🏆 Routine: one step towards

⏲️ Python Algorithms MIT OpenCourseWare   Records_collab 💋 Rutisheet

 

                                          Python Classes 

⚛️ DFT Calculation: Always Runs

• 🧮 Run 5 calculations in Myriad.
• 🔬 Run 5 calculations in Kathleen.

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📚 Study AI For Research R

• 📝 Recall Jupyter notebooks lab and think about how to teach or use them in your research (15 min only).
• 📖 Read at least one blog related to AI each day.
• 📊  Virgilio : A Well documented site for AI-ML-DL
• 📖  Kaggle ML notebook  related to AI each day. (Selected)
• 🏆Kaggle Winners Notebooks: Must do!

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📊 Phase Diagram Calculations Using Machine Learning Paper 

 

• 🧠 Read at least one paper using Machine/Deep Learning.   Tutorial DeepMd

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• 💻 Practice coding every day. jupyter_practise?  W3School   More Vergilio Suggestions
• Pynative  -->  W3Resource  --> Edabit  --> Dataquest
• Start Practicing in Collab Now

🄸🄱🄼  IBM Practical SQL 

                  ✍️ 1. SQL: A Practical Introduction for Querying Databases;   Mar 19

                             My Notebook 

                💻 Practice coding every day.         Practise SQL     SQLBOLT  

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🐍DeepLearning.AI Data Analytics Professional Certificate 

               ✍️ 1.Data Analytics Foundations  My Notebook     Silde1 Apr 10

                ✍️ 2. Applied Statistics for Data Analytics:  My Notebook Slides Apr 19

                ✍️ 3. Python for Data Analytics My Notebook   Slides Apr 22

                ✍️ 4. Data I/O and Preprocessing with Python and SQL  Notebook Slide

               ✍️ 5. Data Storytelling (not launched yet*)

 🏆Generative AI Engineering with LLMs Specialization

         ✍️ 1. Generative AI and LLMs: Architecture and Data Preparation || Notebook Slides Jul 8

         ✍️ 2. Gen AI Foundational Models for NLP & Language Understanding || Notebook Slides Jul 9

         ✍️ 3. Generative AI Language Modeling with Transformers || Notebook Slides Jul 9

 🏆  Coding Interview: Preparation

                ✍️ 1. Meta Cod In   Notebook  +  NeedLense

                ✍️ 2. DSA Python Runstone   

                       2. Leetcode 

         ✍️ 1*. Data Structures with Python <packt>      Notebook

          ✍️ 2*Data Structures and Algorithms: The Masterclass <packt>              

💻 Learn Fortran: Develop Code

• 🖥️ Embed existing code on Gnote.
• 🎥 Update code using lecture videos.

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🌊 LAMMPs Tutorial: An Ocean of Simulation

• 🔍 Conduct web searches for manuals and Jupyter notebooks.

       1. J-notebook_Mark 2. 

• 🎬 Watch tutorial videos.

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📝 Start Writing Thesis

• ✍️ Begin writing the introduction.
• 📑 Collect computational details from papers in Gnote using LLM.

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📰 Start Drafting Paper

• 🖋️ Initiate a draft for the next paper using Gnote.

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🏆 Best Presentation Award: Make Video on ML and LAMMPS

• 📝 Prepare the script (Day 1).
• 🎥 Record the video (Day 2).
• ✂️ Edit and upload the video (Day 3).
• 🎬 Create two videos per week, with a short clip video on Saturday.

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