Day 32/100 of #100DaysOfCode
Machine Learning
- Naive bayes( Gaussian, Classification, Binomial, Multinomial)
- Logistic regression intuition
- Sigmoid function
- Logistic regression loss function and gradient descent solution
#Python #DataScientist #MachineLearning #Ai
Day 31/100 of #100DaysOfCode
Machine Learning-
- Cross Validation -> Leave One Out CV, K-Folds, Stratified K-Folds
- Hyperparameter Tuning
- Probability for Machine Learning
#python #dataScience #ML #machinelearning #Ai
Day 31/100 of #100DaysOfCode
Machine Learning-
- Cross Validation -> Leave One Out CV, K-Folds, Stratified K-Folds
- Hyperparameter Tuning
- Probability for Machine Learning
#python #dataScience #ML #machinelearning #Ai
Day 30/100 of #100DaysOfCode:
Machine Learning:
- Eigen Values and Eigen Vectors
- Eigen Decomposition + Single Value Decomposition
- ROC Curve in Machine Learning
- Cross Validation
#DataScience #python #Ai #machinelearning #ML
Day 30/100 of #100DaysOfCode:
Machine Learning:
- Eigen Values and Eigen Vectors
- Eigen Decomposition + Single Value Decomposition
- ROC Curve in Machine Learning
- Cross Validation
#DataScience #python #Ai #machinelearning #ML
Day 29/100 of #100DaysOfCode
Machine Learning:
- KNN maths
- Coding KNN from scratch
- Classification Metrics
#python #datascience #ai
Day 29/100 of #100DaysOfCode
Machine Learning:
- KNN maths
- Coding KNN from scratch
- Classification Metrics
#python #datascience #ai
Day 28/100 of #100DaysOfCode
Machine learning:
- Ridge Regression
- Lasso Regression
- ElasticNET
#machinelearning #ml #python
Day 28/100 of #100DaysOfCode
Machine learning:
- Ridge Regression
- Lasso Regression
- ElasticNET
#machinelearning #ml #python
Day 27/100 of #100DaysOfCode
Machine learning:
-Feature selection
-Regularization
#machinelearning #ml #python
Day 27/100 of #100DaysOfCode
Machine learning:
-Feature selection
-Regularization
#machinelearning #ml #python
Day 26/100 of #100DaysOfCode 🚀
Machine Learning:
- Regression Analysis
- Polynomial regression
- Assumptions of Linear regression
- Multicolinearity
#Python #CodingJourney #LearnInPublic #OpenSource #100DaysOfCodeChallenge
Day 26/100 of #100DaysOfCode 🚀
Machine Learning:
- Regression Analysis
- Polynomial regression
- Assumptions of Linear regression
- Multicolinearity
#Python #CodingJourney #LearnInPublic #OpenSource #100DaysOfCodeChallenge
Day 25/100 of #100DaysOfCode 🚀
Advanced Python:
-Concurrency vs Parallelism
-GIL (Global Interpreter Lock)
-Threads & Locks in depth
-Multiprocessing with Queue & Value
-Asyncio, Event Loop, Coroutines & await
-Mixing Threads with Asyncio
-Asyncio + Multiprocessing
-Daemon vs Non-Daemon Threads
-Race Conditions, Deadlocks, Debugging & Profiling
#Python #AsyncIO #Multithreading #Multiprocessing #Concurrency #Parallelism #OperatingSystems #BackendDevelopment #SoftwareEngineering #CodingJourney #LearnInPublic #OpenSource #100DaysOfCodeChallenge
Day 24/100 of #100DaysOfCode
→ Raised a PR today
→ Started learning #FastAPI — clean, fast, and type hints just click
→ Explored #Python frames & how sys.settrace exposes them as objects
#BuildInPublic #CodeNewbie #LearnInPublic #DevCommunity
Contributing to open-source made me realize how important core subjects of CS really are.
-Operating Systems explains why async code, threads, locks, processes, tracing, and schedulers behave the way they do.
-Probability & Statistics becomes essential for ML, analytics, ranking systems, and even A/B testing.
And the best part is that classroom theory feels less theoretical. You start recognizing classroom concepts inside actual production code.
#GSSoC2026
Day 24/100 of #100DaysOfCode
→ Raised a PR today
→ Started learning #FastAPI — clean, fast, and type hints just click
→ Explored #Python frames & how sys.settrace exposes them as objects
#BuildInPublic #CodeNewbie #LearnInPublic #DevCommunity
Day 23/100 of #100DaysOfCode
Big day today:
• My PR got merged in GSSoC 🎉
github.com/sahoo-tech/Execra…
• Developed another feature for Execra and raised a new PR
• Revised SQL concepts
• Studied Linear Algebra for 1.5 hours
• Studied Statistics for 1.5 hours
Slowly stacking consistency, code, and fundamentals every single day.
