๐ช๐๐๐๐๐๐ ๐ฐ ๐พ๐๐๐๐ ๐ป๐๐๐ ๐๐ ๐ณ๐๐๐๐ ๐ซ๐๐๐ ๐บ๐๐๐๐๐๐ (๐ฐ๐ ๐ฐ ๐ฏ๐๐ ๐๐ ๐บ๐๐๐๐ ๐ถ๐๐๐). โ๏ธ
๐When I first started learning data science, I had a little problem. I didnโt know where to start. There were a lot of free resources out there, but the path to take wasnโt so obvious.
๐As a beginner, I didnโt know why I shouldnโt start with machine learning right away or dive into a comprehensive (but advanced) data science program at the very beginning.
๐Now, I can say that you can make great progress in your journey if you take the right courses at the right time.
๐๐ซ๐๐๐ญ ๐๐จ๐ฎ๐ซ๐ฌ๐๐ฌ ๐๐จ๐ซ ๐๐๐ ๐ข๐ง๐ง๐๐ซ๐ฌ. ๐
1. Data Science Specialization Course
โขโขโขLink: https: https://lnkd.in/dnWjaV2H
2. Data Science: Machine Learning
โขโขโขLink: https://lnkd.in/dRBSwsxy
3. Intro to Machine Learning with PyTorch
โขโขโขLink: https://lnkd.in/d85RFu9N
4. Introduction to Machine Learning Course
โขโขโขLink: https://lnkd.in/dRr6Q6M4
๐๐จ๐ฎ๐ซ๐ฌ๐๐ฌ ๐ญ๐จ ๐๐๐ค๐ ๐๐จ๐ฎ๐ซ ๐๐๐ญ๐ ๐๐๐ข๐๐ง๐๐ ๐๐ค๐ข๐ฅ๐ฅ๐ฌ ๐ญ๐จ ๐๐ก๐ ๐๐๐ฑ๐ญ ๐๐๐ฏ๐๐ฅ
๐Here are the 5 Standford University free courses Iโd take.
1. Stanford CS229: Machine Learning Course
โขโขโขLink:ย https://t.co/xqro4Bm8Lt
2. Stanford CS221: Artificial Intelligence: Principles and Techniques
โขโขโขLink:ย https://t.co/oyRzdnIREt
3. Stanford EE104: Introduction to Machine Learning Full Course
โขโขโขLink:ย https://t.co/wj5RtHBRQH
4. Stanford CS224N: Natural Language Processing with Deep Learning
โขโขโขLink:ย https://lnkd.in/dfuk8wv7
5. Stanford CS224U: Natural Language Understanding.
โขโขโขLink:ย https://t.co/UJVaiXdU4r
๐ต๐๐๐๐ ๐๐๐๐ ๐๐๐๐๐๐๐๐ ๐
๐The beauty of the data science journey is that it never ends. You will need to keep learning to stay on top of new packages and advancements in the field.
Happy Learning !! ๐