pratham

ai/ml | data science | web dev | leveling up

[pratham @prathamiscoding]

Day 51 - Becoming an AI/ML Engineering
-solved one leetcode problem
- simple linear regression part 2
- intuition, how to find m and b?, coding from scratch
- 9 to 5 college

[pratham @prathamiscoding]

Day 52 - Becoming an AI/ML Engineer
- 9 to 5 college
- learned regression metrics
- mean absolute error, mean squared error , root mean squared error , r2 score and adjusted r2 score
- solved one leetcode problem

[pratham @prathamiscoding]

Day 50 - Becoming an AI/ML Engineer
- 9 to 5 college
- learned simple linear regression | code + intuition
- introduction of simple linear regression, intuition and applied on a real world dataset
- solved one leetcode problem

[pratham @prathamiscoding]

Day 49 - Becoming an AI/ML Engineer
- PCA (part3)
- did practical implementation on mnist dataset
- visualisation of mnist dataset in 2d and 3d
- learned what is variance
- learned how to find optimum number or principle components
- solved one leetcode problem

[• @WordsCocoon]

relax

[pratham @prathamiscoding]

Day 48 - Becoming an AI/ML Engineer
- 9 to 5 college
- principle component analysis (part 2)
- learned problem formulation,covariance and covariance matrix, eigen vectors ans eigen values, how to solve pca
- solved one leetcode problem

[pratham @prathamiscoding]

Day 47 - Becoming an AI/ML Engineer
- 9 to 5 college
- principle component analysis(pca) part 1
- learned what is pca, geometric intuition and why variance is important
- solved one leetcode problem

[pratham @prathamiscoding]

Day 46 - Becoming an AI/ML Engineer
- gave the presentation on the college mini project
- learned what the curse of dimensionality is
- solved one leetcode problem

[pratham @prathamiscoding]

Day 45 - Becoming an AI/ML Engineer
- 9 to 5 college
- learned feature construction, feature splitting
- solved one leetcode problem
- worked on mini project, synopsis and report

[pratham @prathamiscoding]

Day 44 - Becoming an AI/ML Engineer
- 9 to 5 college
- learned outlier detection using the percentile method
- winsorization technique
- solved one leetcode problem

[pratham @prathamiscoding]

Day 43 - Becoming an AI/ML Engineer
- 9 to 5 college
- learned how to handle outliers using iqr box-plot
- solved one leetcode problem

[pratham @prathamiscoding]

Day 42 - Becoming an AI/ML Engineer
- learned outlier detection and removal using z-scores
- trimming, capping methods
- solved one leetcode problem
- completed face recognition attendance system if needed will improve it

[pratham @prathamiscoding]

Day 41 - Becoming an AI/ML Engineer
- learned what are outliers, effect of outliers on ml algorithms, how to treat them, how to detect them , techniques to detect them
- solved one leetcode problem
- trained chest and triceps

[pratham @prathamiscoding]

even though it’s the holidays, I won’t go home now because my whole flow gets disturbed especially after eating good home food and enjoying peaceful sleep.

[pratham @prathamiscoding]

@suspiciouspast @Binkbloh 😳

[pratham @prathamiscoding]

taking a 3-day break because I want to focus on exams

[pratham @prathamiscoding]

Day 40 - Becoming an AI/ML Engineer
- 9 to 5 college
- exams from Thursday
- learned iterative imputer
- solved one leetcode problem
- tomorrow we have to show the Face Recognition Based Attendance System project to ma’am, so I will work on it to make more progress

[pratham @prathamiscoding]

@trying_to_exits Thanks

[pratham @prathamiscoding]

Day 39 - Becoming an AI/ML Engineer

- Sunday
- learned how to handle missing data by knn imputer, multivariate imputation
- solved one leetcode problem
- worked on ui of face emotion detection model
- went to a restaurant to eat with friends.