#GSSoC #OpenSource #Python #SQL #DataScience #MachineLearning #Statistics #LinearAlgebra #CodingJourney #Developer #Programming #Tech #SoftwareEngineering #BuildInPublic #LearnInPublic #100DaysOfCode
Day 23/100 of #100DaysOfCode
Big day today:
• My PR got merged in GSSoC 🎉
github.com/sahoo-tech/Execra…
• Developed another feature for Execra and raised a new PR
• Revised SQL concepts
• Studied Linear Algebra for 1.5 hours
• Studied Statistics for 1.5 hours
Slowly stacking consistency, code, and fundamentals every single day.
#GSSoC #OpenSource #Python #SQL #DataScience #MachineLearning #Statistics #LinearAlgebra #CodingJourney #Developer #Programming #Tech #SoftwareEngineering #BuildInPublic #LearnInPublic #100DaysOfCode
Day 22 of #100DaysOfCode
Pytest:
- Function testing
- Class testing with fixtures
- Api and DB mocking
#python #dataScience #LearnInPublic #BuildInPublic
Day 22 of #100DaysOfCode
Pytest:
- Function testing
- Class testing with fixtures
- Api and DB mocking
#python #dataScience #LearnInPublic #BuildInPublic
Day 21 of #100DaysOfCode:
ML Algorithms:
- Simple Linear regression
- Multiple Linear Regression
Python:
- Pytest unit testing framework
#LearnInPublic #BuildInPublic #python
Day 21 of #100DaysOfCode:
ML Algorithms:
- Simple Linear regression
- Multiple Linear Regression
Python:
- Pytest unit testing framework
#LearnInPublic #BuildInPublic #python
Day 20 of #100DaysOfCode:
Maths for ML:
- Normal Distribution
- Non-Gaussian Distribution
- Central Limit Theorem
- Confidence Interval
- Hypothesis Testing
- Chi Square Test
- ANOVA
#dataScience #Python #math #ML #AI
Day 20 of #100DaysOfCode:
Maths for ML:
- Normal Distribution
- Non-Gaussian Distribution
- Central Limit Theorem
- Confidence Interval
- Hypothesis Testing
- Chi Square Test
- ANOVA
#dataScience #Python #math #ML #AI
Day 19 of #100DaysOfCode:
Flask:
- Session Management
- Cookie Management
- Message Flashing
- Database Integration
- SQLAlchemy ORM
#LearnInPublic #BuildInPublic #WebDev #Python
Day 19 of #100DaysOfCode:
Flask:
- Session Management
- Cookie Management
- Message Flashing
- Database Integration
- SQLAlchemy ORM
#LearnInPublic #BuildInPublic #WebDev #Python
Day 18 of #100DaysOfCode:
Flask:
- Routes and URLs
- Templates and HTML Files
- Forms, POST request and File Handling
Maths for ML:
- Probability distribution function- PDF, PMF and CDF
#learntech #LearnInPublinc #BuildInPublic #Python #WebDev
Excited to share that I’m a Contributor at @girlscriptsoc 2026.
Looking forward to building, learning, and contributing to open source.
#OpenSource #BuildInPublic
Day 18 of #100DaysOfCode:
Flask:
- Routes and URLs
- Templates and HTML Files
- Forms, POST request and File Handling
Maths for ML:
- Probability distribution function- PDF, PMF and CDF
#learntech #LearnInPublinc #BuildInPublic #Python #WebDev
Day 17 of #100DaysOfCode:
Python internals:
- Created a Custom Context Manager for file handling with both Class and Decorators
- Static typing using Pydantic
Maths for ML:
- Quantiles and Percentiles
- BoxPlot theory
- Covariance calculation
- Correlation
- Correlation vs Causation
#LearnInPublic #BuildInPublic #DataScience #Python
Day 17 of #100DaysOfCode:
Python internals:
- Created a Custom Context Manager for file handling with both Class and Decorators
- Static typing using Pydantic
Maths for ML:
- Quantiles and Percentiles
- BoxPlot theory
- Covariance calculation
- Correlation
- Correlation vs Causation
#LearnInPublic #BuildInPublic #DataScience #Python
Day 16 of #100DaysOfCode:
Descriptive Statistics:
- Measure of central tendencies: Mean, Median, Mode, Weighted Mean, Trimmed Mean
- Measure of dispersion: Range, Variation, Standard Deviation
- Coefficient of Variation
- Graphs for univariate analysis & bivariate analysis
- Revised, made notes and dug deep into python internals with @Hiteshdotcom
#LearnInPublic #BuildInPublic #DataScience






