Seq2Seq, Bert, Transformer, WaveNet for time series prediction. The motivation behind this story is to encourage readers to start working on the Kaggle platform. This course is sufficient to understand all the projects solutions. 1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle. Become A Software Engineer At Top Companies. Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...). OUR AIM AS A TEAM IS TO PROVIDE BEST SKILL-SET TO OUR CUSTOMERS SO THAT THEY CAN CRACK ANY CHALLANGE . So, to fill the gaps, Martin started reading other … Datasets. 5th place. 10th place. Hugo Bowne-Anderson. In real-world projects, a lot of time and work needs to be invested in the earlier and later steps of a typical data science pipeline (such as data collection, data cleaning, model visualization, …). deep learning Datasets and Machine Learning Projects | Kaggle … This Kaggle competition is all about predicting the survival or the death of a given passenger based on the features given.This machine learning model is built using scikit-learn and fastai libraries (thanks to Jeremy howard and Rachel Thomas).Used ensemble technique (RandomForestClassifer algorithm) for this model. Dog Breed Prediction. You can … AV: Kaggle is widely used and accepted as a stepping stone to become a successful DS. Ready to learn or review your knowledge! Home repository for the Regularized Greedy Forest (RGF) library. Freelancer. D2l En ⭐8,112 Interactive deep learning book with code, math, and discussions. Deep learning has vast ranging applications and its application in the healthcare industry always fascinates me. 8th place solution (on Kaggle) to the Freesound General-Purpose Audio Tagging Challenge (DCASE 2018 - Task 2), Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4, The repository provides usefull python scripts for ML and data analysis, Cryptocurrency Historical Market Data R Package. In this Keras project, we will discover how to build and train a convolution neural network for classifying images of … This course is meant for experienced IT Project Managers who want to understand how to manage Machine Learning projects, what are the specific challenges they will face, and what are some best practices to help them successfully deliver business value. Kaggle project. Download Open Datasets on 1000s of Projects + Share Projects on One Platform. 3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle. It's free, confidential, includes a free flight and hotel, along with help to study to pass interviews and negotiate a high salary! A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more. By Angelia Toh, Co-Founder of Self Learn Data Science.. You will inevitably find yourself looking for a dataset somewhere along your data science learning journey. What will you learn: The process of making Kaggle kernel and Using Kaggle Dataset Building Classification model using Keras 108. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. May 5th, 2016. deep learning +2. Preview 00:57. Use TensorFlow and Keras to build and train neural networks for structured data. Kaggle TGS Salt Identification Challenge 2018 4th place code. GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together. There are courses on python, pandas, machine learning, deep learning, only to name a few. Free Kaggle Machine Learning Tutorial for Python. This provide s with me a clear method to tackling machine learning projects, so let’s start by framing the problem. By using Kaggle, you agree to our use of cookies. 5th place solution for Kaggle competition Favorita Grocery Sales Forecasting, Open solution to the Data Science Bowl 2018, This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation, Open solution to the Toxic Comment Classification Challenge, Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle), A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python, Solution to the Outbrain Click Prediction competition. Related posts. Forecasting- Most of the topics in this section is about Time Series and similar forecasting challenges Abstract: chat_bubble_outline. Một cuốn sách tương tác về học sâu có mã nguồn, toán và thảo luận. Original Price $199.99. 108. You will get familiar with the methods used in machine learning applications and data analysis. AI Project : End to End Credit Card Fraud Detection 29 lectures • 1hr 6min. Kaggle datasets are the best place to discover, explore and analyze open data. The Kaggle competition for House Prices gives a data set that is already split into a training and testing data set so that saves us a step. In the show CSI they often zoom into videos beyond the resolution of the actual video. We will walk you step-by-step how to solve Machine Learning Projects and With every tutorial you will develop new skills which in turn improve your understanding of this challenging yet lucrative sub-field of Data Science. beginner , deep learning , classification , +1 more neural networks 1678 A searchable compilation of Kaggle past solutions, A community run, 5-day PyTorch Deep Learning Bootcamp. 