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Head over to our newest blog! For valuable tips, tricks, and life-saving advice! Let's join forces in creating safer roads for all riders. 🏍️
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🌊 Exciting News for Greenland Navigators! 🌊 Just in time for the Arctic summer season, we've integrated DMI Ice Charts into IcySea. 🔍 Enhanced Comparison: Easily compare DMI ice charts with near-real-time satellite imagery for comprehensive insights. 🔄 Toggle Functionality: Seamlessly switch between US Ice Center and DMI ice charts for versatile navigation planning. 🖱️ Interactive Features: Click on chart polygons to access detailed Egg codes instantly 🚦 Risk Assessment: Benefit from the POLARIS risk index assessment, providing a user-friendly traffic light system for informed decision-making. Don't forget to enter your vessel's ice class under "Settings" for optimized results. Discover the new feature today: https://icysea.app
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Data Analyst || SQL || Power BI || Advanced Excel || Python || Machine Learning || Artificial Intelligence || Ex-Amazon
𝟐𝐧𝐝 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 𝐨𝐟 𝐭𝐡𝐞 #𝟑𝟎𝐃𝐚𝐲𝐬𝐒𝐐𝐋𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞: 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞: Create a query to find all possible hut triplets for the ski slope construction, ensuring a thrilling descent for skiers! 𝐒𝐜𝐫𝐢𝐩𝐭: create table mountain_huts ( id integer not null, name varchar(40) not null, altitude integer not null, unique(name), unique(id) ); create table trails ( hut1 integer not null, hut2 integer not null ); insert into mountain_huts values (1, 'Dakonat', 1900); insert into mountain_huts values (2, 'Natisa', 2100); insert into mountain_huts values (3, 'Gajantut', 1600); insert into mountain_huts values (4, 'Rifat', 782); insert into mountain_huts values (5, 'Tupur', 1370); insert into trails values (1, 3); insert into trails values (3, 2); insert into trails values (3, 5); insert into trails values (4, 5); insert into trails values (1, 5); A big shoutout to Thoufiq Mohammed for this innovative challenge. It's a great way to sharpen your SQL skills and think outside the box. I'll be sharing my 𝒔𝒐𝒍𝒖𝒕𝒊𝒐𝒏 𝒊𝒏 𝒕𝒉𝒆 𝒄𝒐𝒎𝒎𝒆𝒏𝒕𝒔 𝒔𝒆𝒄𝒕𝒊𝒐𝒏. I encourage everyone to give it a try and share your solutions too! Let's learn and grow together in this #30DaysSQLChallenge. 🔄 Stay tuned for more challenges and keep pushing your limits!
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The largest map I have ever seen: https://lnkd.in/gp9dzX5D
The largest map I’ve ever seen
https://www.youtube.com/
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I'm in the middle of this trip and I know this road map isn’t correct. First of all, there is no obligation to learn both of these programming languages (python and R), so this sequence (first python and then R) isn’t true. At the beginning, it’s better to focus on one programming language. According to the background knowledge, it takes different time lengths to learn statistics or ML. With my mathematical background knowledge, it will take me a few days to review statistics and over three months to learn ML! So, the ratio of the number of days that you should spend on learning every subject doesn’t be the same, and I think this learning plan isn’t valid. finally, one of the skills that every data scientist must have, is story telling. In my opinion, this picture doesn’t tell a beautiful and acceptable story.
Follow this simple 50 days road map! 📊📈
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interesting read
Enjoy! Happy 4th! https://lnkd.in/enn7VtF5
Surveyors - Key to our independence — Berntsen International
berntseninternational.com
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The most courageous and bravest thing you can do, is get the help and support you need, true heart. Find the support available to you. With System Navigation Information Specialist discovering services near you… 24/7…365
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