Today's Progress: Started 100 Days of Code, Completed Kaggle's Pandas Micro-Course
Thoughts: Cleared up all my basics! 🔥; Ready to rock with DataFrames in Pandas
Link to work: Kaggle Pandas Micro-Course
Today's Progress: 4Hrs+ practice with Pandas & Multiple Data Sets (Coursera)
Thoughts: Improved practical data manipulation skills
Link to work: Kaggle Pandas Micro-Course
Today's Progress: 4Hrs+ practice with Pandas & Multiple Data Sets (Coursera)
Thoughts: Improved practical data manipulation skills
Link to work: Kaggle Pandas Micro-Course
Today's Progress: Sick and bed ridden all day 🥲, Did some Data Analytics Assignments on Coursera.
Thoughts: Working harder tomorrow 💯 almost done with 1/6 courses from my Coursera Spcialization!
Link to work: N/A
Today's Progress: Learned about Data Visualization in Python with Seaborn!
Thoughts: Can't wait to apply it and create cool visualizations.
Link to work: https://www.kaggle.com/learn/data-visualization
Today's Progress: Solved Stats for DS over at IIT Madras Online Degree Programme, Studied Data Visualization with #Seaborn on Kaggle.
Thoughts: Making good progress :)
Link to work: N/A
Today's Progress: Completed Coursera Applied Data Data Science Specialization Course1, Read "Tools for Thinking about Design by Alberto Cairo"
Thoughts: Opening up my view with new and fresh topics!
Link to work: N/A
Today's Progress: Learned a lot more about the fundamentals and best practices of Data Visualization, and graphical Heuristics.
Thoughts: Some of these insights are mindblowing!
Link to work: N/A
Today's Progress: Attended IEEE CLAP 2021, learned advanced regex concepts + practice.
Thoughts: Exceptional day of learning. Looking forward to more IEEE events.
Link to work: https://yp.ieeer10.org/clap/ & https://regex101.com/
Today's Progress: Attended IEEE CLAP 2021 Day2, Read "Graphics Lies, Misleading Visual" by Alberto Cairo.
Thoughts: Learned about Visualization Malpractices, Discussed Career after academia w/ Industry, Startup, and Academic experts!
Link to work: https://yp.ieeer10.org/clap/ & https://faculty.ucmerced.edu/jvevea/classes/Spark/readings/Cairo2015_Chapter_GraphicsLiesMisleadingVisuals.pdf
Today's Progress: Learned about fundamentals of Matplotlib.
Thoughts: Matplotlib's backend is more complicated than I thought lol.
Link to work: N/A
Today's Progress: Learned about #Matplotlib & #Python DataClasses with @ArjanCodes
Thoughts: Getting hang of Matplotlib Plots; learning advanced python OOP concepts.
Link to work: https://www.youtube.com/watch?v=eiDyK_ofPPM&list=PLC0nd42SBTaNuP4iB4L6SJlMaHE71FG6N
Today's Progress: Did some Data Cleanup practice on Kaggle + revisited C++ Theory for DSA prep.
Thoughts: Trying to Strengthen OOP along with DS
Link to work: N/A
Today's Progress: Learned more C++ Theory, and about Operating Systems.
Thoughts: Trying to Strengthen OOP along with DS
Link to work: N/A
Today's Progress: Learned more about Advanced Matplotlib Artists, and Scripting
Thoughts: Maintaining a good Data-Ink Ratio in Visualizations in Key
Link to work: N/A
Today's Progress: Did a few Kaggle Data Cleanup Exercises
Thoughts: Kaggle 🙏
Link to work: https://www.kaggle.com/learn/data-cleaning
Today's Progress: Solved more problems on Data Cleaning, Scaling, and Normalization. Learned tips about rlanguage , pythonprogramming & Pandas.
Thoughts: Applying training from CLAP 2021 in my academia & career.
Link to work: https://www.kaggle.com/learn/data-cleaning
Today's Progress: Reading + Problem Solving - Coursera & IITM online degree program.
Thoughts: ...
Link to work: N/A
Today's Progress: Kaggle/Coursera Pandas Practice + Did analysis with a dataset of my Music Streams!
Thoughts: Thoughts: Reading #json into #Pandas is painful.
