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Data-Science-Hackathon-And-Competition
Grandmaster in MachineHack (3rd Rank Best) | Top 70 in AnalyticsVidya & Zindi | Expert at Kaggle | Hack AIAction-Detection
Action-Net is a dataset containing images of 16 different human actions.KPMG-Virtual-Internship
Virtual InternshipPython-Project
APpsTableau-Workspace
https://public.tableau.com/profile/akash14Deep-Learning-Project
Deep learning WorkSpaceDeep-Learning-Specialization
deeplearning.ai CourseMachine-learning-Application-with-Flask
machine learning Algorithm and deploy with FlaskJPMorgan-Chase-Co-Internship
Software Engineering Virtual ExperienceApplied-Data-Science-with-Python-University-of-Michigan
Applied Data Science with Python University of MichiganGarden-Nerd-Flower-Recognition-Data-Science-Competition
Hackerearth Garden Nerd : Flower Recognition Data Science Competition | Rank 37Predicting-Food-Delivery-Time---Hackathon-by-IMS-Proschool
HackathonMachine-Learning-Internship
Machine Learning Internship | endorsed by AICTE and Intel PartnershipHackNITP-3.0-Winter-21-AI-Challenge
Machine-Learning-Project
ProjectAV-Game-Of-Deep-Learning
AV Game Of Deep Learning | Rank 140MachineHack_Data_News_category_Hackathon
News Category Predicition | Rank 49MLDS-2020-Machine-Hack
MLDS 2020 CodeBlitz & MLDS 2020 HackathonKaggle-Amazon-unlocked-mobile
Data miningIPL-data-analysis
Machine-Learning-Coursera-Assignment
AssignmentMaze-Runner
edx courseakash
My PortfolioInternational-Data-Analysis-Olympiad-2020
IDAO 2020Fifa-World-Best-XI-
movie-recommendation-content-based-
movie recommendationMicrosoft-Engineering-Undergraduate-Masters-Asia-Virtual-Experience-Program
Virtual Internship From MicrosoftOpenCV-Computer-Vision-with-Python
OpenCVPaint-Application
Paint appEmojify
EmojiAnalytics-Vidhya-Loan-Prediction
Loan finance datakaggle-Titanic-Machine-Learning-from-Disaster
kaggle Titanic DisasterHackererath_The-Great-Indian-Data-Scientist-Hiring-Challenge
Hackererath_The-Great-Indian-Data-Scientist-Hiring-Challenge | 96% accuracyClassify-the-Lunar-Rock-Hackerearth-Data-Science-Competition
deep learning contestDiabetes-Data-Set-UCI
Diabetes patient records were obtained from two sources: an automatic electronic recording device and paper records. The automatic device had an internal clock to timestamp events, whereas the paper records only provided "logical time" slots (breakfast, lunch, dinner, bedtime). For paper records, fixed times were assigned to breakfast (08:00), lunch (12:00), dinner (18:00), and bedtime (22:00). Thus paper records have fictitious uniform recording times whereas electronic records have more realistic time stamps.HackerEarth-Machine-Learning-challenge-Who-wins-the-Big-Game-
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