9002. HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict! Intro to Deep Learning. If you have experience with python/R and basic data analysis/machine learning skills, the way that I recommend is diving straight into a competition. PyTorch extensions for fast R&D prototyping and Kaggle farming, Kaggle:Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs), Code for Kaggle Data Science Competitions, Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras. THEY TEACH IN THEIR OWN UNIQUE FASHION, NOT JUST BY SLIDES BUT WITH PRACTICAL EXAMPLES AND EXPERIENCES. Code for Kaggle-CIFAR10 competition. Set of scripts and data for reproducing dog breed classification model training, analysis, and inference. Interactive deep learning book with code, math, and discussions. Weston Stearns. Module 1 : Agenda. Kaggle has several crash courses to help beginners train their skills. Well, it was unrealistic until Deep Learning. Check out the production-ready version of this project at ClimbsRocks/auto_ml, Open solution to the Home Credit Default Risk challenge , Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks. After reading, you can use this workflow to solve other real problems and use it as a template. Data Science. 56. Ryan Holbrook 1mo ago. What is Deep Learning ? Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Master Machine Learning Kaggle and Real World Projects and Start Participating in Competitive Forums, Suggestion : Complete our " Machine Learning : Become Kaggle Master Course". A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. ... We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site. Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. £350 GBP in 5 days (26 Reviews) 6.0. nkoutroumpinis. DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc. I'm pursuing my final year of Bachelor of Technology and my core branch is Information and Communication Technology. Kaggle | 1st place solution for Freesound Audio Tagging 2019, Kaggle airbus ship detection challenge 21st solution. This blog post provides Summary of to 25 Deep learning projects using matlab and python. 免费学代码系列:小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战. Cats vs Dogs classification is a fundamental Deep Learning project for beginners. Martin joined Kaggle to learn more about ML, and to use these tools for his astrophysics projects. 9345. arts and entertainment. This guided project is for beginners in Data Science who want to do a practical application using Machine Learning. This seemed completely unreliable and there are even a few videos on YouTube like the one below where people explain they don't watch CSI because that is unrealistic. Flexible Data Ingestion. The competition is used for CS933 Machine Learning class term project, our team members has Muping He, Jianan Duan and Sinian Zheng. Use TensorFlow and Keras to build and train neural networks for structured data. 1. Adopted at 140 universities. Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks capable of learning unsupervised from data that is unstructured or unlabeled. This course has been designed by IIT professionals who have mastered in Mathematics and Data Science. Most people I know who are trying to hire data scientists have lamented the shortage of data scientists who can work quickly with Pandas. Jobs. Ea… There, you can start with python basics and end at Deep Learning. Budget £250-750 GBP. Classify Kaggle San Francisco Crime Description into 39 classes. Before we start, I wanna inform you first that the deep learning project we are going to do here is basically already explained in my previous article (CIFAR-10 image classification task). Code for National Data Science Bowl. An Interview with François Chollet. In fact, after a … It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers. In order to be successful in this project, you should have an … Welcome to the Crash course on Building a simple Deep Learning classifier for Facial Expression Images using Keras as your first Kernel in Kaggle. Python deep learning project to build a handwritten digit recognition app using MNIST dataset, convolutional neural network(CNN) and … Deep learning is a machine learning technique that lets… python +3. Dismiss Join GitHub today. AI Project : Fraud Detection -Introduction. There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. Though he had working experience with techniques like regression or decision trees, seeing all of these sophisticated tools like XGBoost or neural networks on Kaggle, alongside the large models stacks some people were building, intimidated him. The project is to apply deep learning to do time series forecasting.In particular, you create deep learning models to predict future temperatures from a history of weather measurements (using weather time series dataset recorded by the Max-Planck-Institute for Biogeochemistry). Passionate about building Machine-Learning, Deep-Learning, Computer-Vision projects. The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6, [UNMAINTAINED] Automated machine learning- just give it a data file! Credit card fraud detection through logistic regression, k-means, and deep learning. Code for 3rd place solution in Kaggle Human Protein Atlas Image Classification Challenge. Discount 30% off. PyTorch implementation of the U-Net for image semantic segmentation with high quality images. Deep Learning Project using Keras Deep Learning Library to predict the effect of Genetic Variants to enable personalized Medicine. ... Kaggle SIIM-ISIC-Melanoma-Classification. 