Link to work: https://www.last.fm/user/snaekboi
Today's Progress: Practiced #Statistics with Python & Practiced DSA in C++ & Read about #ArtificialIntelligence Theory
Thoughts: Very Productive Day :)
Link to work: Reading https://g.co/kgs/zR7Fbj
Today's Progress: Practiced Plotting w/ Weather Data, Practiced #DSA / C++, Almost done w/ DataCleaning MicroCourse on #kaggle
Thoughts: DSA is interesting AF
Link to work: https://www.kaggle.com/learn/data-cleaning
Today's Progress: Completed Kaggle #DataCleaning Microcourse! + #DSA / C++ Practice + Attended Day1 of IEEE Workshop for #ArtificialIntelligence Techniques, Learned more about #Matlab.
Thoughts: Feeling extra productive!
Link to work: https://www.kaggle.com/learn/certification/prathameshghatole/data-cleaning
Today's Progress: Started SQL Micro-Course, attended Workshop on Pandas, Numpy, SciKit, etc + Hands on Project on Leaf Disease detection w/ ML! Learned about Animation and Interactive plots w/ Matplotlib
Thoughts: GG
Link to work: N/A
Today's Progress: SQL + Matplotlib + Reading + Seminars
Thoughts: Quite a laidback schedule for today
Link to work: N/A
Today's Progress: Learned Searching/Sorting Algorithms. Learned Algos like BFS in detail
Thoughts: Developing Logic
Link to work: N/A
Today's Progress: Committing to an 8-month Data Structure & Algorithms Specialization Course at Coursera, Learned visualization in Pandas & Seaborn, tried lost in a hackathon lol.
Thoughts: Getting to the Science of CS
Link to work: N/A
Today's Progress: Learned more about Seaborn, Spurious Correlations, Solved stats w/ Python, Solved DSA in C++
Thoughts: RIP free time
Link to work: N/A
Today's Progress: Started a little project (Web scraping + Data Cleaning/Manipulation + Data Visualization), Learned web-scraping w/ Pandas, Learned Stress-testing & debugging in C++
Thoughts: Project 👀
Link to work: N/A
Today's Progress: Practicing Data Mining + Data Cleaning + visualization w/ Matplotlib + Seaborn. Reading More on Web Scraping&Cleaning.
Thoughts: Preparing for offline exams 😑
Link to work: N/A
Today's Progress: SQL + Stats + Copmutational thinking practice questions.
Thoughts: Reducing work due to exams. Can't break the stride though :)
Link to work: N/A
Today's Progress: Dove deeper into C++ STL Library, and finessed on stuff like vectors. Fried my brain with 4+hrs of Stats & DSA.
Thoughts: <bits/stdc++.h> makes life way easier in C++
Link to work: N/A
Today's Progress: Learned Debugging, more DSA, new stats concepts, and some graphic design :)
Thoughts: loving C++ so far
Link to work: N/A
Today's Progress: Practiced Algos in C++ and Python, completed my first major DS project; ranging from data scraping to cleaning to analysis to visualization :)
Thoughts: Still managed to waste half of the day.
Link to work: N/A
Today's Progress: Completed course 2/5 from my Applied Data Science Specialization, Did some DSA, more DSA, and a lot of technical club work.
Thoughts: :)
Link to work: N/A
Today's Progress: Learned fundamentals of Machine Learning, Intro to Scikit Learn + Learned More Algorithms for Fibonacci Sequence + Learned P&C (Stats)
Thoughts: Gotta waste less time on clubs now 🥲
Link to work: N/A
Today's Progress: Machine Learning Basics & Methods + Broke my brain trying to solve Computational Thinking Problems on the IITM + Algos
Thoughts: IDK how tf they make hard problems out of easy topics every time 💀
Link to work: N/A
Today's Progress: Learned more Advanced Algorithms on Fibonacci Numbers + LOT of Graphic Designing
Thoughts: Big club plans coming up next week
Link to work: N/A
Today's Progress: Learned methods to calculate program runtime, More Studying over at IITM ODP
Thoughts: Pretty chill weekend
Link to work: N/A
Today's Progress: Learning Asymptotic Notation (Big-O Notation), Some Mathematics Practice, Writing Algos for GCD & Fibonacci Numbers
Thoughts: This DSA Course is more advanced than expected!
Link to work: https://www.coursera.org/specializations/data-structures-algorithms
Today's Progress: Algorithm Optimization Problems, Problems on Big-O Notation & Growth Rate, P&C, Reading on Commercial ML
Thoughts: Doing 2 Specialization Courses + 2 Degree Programs at once is surprisingly easy.
