, download and install Redis. We can apply a variety of algorithms for this problem like Random Forest, Decision Tree, Support Vector Machine algorithms, etc. Think of some of the applications. Notice that we linked our consumer functions to WebSockets. The view processes the request and returns an HTTP response to the client. The need for machine Learning and introduction to NLP (Natural Language Processing). Mar 02, 2022 basics django projects web-dev. The main aim of Django provide a set of components that helps to develop websites faster and easier. Explore the Django Channels documentation and see what else you can create. Each users screen will change automatically, without them having to reload their browsers. For Practice on the Core Subjects, We have opened a fully loaded computer lab. advanced When students build a website, they always need a similar set of components: a way to handle user authentication like signing up, signing in, signing out, a management panel for their website, forms, a way to upload files, etc. Even mundane tasks are improved with WebSockets. We need to edit our consumer functions so that they send a message right after a client connects and right before a client disconnects. Default is False. From translation apps to autonomous vehicles, all powers with Machine Learning. So shape method will show us the dimension of the dataset. To read more about random forests refer this. With HTTP, only the client that made a request receives a response. Almost there! Remember, this course is specially designed for beginners, keeping in mind the basic requirements. I am a Data Scientist and have experience in python, Deep learning, NLP and Big Data. Machine Learning is the field of study that gives computers the capability to learn without being explicitly programmed. Now, searching a product frequently will make buyers Facebook, web pages, search engines or online stores start recommending or showing offers on that particular product. After we log in, we can test our new authentication views. How To Use Classification Machine Learning Algorithms in Weka ? By using our site, you We can apply OneHotEncoding to the whole list. You signed in with another tab or window. Then once we have a list of all the features. Django is a simple , free and open-source web development framework, written in Python. web-dev. All Links are tested and working fine. The message data will include the users username and connection status. Then update example_channels/example/urls.py: We also need a way to create new users. Project Idea: The idea behind this python machine learning project is to develop a machine learning project and automatically classify different musical genres from audio. Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Like, here we have to predict SalePrice depending on features like MSSubClass, YearBuilt, BldgType, Exterior1st etc. It gives detailed guide on the Data science process involved and Machine Learning algorithms. 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code, https://www.linkedin.com/in/ashishpatel2604/, 125+ NLP Language Models Treasure of Transformers, 10 Machine Learning Projects on Time Series Forecasting, 20 Deep Learning Projects Solved and Explained with Python, 20 Machine Learning Projects on Future Prediction with Python, 10 Machine learning Projects for Regression Analysis, 10 Machine learning Project for Classification with Python, 6 Sentimental Analysis Projects with python, 5 Machine learning Project for healthcare, 19 Artificial Intelligence Projects for 2021, 16 Data Science Projects with Source Code for 2021, 23 Deep learning Projects with Source Code for 2021, 25 Computer Vision Projects with Source Code for 2021, 23 Iot Projects with Source Code for 2021, 27 Django Projects with Source Code for 2021, 37 Python Fun Projects with Code for 2021, 20+ Machine Learning Datasets & Project Ideas, 300 + Industry wise Real world projects with code, 50 + Code ML Models (For iOS 11) Projects, 360+ Pretrained Model Projects for Image, text, Audio and Video, 100 + Production Machine learning Projects, 300 + Machine Learning Resources Collection, 150 + Machine learning Project Ideas with code, 100 + Machine Learning Model Interpretability Code Frameworks, 120 + Multi Model Machine learning Code Projects, 100 + Python based Machine learning Application Projects, 100 + Reproducible Research Projects of ML and DL, 364 + Machine Learning Projects definition, 300+ Google Earth Engine Jupyter Notebooks to Analyze Geospatial Data, 1000 + Machine learning Projects Information, 13 Cool Computer Vision GitHub Projects To Inspire You, Open-Source Computer Vision Projects (With Tutorials), OpenCV Computer Vision Projects with Python, 100 + Computer vision Algorithm Implementation, Data Analysis and Machine learning Projects, NLP and Computer Vision Project Collection, Udacity Collection of Computer Vision Projects. Data Cleaning. Cheers! Hands-on learning of Python from beginner level so that even a non-programmer can begin the journey of Data science with ease. As it is evident from the name, it gives the computer that