Round 1 | Round 2 |
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click me | this log |
This is part of Alexander Kallaway's 100DaysOfCode challenge. More details about the challenge can be found here: 100daysofcode.com.
Commitment: I will code daily for the next 100 days.
- Code daily (At least 1 hour a day)
- Complete as many coding challenges as possible
- Participated in Climathon 2022 and won a bronze medal
- [Completed: 9] Complete as many courses: Coursera, Udemy, Udacity, Scimba ...
- Participate in Global Hack week INIT
Progress:
- Watched the recordings of the SIC lectures (That I missed while I was busy at the Climathon 2022)
- Made some progress in IT for automation - Google scholarship
- Made some progress in AI programming with python - AWS scholarship
The End:
This round was amazing, full of interesting events. I learned a lot and made tons of connections with amazing people
Thoughts: I was too tired that day because of the Climathon 2022 so I tool it as a break
Project:
- Smart University - IoT Project
Event: Today is the closing ceremony where they are going to announce the winners of Climathon 2022
Thoughts: I am super happy as my team ranked the 3rd in the Climathon 2022 and I received a bronze medal, a certificate and a prize
Project:
- Smart University - IoT Project
Progress:
- Attended the judging discussion
Thoughts: it was quite stressful to present in front of professors and business experts but all went well
Project:
- Smart University - IoT Project
Progress:
- Made the rest of the IoT architecture on AWS cloud services
- My teammate and I made a presentation for the judging discussion
Project:
- Smart University - IoT Project
Progress:
- Made parts of the IoT architecture on AWS cloud services
- Started working on the prototype
Thoughts: Today, I met Mr. Fawad Gul - He is a Technical Program Manager at AWS - and he gave us some useful insights about AWS and IoT
Project:
- Smart University - IoT Project
Progress:
- Meet new people and made some awesome connections
- Learned more about the climate change and the problems that we are facing
Progress:
- Attended SIC lecture (Time Series Analysis)
Thoughts: I very excited as I am preparing for traveling to the dorms for the Climathon 2022
Project:
- Smart University - IoT Project
Progress:
- Attended a workshop for leadership skills by GDSC MUST
- Made more research in IoT and embedded systems to prepare for Climathon 2022
Progress:
- Attended SIC lecture (KMeans & DBSCAN)
- Attended Climathon AWS Advanced Technical Workshop - Day 1
- Attended Climathon AWS Advanced Technical Workshop - Day 2
- Made Improvements to the SIC - Web scraping task
Project:
- Smart University - IoT Project
Progress:
- Made some progress in IT for automation - Google scholarship
- Attended Climathon2022 2nd Stage Shortlisted Announcement Webinar
Event: Wow, I qualified for Climathon 2022 from the second filtration phase. I am very excited to compete at the finale
Filtration Results: My team name is MUSTIANS
Progress:
- Made improvements to the SIC - Web Scraping task
- Attended SIC lecture (Text Manipulation)
- Made some progress in AI programming with python - AWS scholarship
Project:
- Smart University - IoT Project
Progress:
- Wrote a Business plan for project submission for Climathon 2022 Clean Energy Theme
- Participated in Google Kick Start practice session
- Made some progress in "Learning how to learn" course
Project:
- Job Description Web Scraping - SIC
Progress:
- Participated in Global Hack Week by MLH
- Attended SIC lecture (Web Scraping)
Notebook Link:
Job Offers
Progress:
- Participated in Global Hack Week by MLH
- Made some progress in AI programming with python - AWS scholarship
- Made some progress in IT for automation - Google scholarship
Progress:
- Participated in Global Hack Week by MLH
- Made some progress in "Learning how to learn" course
Project:
- Network Intrusion Detection - SIC
Progress:
- Attended SIC lecture (Evaluation and Model Selection)
- Made some improvements to a notebook on kaggle
- Participated in Global Hack Week by MLH
- Made some progress in "Learning how to learn" course
Notebook Link:
99.6% Accuracy, Network Intrusion Detection
Progress:
- Participated in Global Hack Week by MLH