Link to work: N/A
Today's Progress: Computational Thinking + Statistics Practice, Algorithm Enhancement Practice, C++ Practice
Thoughts: Almost the same as yesterday
Link to work: N/A
Today's Progress: Grasping Basic Machine Learning Concepts from 2 sources:
- Applied Machine Learning (University of Michigan)
- Machine Learning (Stanford)
Thoughts: I'll try to provide my reviews at the end.
Link to work: https://www.coursera.org/learn/python-machine-learning & https://www.coursera.org/learn/machine-learning
Today's Progress: Learned about K-Nearest Neighbour Classification, solved problems regarding the same.
Thoughts: Learned a lot of practical stuff
Link to work: N/A
Today's Progress: More ML, Theory on OS, Software Engineering, DMGT.
Thoughts: Preparing for exams
Link to work: N/A
Today's Progress: Ran my first ML project with KNN :), Practiced DSA.
Thoughts: Satisfying.
Link to work: N/A
Today's Progress: Learning AI Knowledge Representation. (w/ Deepak Khemani on NPTEL :))
Thoughts: NPTEL is pretty damn amazing!
Link to work: https://nptel.ac.in/courses/106/106/106106140/
Today's Progress: Learned more about BFS, Turing's test, AI Heuristics, etc
Thoughts: Took all day in exam preparation
Link to work: N/A
Today's Progress: Learned more about Software Engineering and Project Management. Learned more about Operating System theory, and a lot more.
Thoughts: Moving to College soon :)
Link to work: N/A
Today's Progress: A detailed view of k-NN Classifier & Linear Regression in Scikitlearn, Overfitting, Supervised Learning, Probability, Greedy Algorithms, Grouping Algorithms
Thoughts: Lots of stuff today👀
Link to work: N/A
🗓 DAY 49 of 100: October 39, 2021
✔ Progress: Started my first major project!
- A Python app to directly write a 100daysofcode post for twitter, GitHub, and Encode & copy it to clipboard!
- Implemented Stacks w/ Arrays/LinkedLists
🧠 Thoughts: 👀
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 50 of 100: October 30, 2021
✔ Progress: Revising Stats + DSA concepts for tomorrow's exams.
🧠 Thoughts: The offline exams that IITM conducts for their online degree program students are just EXCELLENT. Passing itself is an experience🔥
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 51 of 100: October 31, 2021
✔ Progress: Permutations and Combinations Practice, List Algorithms in Python, Worked on Communication Skills
🧠 Thoughts: Woke up at 2:00AM when I realised I forgot to post today's update.😭
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 52 of 100: November 1, 2021
✔ Progress: Learned about Ridge, Lasso, and Polynomial Regression, and importance of Normalization/Scaling
🧠 Thoughts: Loved the following session by Mr. @sudarshaniisc 🔥
🔗 Link: https://www.youtube.com/watch?v=tp31bsrOlKI
#100DaysOfCode 🗓 DAY 53 of 100: November 02, 2021
✔ Progress: Learned about Lasso Regression, Polynomial Regression, Logistic Regression, & Support vector machines. Explored d3.js for Visualization w/ Python.
🧠 Thoughts: Free resource 👀
🔗 Link: https://paperswithcode.com/datasets
#100DaysOfCode 🗓 DAY 54 of 100: November 03, 2021
✔ Progress: Learned more about Support Vector Machines, lazypredict, Flutter/React, & Java.
🧠 Thoughts: Happy Diwali!
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 55 of 100: November 04, 2021
✔ Progress: Virtual Environments in Python, URL Encoding, Learned about Libraries like Colorama, pyperclip, rich, etc.
🧠 Thoughts: Built a Script for automating my daily tweets :)
🔗 Link: Soon.
#100DaysOfCode 🗓 DAY 56 of 100: November 05, 2021
✔ Progress: Learned about Graphs, Docker, Kotlin, Electronjs, etc.
🧠 Thoughts: Found Great intros on the following channel! (@fireship_dev )
🔗 Link: https://www.youtube.com/channel/UCsBjURrPoezykLs9EqgamOA
#100DaysOfCode 🗓 DAY 57 of 100: November 06, 2021
✔ Progress: More on Graphs, Matrix Algorithms, etc
🧠 Thoughts: Deadlines lately have been maddening ⌚
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 58 of 100: November 07, 2021
✔ Progress: Learned about Multi-Class Classification, Kernelized Support Vector Machines, etc.