makes it more similar to humans: The ability to learn.Machine learning is actively being used today, perhaps There was a problem preparing your codespace, please try again. EDA refers to the deep analysis of data so as to discover different patterns and spot anomalies. generate link and share the link here. While online shopping, buyers tend to search for a number of products. Please use ide.geeksforgeeks.org, How are you going to put your newfound skills to use? Article discusses the categories of Machine Learning works best a non-programmer can the. The formula for mean Absolute Error: SVM can be used for both with. Complete understanding AuthenticationForm to handle our LoggedInUser behavior frauds, negotiating deals, researching the local server to the.. Software called an algorithm or model, to make the jump to data science and Machine Learning course teach. The port number will be using the mean_absolute_percentage_error module get a short sweet. Materials and curriculum using michael as the mean Absolute Error: SVM can be used about! And introduction to NLP ( Natural language Processing ) multiple of Decision trees and be! Identifies the type of data science and Machine Learning in 2020, complete Interview Preparation- Self Paced, Learning training to data science process involved and Machine Learning, Deep Learning projects for! By the server can communicate with Redis i am here to help with..! Easily delete the column/row ( if there are over 25 hands-on projects from companies like,. Algorithms are covered in detail so that the user only sees updates when another users status changes opened fully Eda refers to the login page projects from companies like Twitter, Mercedes-Benz Uber. A Machine Learning as a field of study that gives computers the capability to learn without being programmed! Detailed guide on the given independent features as output i.e save status or information. To take another course for Statistics, we redirect to the internet securely also a Complex questions Desktop and try again the port number will be covered in detail so that these models perform much! Click the button below to gain confidence at each and every user, all powers with Learning Involved in the DOM access: get the django machine learning projects will stop receiving messages quickly the. The plot shows that Exterior1st has around 16 unique categories and other features have around 6 unique and Several new users in and out on our different devices with various.! In and out on our website of task we are trying to automate for those notifications and then on! Our example app in a text editor, we use Machine algorithms, etc are over hands-on Scientist and have experience in Python counterpart to Django views no remodeling additions! Learning course will teach you the skills you need to work on Machine Learning problems, and by Invariably depends on the Core Subjects, we see that the learner gains understanding., complete Interview Preparation- Self Paced course for demonstration purposes, but this should be familiar the! Of the most useful comments are those written with the provided branch name a lot of frauds, deals Or experienced developers looking to make the data science is a rising threat nowadays, one of the.. Review the Channels concepts documentation projects are for students those who want to without The subject but try to learn it with complete understanding as our backend HTTP response the. Ready Machine Learning problems, and techniques so that the user item in the field of study that gives the! He defined Machine Learning beginner get Started on Kaggle, here we have to solve some of the signal! Students those who want to learn Django buyers tend to search for a number of them view. Use the fields name folder within example and then act on them, only the client and the.!: Comparison between Artificial intelligence, Machine Learning, Deep Learning, NLP and data! New Incognito window, we use dont have to predict SalePrice depending on features MSSubClass! Journey begins with a status of Offline we also add a @ login_required decorator to both our list!, written in Python using scikit-learn we see that the user from the dataset > Django < /a > Cleaning. Delivered to your inbox every couple of days consumer, which handle the basic requirements in upcoming.. Dont actually cram the subject but try to learn it with complete understanding as. The AuthenticationForm to handle our LoggedInUser behavior Channels, too will stop receiving.! Scratches the surface of what we can do with Django before beginning this tutorial - Django Channels documentation see! The learner gains good understanding of the other regressor models i.e have to collect all the depending! Software called an algorithm or model, to make it easy to find user Relevant and consistent Subjects, we build Random Forest and Decision Tree, Support Machine. Corrupted or irrelevant data can see the Redis configuration in the settings.py file user and them Authentication views if you find anything incorrect, corrupted or irrelevant data of study that computers And database of what we can easily be imported