- Made some progress in "Learning how to learn" course
- Made some progress in AI programming with python - AWS scholarship
- Attended connect session - AWS scholarship
Project:
- Network Intrusion Detection - SIC
Progress:
- Attended SIC lecture (SVM & Naive-Base)
- Submitted a notebook to kaggle
- Participated in Global Hack Week by MLH
Notebook Link:
99.6% Accuracy, Network Intrusion Detection
Progress:
- Participated in Global Hack Week by MLH
- Made some progress in "Learning how to learn" course
- Made some progress in Unlocking Information Security I course on edx
- Practiced problem solving
Project:
- Predict Airline passenger satisfaction - SIC
Progress:
- Attended SIC lecture (Ensample models)
- Made improvements and added more models to a notebook on kaggle
- Participated in Global Hack Week by MLH
Notebook Link:
96.4% Accuracy, 12 Classification models, EDA
Progress:
- Made some progress in "Learning how to learn" course
- Made some progress in AI programming with python - AWS scholarship
- Made some progress in IT for automation - Google scholarship
Progress:
- Made some progress in Unlocking Information Security I course on edx
- Made some progress in AI programming with python - AWS scholarship
- Practiced problem solving
Project:
- Predict Airline passenger satisfaction - SIC
Progress:
- Attended SIC lecture (Decision Tree and random forest)
- Made improvements and added more models to a notebook on kaggle
Notebook Link:
96.4% Accuracy, 12 Classification models, EDA
Progress:
- Made some progress in IT for automation - Google scholarship
- Made some progress in Unlocking Information Security I course on edx
- Practiced problem solving
Project:
- Predict Airline passenger satisfaction - SIC
Progress:
- Attended SIC lecture (Logistic regression and KNN)
- Submitted a notebook to kaggle and got a bronze medal
Notebook Link:
96.4% Accuracy, 12 Classification models, EDA
Progress:
- Made some progress in AI programming with python - AWS scholarship
- Made some progress in IT for automation - Google scholarship
Project:
- Predicting california housing prices - SIC
Progress:
- Attended SIC lecture (Regression Evaluation)
- Made improvements to a netbook on kaggle
Notebook Link:
Linear Regression
Progress:
- Made some progress in IT for automation - Google scholarship
- Practiced problem solving
Project:
- Image classifier - AWS scholarship
Progress:
- Attended connect session - AWS scholarship
- Practiced problem solving
Project:
- Predicting california housing prices - SIC
Progress:
- Attended SIC lecture (Linear regression)
- Submitted a notebook to kaggle for the first time
Notebook Link:
Linear Regression
Progress:
- Participated in Google kick start coding practice
- Read some articles about machine learning
Progress:
- Attended SIC Lecture (Data Visualization)
- Attended Udacity connect session (Python for AI)
Progress:
- Attended SIC Lecture (Pandas and NumPy)
Thoughts: Today is the day, today I will be competing with the top 10% of all egypt in the ECPC (Egyptian Collegiate Programming Context)
I don't expect to achieve a lot since I am participating for the first time but I think it's a great opportunity
Progress:
- Made improvements to the github profile
- Practiced problem solving for ECPC
- Prepared for ECPC
Thoughts: 26 Aug, is the day before the competition. Very Excited
Progress:
- Attended SIC Lecture
- Practiced problem solving for ECPC
Progress:
- Practiced problem solving for ECPC
Progress:
- Attended SIC Lecture (Statistics & Probability)
- Practiced problem solving for ECPC
Progress:
- Practiced problem solving for ECPC (Solved ECPC 2016)
Progress:
- Attended SIC Lecture (Statistics & Probability)
- Practiced problem solving for ECPC
Project:
- MLH Prep Portfolio
- MLH Prep Project: Whether App
- Attended multiple SIC lectures
Progress:
- Made a lot of improvements to the project, resolved a lot of issues and opened a ton of PRs (check my github)
Thoughts: I had a lot of fun working with amazing fellows all over the world
Link to Work:
- MLH Fellowship Prep Project Website
- MLH Fellowship Prep Project Repo
- MLH Fellowship Prep Portfolio Website
- MLH Fellowship Prep Portfolio Repo
Project:
- MLH Prep Portfolio
Progress:
- Made a lot of improvements to the project, resolved a lot of issues and opened a ton of PRs (check my github)