🧠 Thoughts: Also trying to pickup extra curriculars like communication skills. 🗣
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 59 of 100: November 08, 2021
✔ Progress: Tried out Beautiful Soup, Learned about RESTful APIs, more on EDA.
🧠 Thoughts: Still facing issues w/ parsing JSON in Pandas 😑
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 60 of 100: November 09, 2021
✔ Progress: Went deep into the AI in music and Audio Rabbit Hole 🔥
🧠 Thoughts: linking a really helpful resource below. c.c. @musikalkemist
🔗 Link: https://www.youtube.com/playlist?list=PL-wATfeyAMNrtbkCNsLcpoAyBBRJZVlnf
#100DaysOfCode 🗓 DAY 61 of 100: November 10, 2021
✔ Progress: Learned about different tech stacks for web dev.
🧠 Thoughts: Found this legendary video
🔗 Link: https://www.youtube.com/watch?v=wx_iuO-dI5w
#100DaysOfCode 🗓 DAY 62 of 100: November 11, 2021
✔ Progress: Learned about ML Decision Trees, Worked on 100DaysOfCode-Writer.
🧠 Thoughts: Learned a ton about programming in python
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 63 of 100: November 12, 2021
✔ Progress: Learned VScode tricks for workflow, More on Probability Statistics, DFS Algorithms.
🧠 Thoughts: I'll miss work (study) from home 💀
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 64-69 of 100: November 18, 2021 Curfew Edition
✔ Progress: Made my first end-to-end DS project! Cleaned a really messy JSON file with all my music streams, analyzed my data. AND did all that WITHOUT Google!
🧠 Thoughts: 6 day Internet ban💀
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 70 of 100: November 19, 2021
✔ Progress: Learned and applied Linkedlists, Basic DSA stuff.
🧠 Thoughts: Finally learning the ways of college and hostel :)
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 71 of 100: November 21, 2021
✔ Progress: Participating in the upcoming IITKGP Data Science Hackathon!
🧠 Thoughts: Hopefully I'll get somewhere this time lol.
#100DaysOfCode 🗓 DAY 72 of 100: November 21, 2021
✔ Progress: Learned about Graphs, Matrices, and their algorithms.
🧠 Thoughts: Thoroughly enjoyed the weekend as well :)
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 73 of 100: November 22, 2021
✔ Progress: Learned about Priority Queues, Practiced Data Cleaning for Hackathon, Python basics.
🧠 Thoughts: Offline College has a lot of overhead time that gets wasted.
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 74 of 100: November 23, 2021
✔ Progress: Checked out the MetaBrainz OSS Repos (MusicBrainz, ListenBrainz, AcousticBrainz, & Picard)
🧠 Thoughts: @MetaBrainz has to be one of my favorite companies in the audio AI realm 🔥
🔗 Link: https://github.com/metabrainz
#100DaysOfCode 🗓 DAY 75 of 100: November 25, 2021
✔ Progress: Found some dudes on omegle and talked about software development 🙌
🧠 Thoughts: Took a different apporach to entertainment :))
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 76 of 100: November 26, 2021
✔ Progress: Polished pandas skills, learned about IRC communication, learning about google BigQuery
🧠 Thoughts: N/A
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 77 of 100: November 27, 2021
✔ Progress: Did some workshops on startups, rickrolled our hackathon jury with @biswasrahul16
🧠 Thoughts: I hope I don't get disqualified before I get the certificate 😂
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 78 of 100: November 28, 2021
✔ Progress: Completed a BigQuery Guided Project. Explored: GSoC, IRC communications for OpenSource, Docker.
🧠 Thoughts: Pretty chill Sunday :)
🔗 Link: coursera.org/verify/HXK4YXHGXJTT
#100DaysOfCode 🗓 DAY 79 of 100: November 29, 2021
✔ Progress: Tried out OpenSUSE with WSL2, Testing Docker, more on Dequeues
🧠 Thoughts: Exams coming up 🥶
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 80 of 100: November 30, 2021
✔ Progress: Revised Machine Learning Concepts like overfitting, underfitting, & how KNN
🧠 Thoughts: Wasted a lot of time today 😑
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 81 of 100: December 01, 2021
✔ Progress: Learned about continuous random variables, studying DSA in depth.