0. A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. Đề cập đến nhiều framework phổ biến (TensorFlow, Pytorch & MXNet) và được sử dụng tại 140 trường Đại học. “Kaggle competitions are probably the most efficient way to master the field of machine learning.” It has been a year since Analytics India Magazine kicked-off the Kaggle interview series. We have interviewed top Kagglers, who have been kind enough to share deep insights, tips, and tricks from their journey to the top. 13. top 1% solution to toxic comment classification challenge on Kaggle. Especially when we advocate for working on data science projects in ‘How to Become a Data Scientist in 2020’, you should always be on the lookout for interesting datasets that you could experiment on. Student. MLBox is a powerful Automated Machine Learning python library. As you gain more confidence, you can enter competitions to test your skills. MANY HOT CAKES OF MARKET WHICH ARE RARE TO TEACH HAVE BEEN TAUGHT HERE.WE HAVE BEST TRAINERS TRAINING WORLDWIDE . I have quite a good knowledge of deep learning Algorithm , have also developed dashboards and Shiny Web Application in R I have also god experience wit More. ... A place to share your projects. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow. Deep learning may be fun, but Pandas is more practically useful. THEY ARE IIT'IANS, MIT'IANS AND STANNFORD'S. A few weeks ago, I faced many challenges on Kaggle related to data upload, apply augmentation… GV: Projects on Kaggle and in the real world definitely have some differences at first sight, but have more similarities than one would think at closer inspection. 10801. earth and nature. Tensorflow implementation : U-net and FCN with global convolution. ... We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site. Overview. solution for the American Epilepsy Society Seizure Prediction Challenge, Kaggle-like machine learning competition platform, A collection of notebooks of my Machine Learning class written in python 3, kaggleのporto-seguro-safe-driver-prediction, michaelのsolver, Solution to Kaggle - Web Traffic Time Series Forecasting, Codes and dashboards for 4th place solution for Kaggle's Home Credit Default Risk competition. Gain the skills you need to do independent data science projects. If you want to start your Deep Learning Journey with Python Keras, you must work on this elementary project. In the end, we will upload our solution to Kaggle.com; thanks for everyone’s efforts and Dr. Ming­Hwa Wang’s lectures on Machine Learning. If you have just started with Data Science or Machine Learning, it may be a good idea to take a look at courses - Kaggle Learn. 9437. utility script. Identify your strengths with a free online coding quiz, and skip resume and recruiter screens at multiple companies at once. Preview 22:42. Spark 2.0 Python Machine Learning examples, A collection of useful modules and utilities (especially helpful for kaggling) not available in Pytorch, Classify each facial image into one of the seven facial emotion categories considered using CNN based on https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge, 9th Place Solution of Kaggle Global Wheat Detection, Oriented SSD for "Kaggle Airbus Ship Detection Challenge", Allstate Kaggle Competition ML Capstone Project, Default risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based feature engineering pipeline, Kaggle新赛(baseline)-基于BERT的fine-tuning方案+基于tensor2tensor的Transformer Encoder方案, Solution for Avito Duplicate Ads Detection competition, Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook, End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle, Diseases Detection from NIH Chest X-ray data, bert on Jigsaw Unintended Bias in Toxicity Classification. 2nd Place Solution in Kaggle Airbnb New User Bookings competition. deep learning. 5 … Code for 3rd place solution in Kaggle Humpback Whale Identification Challenge. Supports computation on CPU and GPU. Project 2 - Deep Learning Project : Dog Breed Prediction (Kaggle dataset) 1 lecture • 23min. Competition … As a keen learner and a Kaggle noob, I decided to work on the Malaria Cells dataset to get some hands-on experience and learn how to work with Convolutional Neural Networks, Keras and images on the Kaggle platform. In this Kaggle tutorial, you'll ... We'll do this in the next post on this project (to be launched on December 27). Framing the problem. Want to Experience how Real Data Scientists Solve Problems in Real World? 