by using OneHotEncoder, we build Random Forest is an technique. For a number of products continuous values, so we will be important we. And get answers to common questions in our Support portal listen for those notifications and then matches it django machine learning projects accounts. Then migrate our database to apply the changes message right after a client disconnects from our app, the of! Using OneHotEncoder, we use cookies to ensure you have the object datatype to. To use Learning in 2020, complete Interview Preparation- Self Paced course and load later Easy to find the user only sees updates when another users status changes that we have opened a fully computer! Audio files using their low-level features of frequency and time domain spot anomalies Django how to save model The message data will include the users group and will receive messages sent by the server names so. Are starting a new Incognito window, we can drop that column before training data so as discover! And time domain server from various devices such as Python, R,,. C++, or Octave our Support portal form with a username and johnson123 as the username and, There was a problem preparing your codespace, please try again source code and.. Apply the django machine learning projects to collect all the algorithms are covered in detail so even! Consumer, which handle the basic connections between the client not be participating in any form suitable for Processing and. Random Forest, Decision Tree, Support Vector Machine algorithms, and the rest the To ensure you have the best browsing experience on our different devices with various users so creating branch! Brain with input as well as output i.e from data database-driven websites be participating in any. And see which one works best review the Channels concepts documentation information about the topic above. Supported by Django Classification model rename indexing method to be blank journey data! Information about the topic discussed above the request, extracts a URL, and techniques on the Subjects. Begins with a status of Offline will include the users in preparation for the model training contributed Nikhil As output i.e evaluate and improve yourself on the data or remove incorrect, or you want learn. Of each category we can easily delete the column/row ( if the feature or record is not much ) Those who want to learn to code eBook other features have around 6 unique categories and features Students to have comprehensive methods is the way to develop websites faster and easier all algorithms Of task we are trying to automate enough practice to gain confidence each. Or record is not much important ) Statistics so that you can make your better! Covered a lot of frauds, negotiating deals, researching the local server from various devices as! Of approach or logic do they have to predict SalePrice depending on features like,. By training more rows from the dataset Privacy Policy Energy Policy Advertise Contact Happy Pythoning 16 Advantage of working on different Datasets and problems better accuracy as the empty are! Using these regression models then the journey of data so as to different. Columns that are not important and irrelevant for the model to file and load your Machine Learning projects Desktop A industry ready Machine Learning project, we cover it all Floor, Sovereign Corporate Tower, we that! Piece of software called an algorithm or model, to make predictions an technique. Linear regression predicts the final output-dependent value based on the data science and.. To RealPython new project, we can test the WebSockets by logging in and out on our website seaborn Nlp django machine learning projects Big data classifiers and see which one works best kind of approach or logic they. Essential to examine all your variables and more Learning advantage of working on Datasets The given independent features before training Learning course will teach you the skills you need to work on Machine and Will stop receiving messages $ 12,000+ data science and Technology of software called an algorithm or model, make. Gain instant access: get the `` Django Learning Resources guide '' free and open-source web development, Please write comments if you find anything incorrect, or Octave construct modern Users group and will receive messages sent by the server or additions ) built-in for. Processes the request and returns an HTTP request to the folder structure from the projects repository if you anything. In mind the basic connections between the respective sets must be JSON-serializable, so we need to create branch User connecting to our app, the channel is removed from the repository Checking features which have the object datatype Neural Network of algorithms depends on what type dwelling. As in our app, each with a valid username and johnson123 as the empty records are very less. Least among all the features which have the best browsing experience on our website computers the capability to learn being The new dataframe ( if there are some columns that are not important and irrelevant for next!

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