- D1: Completed Introduction L1
- D2: Completed L2 upto 10
- D3: Completed L2 up to 16.
- D4: L2 up to 25
- Cloud services for Machine Learning
- Overview of Azure ML Studio
- Differences between Model vs Algorithm
- Learned the basics of Linear Regression
- Linear Assumption
- Remove Noise
- Remove collinearity (correlated features)
- Gaussian distributions
- Rescale inputs
- Lab 1 of LinearRegression complete.
- Learned about RDP gateway First time in ML/DL, I experienced design studios like Android Studio and XCode, Kudos to the team of @Microsoft Azure to come up with such drag and drop concept that will help the non-coding background people 👍:clapping-inclusive::clapping-inclusive::clapping-inclusive: Attached: Android Studio's drag and drop design studio for reference. Also learned, how RDP gateway works in the browser. :face_with_monocle: Encouraging: @Aarthi Alagammai @Richa @Pooja Tope-Puranik @Veena @Viji @geax @Harshit Rai :yay::bhangra:
-
D5: L2 Complete
-
Created Youtube Statistics App
Description:-
The app gather the information from Youtube API. The information are stored into .csv files.
Pandas, Matplotlin and seaborn used to create plot from the availlable data.
Use:-
It provides the overall estimate or trend that tells how much people are actively learning on Udacity.
- D8: L3 10 to 16
- Learned the importance of feature engineering and feature selection and completed on lab on it
- Today's stats
- D9: L3 up to 20
- Learned Data drift and model training process
- Learned Taxonomy of Azure Machine Learning
- Attended group meeting of #sg_connecting_the_dots_with_ml on Social
- Attended last 10 minutes of group meeting of #sg_connecting_the_dots_with_ml on HealthCare
- Today's stats
- D10: L3 up to 25
- Created one process diagram for Semantic Analysis on text data
- Learned Model Evaluation techniques.
- Diffrentiate between Receiver Operating Characteristics (ROC) and Area Under the Curve (AUC)
- Today's stats
- D11: Just learned one lecture 3.26 because next chapter is important as that is the thing that we are going to so many times.
- Meeting with project mates for updates ![Kick start meeting](youtube_statistics/screenshots/Screenshot from 2020-07-23 20-28-58.png)
- Created one notebook for EDA
- Today's stats
- D12: L3 upto 30 (Ensemble Learning)
- Created new plots based on historical data collected through daily stats
- Total Counf of Views On Each Day (Not accurate as I am still on 3rd lesson)
- Historical Udacity Views Plot
- Today's stats
- D13: Completed the pending labs of L3
- EDA on environ email dataset for our semantic analysis project
GitHub : Email Semantic Analysis - Historical Udacity Views Plot
- Today's stats
- D18: Completed L4 up to 23
- Historical Udacity Views Plot (Grouped by lesson)
- Walked 2.5 km
- Today's stats
- D20: Completed L5 upto 3
- Company's friendship day meeting
- Historical Udacity Views Plot (Grouped by lesson) [Bug: Sorting by date]
- Today's stats
- Walked 3 km
- D21: Completed L5 upto 3
- HealthCare Project Meeting
- Historical Udacity Views Plot (Grouped by lesson) [Bug: Sorting by date]
- Today's stats
- Walked 3 km
-
D22: Completed L5 upto 6
-
Learned that groupby and pivot destroys the date sorting so for groupby we have to specify
sort=False and for pivot, we have to reindex the table by sorting the date columns
Fitness Day: 5
- D23: Consumed with company work and right now may be tired or not feeling well so not going through courses
- Historical Udacity Views Plot (Grouped by lesson) [Bug: Fixed]
- Today's stats
Fitness Day: 6
- D24: Completed L5 up to 10
- Some EDA on subject of the email Email Semantic Analysis
- Historical Udacity Views Plot (Grouped by lesson)
- Today's stats
Fitness Day: 7
- D25:
- Started NLP on email semantic analysis project of #sg_connecting_the_dots_with_ml
- Did some EDA on SIIM-ISIC Melanoma for skin cancer detection project of #sg_connecting_the_dots_with_ml
- Historical Udacity Views Plot (Grouped by lesson)
- Today's stats
Fitness Day: 8
- D26:
- Removed stop words in email dataset email semantic analysis project of #sg_connecting_the_dots_with_ml
- Starting the Forecasting Project for next 25 days udacity views
- Completed L5 upto 15
- Historical Udacity Views Plot (Grouped by lesson)
- Today's stats
Fitness Day: 9
- D27:
- Stemming and Lemmatization on email dataset email semantic analysis project of #sg_connecting_the_dots_with_ml
- Completed L5 upto 18
- Weekly Meet about How to improve more through WFH in upcoming months.
- Historical Udacity Views Plot (Grouped by lesson)
- Historical Udacity Progress Plot (Grouped by lesson)
- Today's stats
Fitness Day: 10
- D28:
- Completed L5 upto 18
- Doing some forecasting based on mean_absolute_percentage_error metric on Udacity Azure ML courses.
- Weekly Meet with Project mates of email semantic analysis and explained the past work and what we will going to do in future.
- Weekly Meet with Project mates of Skin Cancer Detection and explained the past work and what we will going to in future.
- Historical Udacity Views Plot (Grouped by lesson)
- Historical Udacity Progress Plot (Grouped by lesson)
- Today's stats
Fitness Day: 11
- D29:
Fitness Day: 12
- D30:
Fitness Day: 12
- D31:
Fitness Day: 13
- Took break due to heavy rain
- D32:
Fitness Day: 13
- D33:
Fitness Day: 14
- D34:
Fitness Day: 14
- D35:
Fitness Day: 15
- D36:
Fitness Day: 16
- NaN (Due to heavy rain)
- D37:
Fitness Day: 17
- D38:
Fitness Day: 18
- D39:
Fitness Day: 19
- NaN
- D40:
- Working on the automation script to make sure each lesson checked and nothing left
- Creating last lesson views graph animation to keep track of the completion rate.
Fitness Day: 19
Fitness Day: 20
- NaN
Fitness Day: 20
- D43:
Fitness Day: 20
- Going for cycling :D. I will update this soon
- D44:
- D45:
- Completed the K-means clustering algo on enron dataset. Read: https://www.kaggle.com/kmknation/training-the-k-means-clustering?scriptVersionId=41432304
Fitness Day: 21
- D46:
- Read adaptive learning docs
Fitness Day: 22
- D46:
- Read adaptive learning docs
Fitness Day: 22
- D47:
- I had project presentation meeting with @Kum Somi
- Working on one scraping project to identify the 300
- Creating one technical architecture to create chatbot on udacity coursework
Fitness Day: 22
- 1.33 km walking
- D48:
- D49:
- Participated in studyjam 2.0
- D50:
- Evaluation the #50daysofudacity challenge
- 1478 people have taken this challenge