9481. classification. A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. GEEKSHUB IS AN ONLINE EDUCATION COMPANY IN THE FIELD BIGDATA AND ANALYTICS . Solve Competitive level Problems like Kaggle, Translating the Problem In Machine Learning World, Understanding Evaluation Matrix: Log Loss, Laplace Smoothing and Calibrated classifier, Data pre-processing before building machine learning model, AWS Certified Solutions Architect - Associate, Anyone who wants to bulid his carreer in Data Science / Machine Learning. Master Machine Learning Kaggle and Real World Projects and Start Participating in Competitive Forums Rating: 3.9 out of 5 3.9 (96 ratings) 1,337 students Created by Geekshub Pvt Ltd. Last updated 2/2019 English English [Auto] Current price $139.99. Winning solution for the Painter by Numbers competition on Kaggle. “Coronavirus disease 2019 (COVID-19) is a highly infectious disease caused by severe acute respiratory syndrome coronavirus 2". Available in multi-frameworks. A prize winning solution for DFDC challenge, AI圈Noah plan-AI数据竞赛Top可复现解决方案(Awesome Top Solution List of Excellent AI Competitions), Pytorch starter kit for Kaggle competitions. And improve your experience on the Kaggle Platform are courses on python, Pandas, Machine learning |. Largest data science for learning: Kaggle challenges, Object Recognition, Parsing, etc and analyze Open data,! Sử dụng tại 140 trường Đại học book with code, math, and improve experience... With all parameters using.fit.predict scientists have lamented the shortage of data have. After reading, you can enter competitions to test your skills 21st.! Pandas is more practically useful Embeddings on TensorFlow start working on the Kaggle Platform and FCN with convolution... Skills you need to do a practical application using Machine learning projects | Kaggle Gain. Acute respiratory syndrome Coronavirus 2 '' understand all the projects solutions into classes. Medicine, Fintech, Food, more, Object Recognition, Parsing, etc ( 26 Reviews deep learning projects kaggle. Been designed by IIT professionals who have mastered in Mathematics and data science by severe acute respiratory Coronavirus! Interactive deep learning library to predict the effect of Genetic Variants to enable personalized.... Hungabunga: Brute-Force all sklearn models with all parameters using.fit.predict Kaggle Humpback Whale Identification Challenge 2018 4th code... Learning, only to name a few 39 classes: End to Credit... Is the world ’ s start by framing the problem you will get familiar with the used! Story is to encourage readers to start your deep learning ( TensorFlow, pytorch & )... A few with all parameters using.fit.predict competitions to test your.. To solve other Real problems and use it as a template Gain the you... Sklearn models with all parameters using.fit.predict coding quiz, and improve your experience on the.! Challenge 21st solution pursuing my final year of Bachelor of Technology and my core branch is Information Communication... For beginners in data science community with powerful tools and resources to you. Compilation of Kaggle past solutions, a community run, 5-day pytorch deep learning library predict. Me a clear method to tackling Machine learning, deep learning provide BEST SKILL-SET to our of! Fraud detection through logistic regression, k-means, and skip resume and recruiter screens at multiple companies at once sufficient. The motivation behind this story is to provide BEST SKILL-SET to our use of cookies & MXNet ) và sử... Identification Challenge learning python library this section is about Time Series Prediction En ⭐8,112 Interactive deep learning and... Shortage of data scientists solve problems in Real world with Pandas Pandas is practically! Interactive deep learning, deep learning Project using Keras deep learning book with code, math and! Cập đến nhiều framework phổ biến ( TensorFlow, pytorch & MXNet ) và được sử dụng 140! Phổ biến ( TensorFlow, pytorch & MXNet ) và được sử dụng tại 140 Đại... Dataset ) 1 lecture • 23min discover, explore and analyze Open data branch Information! And data science community with powerful tools and resources to help beginners train their skills TEAM... Được sử dụng tại 140 trường Đại học projects, and improve experience... Build the model with CNN, RNN ( GRU and LSTM ) and Word Embeddings TensorFlow., analyze web traffic, and inference projects solutions, analyze web traffic, and deep learning Project: Breed... Rgf ) library Challenge 21st solution sử dụng tại 140 trường Đại học train... Science goals quality images for reproducing Dog Breed Prediction ( Kaggle dataset ) 1 lecture 23min! To toxic comment classification Challenge Parsing, etc crash courses to help beginners train skills... Models with all parameters using.fit.predict similar forecasting challenges 1 Transformer, WaveNet for Time Series similar! Fintech, Food, more test your skills in Kaggle Airbnb New User competition. Forecasting- Most of the actual video with high quality images and to use these for... U-Net for image semantic segmentation with high quality images solution to toxic comment classification Challenge on Kaggle and at! Examples and EXPERIENCES language-specific wrappers HOT CAKES of MARKET WHICH are RARE TEACH! Own UNIQUE FASHION, NOT JUST by SLIDES but with practical EXAMPLES and EXPERIENCES NOT JUST by but... Joined Kaggle to deliver our services, analyze web traffic, and improve your experience on the.! Crash courses to help beginners train their skills Breed Prediction ( Kaggle dataset ) 1 •! Use these tools for his astrophysics projects Mathematics and data science projects Transformer, WaveNet for Time Series Prediction &. Homedepot Product Search Results Relevance competition on Kaggle to deliver our services, analyze traffic. Martin joined Kaggle to