MachineHack does not need an introduction. It has already become a favourite destination for the young Data Science and Machine Learning aspirants within a short period of time.\r\n\r\nAs a brainchild of Analytics India Magazine, a media portal that is dedicated to expanding and promoting the Data and Analytics community in India, MachineHack is a necessary platform for anyone who thinks analytics or machine learning is for them.\r\n\r\nClosing on to its second successful year, MachineHack is a growing platform with a mission to support the ever-growing data science community and to help young aspirants learn and improve their skills in the field of analytics.\r\n\r\nMachineHack is not just about writing code, it also delves deeper into analytics by hosting challenges that are unique and are spread across the entire domain. The Visualization Is Beautiful series is such a series of hackathons dedicated to producing better data visualization experts.\r\nGetting Started With MacineHack Competitions\r\nMachineHack is known for simplicity in user interactions. Just Sign Up with your email, get a confirmation mail, activate your account and you are all ready to go. MachineHack currently has 18 hackathons out of which four are Data Visualization challenges.\u00a0\r\nChoosing A Hackathon\r\nIf you have a definite plan on upskilling, choosing a specific hackathon can be simple. Reading the problem description will give you all the details required on understanding the problem statement, the evaluation metrics and a basic idea to approaching it. There are hackathons on a variety of Machine Learning problems such as Regression, Classification and Computer Vision which the users can choose to participate in.\u00a0\u00a0\r\nMachineHacks Top Performing Hackathons:\r\nHackathons On Regression:\r\n\r\n \tPredict The Price Of Books (Live)\r\n \tPredicting The Costs Of Used Cars \u2013 Hackathon By Imarticus Learning\r\n \tPredicting Restaurant Food Cost Hackathon\r\n \tPredict The Flight Ticket Price Hackathon\r\n \tPredict A Doctor\u2019s Consultation Fee Hackathon\r\n \tMLDS Predict Financial Strength Of Countries Hackathon\r\n \tHow To Choose The Perfect Beer\r\n \tPredicting House Prices In Bengaluru\r\n\r\nHackathons On Classification:\r\n\r\n \tPredict The News Category Hackathon\r\n \tPredict The Data Scientists Salary In India Hackathon\r\n \tWhose Line Is It Anyway: Identify The Author Hackathon\r\n\r\nHackathons On Computer Vision:\r\n\r\n \tWho Let The Dogs Out: Pets Breed Classification Hackathon\r\n\r\nMachineHack For Data Science Noobs\r\nAre you someone who has nothing more than a basic idea of Data Science but wants to choose it as the path to your wonderful career? Are you someone familiar with all the machine learning algorithms but have no clue on implementing it in Python? Are you someone who is totally starting out on Data Science or Machine Learning? MachineHack has the solution for you.\r\n\r\nWith the new practise sessions, any noob (read: newbie) can instantly start coding and implement Machine Learning algorithms in Python effortlessly. In a non-intimidating approach to Machine learning, the practise session allows you to get familiar with complicated mathematical algorithms in Machine Learning with example codes. The practice session is intended to express the simplicity in implementing Machine Learning algorithms.\r\n\r\nOnce you get familiar with the code, the algorithm and its use cases, jump on to our hackathons to test your knowledge and implement it right away.\r\n\r\nHere are the top Practice sessions on MachineHack:\r\n\r\n \tMachineHack Practise 10: Extreme Gradient Boosting Classification\r\n \tMachineHack Practise 9: Naive Bayes Classification\r\n \tMachineHack Practise 8: Support Vector Classification\r\n \tMachineHack Practise 7: K-Nearest Neighbours Classification\r\n \tMachineHack Practise 6: Logistic Regression\r\n \tMachineHack Practise 5: Random Forest Regression\r\n \tMachineHack Practise 4: Decision Tree Regression\r\n \tMachineHack Practise 3: Support Vector Regression\r\n \tMachineHack Practise 2: Multiple Linear Regression\r\n \tMachineHack Practise 1: Linear Regression\r\n\r\nConnecting Techies\r\nMachineHack also has a dedicated discussion forum for each and every hackathon where users can post their queries or doubts and get it answered by fellow participants. An opportunity to connect with other participants and learn.\r\n\r\nAny technical issues will also be cleared by the technical team at MachineHack, all you need to do is post a message in the discussion forum or sent an email to email@example.com.\r\n\r\nNot to mention the grand summits organised by Analytics India Magazine. Currently running 4 grand summits a year starting with Machine Learning Developers Summit (MLDS), The Rising, The MachineCon and Cypher. Each hackathon in Machinehack gives its participants an opportunity to attend one of these grand summits - a great opportunity to connect with brilliant minds in the field.\u00a0\r\n\r\nCheck out the upcoming MLDS 2020 summit here.\r\nBuild Your Portfolio\r\nMachineHack gives you a unique opportunity to build and promote your own portfolio, all you have to do is prove your skills in any of its hackathons and Analytics India Magazine will publish a story about you and your approach in solving the problem.\r\nSubmitting Your First Solution\r\nIf you wish to get your Data Scientist dream jump-started, MachineHack is the right place for you. Start by signing up, pick a hackathon and submit your solution. Follow the steps below to solve your first MachineHack hackathon and be part of the growing community.\r\n\r\nStep 1: Head to www.machinehack.com and sign up. You will receive a confirmation email, once you get it, activate your account and sign in to MachineHack.\r\n\r\n\r\n\r\nStep 2: Click on Hackathons to browse through the different hackathons.\r\n\r\n\r\n\r\nStep 3: Pick a hackathon to participate.\r\n\r\n\r\n\r\nStep 4: Start the hackathon\r\n\r\n\r\n\r\nStep 5: Read the rules and confirm.\r\n\r\n\r\n\r\nStep 5: Get the datasets\r\n\r\n\r\n\r\nStep 6: Solve the hackathon\r\n\r\nDepending on the type of hackathon, build a predictive model. Analytics India Magazine has numerous amount of resources to get you started with any of the hackathons with its dedicated Developers Corner. Check out the below link for cracking the latest hackathon.\r\n\r\nStep-By-Step Guide To Cracking MachineHack\u2019s Predict The Book Price Hackathon\r\n\r\nStep 7: Submit your solution\r\n\r\nSelect your file, upload it, give it a comment to distinguish your latest submission and click SUBMIT ASSIGNMENT to submit your solution.\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\nStep 8: Check your score on the hackathon leaderboard\r\n\r\n\r\n\r\nMachineHack provides everything that a data scientist who\u2019s just starting out would need to upskill and become an expert. With exciting new hackathons launching regularly, MachineHack aims to be the best platform for anyone who wishes to have a career in the Machine Learning and Data Science domain.