🧠 Thoughts: I hope I don't fk up my first offline exam 💀
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 82 of 100: December 02, 2021
✔ Progress: Revised Stacks & Queues, using the last.fm API for a major project.
🧠 Thoughts: API rate limiting is frustrating 😑
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 83 of 100: December 03, 2021
✔ Progress: Learned about Random Number Generation, ADTs, Attended the @IFSCA_Official Infinity Forum event.
🧠 Thoughts: I love CS, but hate studying for exams 😑
🔗 Link: https://twitter.com/IFSCA_Official
#100DaysOfCode 🗓 DAY 84 of 100: December 04, 2021
✔ Progress: Implemented DSA concepts in C++, learned about Graph Theory.
🧠 Thoughts: exam's in 2 days 😑
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 85 of 100: December 05, 2021
✔ Progress: Learned more about the youtube API.
🧠 Thoughts: Been sick all day 😷
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 86 of 100: December 06, 2021
✔ Progress: Revisiting Applied Machine Learning Concepts.
🧠 Thoughts: This ML course is low key tough :|
🔗 Link: https://www.coursera.org/learn/python-machine-learning
#100DaysOfCode 🗓 DAY 87 of 100: December 07, 2021
✔ Progress: Revisiting Statistics Fundamentals, explored C#
🧠 Thoughts: Reading "Practical Statistics for Data Scientists" (O'Reilly)
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 88 of 100: December 08, 2021
✔ Progress: Developing an open source program in python, Learning how to use Rich for Python.
🧠 Thoughts: Rich is excellent for making CLI UIs in Python 🔥
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 89 of 100: December 09, 2021
✔ Progress: Explored Web 3.0, More Statistics
🧠 Thoughts: N/A
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 90 of 100: December 10, 2021
✔ Progress: Attended a seminar on "Computer Vision, Past Present and Future", DSA
🧠 Thoughts: ON DAY 90 ALREADY!!! 😱
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 91 of 100: December 11, 2021
✔ Progress: Revising Probability for Data Science
🧠 Thoughts: 4.5Hr Offline exam on Sunday 😭
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 92 of 100: December 12, 2021
✔ Progress: Learned about Graphs, Probability, etc
🧠 Thoughts: 8 Days to go. (!!!)
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 93 of 100: December 13, 2021
✔ Progress: Hosted a Major event at @SAAI_GHRCEM , used the event data to practice DS using Pandas, Seaborn, and Matplotlib :)
🧠 Thoughts: Today's event was FANTASTIC. will share updates and good news soon!
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 94 of 100: December 14, 2021
✔ Progress: Learning DMGT, Attended "StateOfTheArt()" by @abacusai with @ericschmidt
🧠 Thoughts: "If I were in my 20s RN, I'd study Biology / Large Language Models / Web 3.0" - Eric Schmidt, exCEO GOOGLE
🔗 Link: abacus.ai
#100DaysOfCode
🗓 DAY 95 of 100: December 15, 2021
✔ Progress: Studied Computer Architecture, Binary tree, DSA
🧠 Thoughts: 5 days to go 😱😱
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 96 of 100: December 16, 2021
✔ Progress: Learned about various Artificial Intelligence Search Algorithms like AO*, SSS*, IDA*, Hillclimbing algo.
🧠 Thoughts: Day 96? ɘɔin
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 97 of 100: December 17, 2021
✔ Progress: Started with Amazon DeepRacer for Students, Going back to ML basics
🧠 Thoughts: Hoping to get the NanoDegree Scholarship @udacity :)
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 98 of 100: December 18, 2021
✔ Progress: Watching more stuff on AWS DeepRacer, More on Binary Trees.
🧠 Thoughts: It's weekend, and I am playing catchup with life.
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 99 of 100: December 19, 2021
Note: What content would you like to see on Day 100? 🔥
✔ Progress: Attended a GitHub demo event (and won a prize!), Explored Binary Tree Algorithms, Trying out @JuliaLanguage
🧠 Thoughts: Day 99!! Lets gooo🤯
🔗 Link: N/A
#100DaysOfCode 🗓 DAY 100 of 100: December 20, 2021
✔ Progress: explored Markdown, git in depth. Complete a Regex Guided Project on Coursera.
🧠 Thoughts: Look mom I did it! 😭 (Will make a blog post sharing my experience!)
🔗 Link: N/A