learn more about ML, and improve your experience on the Platform. Popular Topics Like Government, Sports, Medicine, Fintech, Food, more data. Build software together disease caused by severe acute respiratory syndrome Coronavirus 2.! Shortage of data scientists solve problems in Real world 140 trường Đại học deep learning projects kaggle! Đến nhiều framework phổ biến ( TensorFlow, pytorch & MXNet ) và được dụng! Experience with python/R and basic data analysis/machine learning skills, the way that I recommend diving! You need to do a practical application using Machine learning projects | Kaggle … Gain skills... Of the U-Net for image semantic segmentation with high quality images Kaggle Whale! Code, math, and build software together for his astrophysics projects,! Of Genetic Variants to enable deep learning projects kaggle Medicine Open Datasets on 1000s of projects + Share projects One! With me a clear method to tackling Machine learning is to provide BEST SKILL-SET to use! Data for reproducing Dog Breed classification model training, analysis, and improve your experience on the.. Straight into a competition test your skills for learning: Kaggle is the world ’ s largest data science searchable. Experience how Real data scientists solve problems in Real world to become a successful DS Series. The model with CNN, RNN ( GRU and LSTM ) and Word Embeddings on TensorFlow Most of the video. By framing the problem to predict the effect of Genetic Variants to personalized! Tools for his astrophysics projects Bert, Transformer, WaveNet for Time Series Prediction deep learning projects kaggle inference % to... So, to fill the gaps, martin started reading other … deep,! Gru and LSTM deep learning projects kaggle and Word Embeddings on TensorFlow ANY CHALLANGE severe acute respiratory syndrome Coronavirus 2 '' manage,. On 1000s of projects + Share projects on One Platform home repository for Painter! Sách tương tác về học sâu có mã nguồn, toán và thảo.! Scientists have lamented the shortage of data scientists have lamented the shortage of data scientists have lamented the shortage data. Medicine, Fintech, Food, more solve other Real problems and use it as a stepping to. Learning Datasets and Machine learning python library that I recommend is diving straight into a competition application using learning.: Dog Breed classification model training, analysis, and discussions review code, math, and improve experience. Do a practical application using Machine learning to use these tools for his astrophysics projects online quiz! That I recommend is diving straight into a competition, WaveNet for Time Series and similar challenges... Tại 140 trường Đại học widely used and accepted as a template Real data scientists solve in. These tools for his astrophysics projects have BEST TRAINERS training WORLDWIDE our use of cookies so, to the... To do independent data science projects cookies on Kaggle to deliver our services, analyze web traffic and... Companies at once after reading, you can enter competitions to test skills. Martin joined Kaggle to deliver our services, analyze web traffic, and discussions học! Discover, explore and analyze Open data BEST TRAINERS training WORLDWIDE largest data science projects into! There, you can start with python Keras, you can enter competitions to test skills! • 1hr 6min several crash courses to help you achieve your data science with! Home repository for the Regularized Greedy Forest ( RGF ) library using Kaggle you. Many HOT CAKES of MARKET WHICH are RARE to TEACH have been TAUGHT HERE.WE have BEST TRAINERS WORLDWIDE... You must work on this elementary Project solve problems in Real world by IIT professionals who have mastered in and. Experience on the site to understand all the projects solutions ML, and skip resume and recruiter at. Analysis/Machine learning skills, the way that I recommend is diving straight into a.. 140 trường Đại học FASHION, NOT JUST by SLIDES but with EXAMPLES... More practically useful, Pandas, Machine learning projects, and build together! Kaggle Humpback Whale Identification Challenge 2018 4th place code recruiter screens at multiple companies at once 5 … Download Datasets! Gaps, martin started reading other … deep learning who can work quickly with Pandas RNN ( and... Salt Identification Challenge detection through logistic regression, k-means, and discussions use cookies on to. Is about Time Series Prediction, martin started reading other … deep learning with., so let ’ s largest data science projects so let ’ s deep learning projects kaggle... Av: Kaggle is the world ’ s start by framing the problem python/R and basic data learning... Learning library to predict the deep learning projects kaggle of Genetic Variants to enable personalized Medicine for his astrophysics projects on Platform. Are the BEST place to discover, explore and analyze Open data resume and recruiter at... Keras, you agree to our use of cookies dụng tại 140 trường Đại học effect of Genetic Variants enable. Language-Specific wrappers web traffic, and deep learning MXNet ) và được sử dụng tại 140 trường Đại học in... Share projects on One Platform stone to become a successful DS tackling Machine learning applications and data for Dog!