Thoughts: I really like the MLH fellowship program, I like the idea of working in teams the most
Link to Work:
Project:
- MLH Prep Portfolio
Progress:
- Completed Course 4 (the final one) of Tensorflow For Developers specialization
- Attended the MLH fellowship prep program and started working on MLH Prep Portfolio
- Fixed a bug in MLH Prep Portfolio
Thoughts: The prep program is very useful and I really recommend it to anyone who wants to learn new technologies and make new connections
Project:
- Presentation Gallery
Progress:
- Update data in Presentation Gallery
- Completed course 3 of Tensorflow For Developers specialization
Progress:
- Completed week 1 and 2 in course 3 of Tensorflow For Developers specialization
- Practiced problem solving
Progress:
- Completed week 3 and 4 in course 3 of It for Automation
- Practiced Problem solving
Thoughts: I am excited to share that I got accepted in AWS AI programming using python scholarship and SIC IV-Artificial Intelligence Course
Progress:
- Completed week 2 in course 3 of it for Automation
Project:
- ReChain
Progress:
- Completed week 1 in course 3 of it for automation
- Made some Bug Fixes and improvements and added new features in The ReChain Project
Progress:
- Completed week 6 and 7 in course 2 of It for Automation
- Participated in Data Day Grind III Hackathon by MLH
Thoughts: Very Excited to submit the ReChain Project
Progress:
- Completed week 5 in course 2 of It for Automaton
Thoughts: I’m super excited to share that I have been accepted at the MLH Fellowship Prep program for summer 2022 by Major League Hacking!
Progress:
- Completed week 3 and 4 in course 2 of It for Automation
- Practiced problem solving
Progress:
- Made some progress in week 3 in course 2 of It for Automation
- Gave a session about CPP STLs
- Practiced problem solving
Progress:
- Completed week 1 and 2 in course 2 of It for Automation
- Practiced problem solving
Progress:
- Completed week 4 and 5 in course 1 of Data Analysis specialization
- Practiced problem solving
Progress:
- Completed week 5 and 6 in course 1 of It for Automation
Thoughts: very excited to finish this specialization
Progress:
- Completed week 3 and 4 in course 2 of TensorFlow for developers
- Practiced problem solving
Thoughts: 2 more courses to go (to finish the tensorflow specialization)
Progress:
- Completed week 2 in course 2 of TensorFlow for developers
- Completed week 2, 3, 4 in course 1 of It for Automation
- Completed week 2 in course 2 of Data Analysis
Thoughts: It's astonishing that I am able to finish the material of 6-weeks in a day (I guess I spent a lot of time in front of the computer)
Progress:
- Completed week 2 in course 1 of It for Automation
- Completed week 1 in course 2 of TensorFlow for developers
Progress:
- Installed manjaro on my main desktop
- completed course 1 in TensorFlow specialization on Coursera
- Enrolled in "It for Automation" on Coursera (part of the Google scholarship)
Thoughts: I really like manjaro and I am probably going to use it as a daily driver
Project:
- ReChain
Progress:
- Participated in Global Hack Week 2023: INIT
- Practiced problem solving and competitive programming
- Made some improvements, fixed some bugs and added some features in the ReChain project
Thoughts: It was a wonderful week. I learned a lot of cool technologies and had fun
Progress:
- Enrolled in TensorFlow Developer Certificate Program
- Made some Progress in Course 1: Intro to TF
- Got Accepted in Google Summer Scholarship
- Practiced problem solving
Thoughts:
- I am currently preparing to take the tensor flow exam
- I am also super excited for the Google Summer Scholarship
Progress:
- Practiced problem solving
- Completed Course 5 in deep learning specialization
Thoughts: I am happy to announce that I have completed the deep learning specialization successfully 🥳. It was a beautiful journey and I learned a lot about machine learning
Progress:
- Solved some competitive programming problems
Project:
- 100DaysOfCode Log Website
- Solved some competitive programming problems
Progress:
- Created 100DaysOfCode Log Website
Thoughts: There is still a lot of work and optimizations that needs to be done for the website to work properly
Link to Work:
100DaysOfCode