adaboost Flight delay prediction and exploration in the United States
affirmations Affirmations with Flutter
ai Diabetic Retinopathy and Glaucoma Detection (Cheers AI Demo)
algorithmic-trading Machine Learning for Trading
alpha Machine Learning for Trading
analysis Data in News Revisited  /  Devs in Nepal  /  Data in News
analytics Enhancing Decision-Making for Parents and Authorities, A Comprehensive Analysis and Mapping of School Performance in New York City  /  Flight delay prediction and exploration in the United States  /  The Beginner's Trap in analytics  /  Analytics for Ride Hailing Services
analytics in ride sharing Analytics for Ride Hailing Services
android Affirmations with Flutter  /  Edquake  /  Edcrayon  /  Etymology and Ngram  /  Neo-literacy app concept  /  Net Promoter Scale (NPS)  /  Swahili Phonics App with Stanford University  /  The Lost Brothers  / …
arduino Android+Arduino RC Car
bayes Spirathon AI Conference 2019
beta Machine Learning for Trading
blockchain Trove Summary  /  Underlying Architecture of Trove  /  Torpe Blockchain
blockstack Trove Summary  /  Underlying Architecture of Trove
bot Nepal Vaccine Progress Twitter Bot
calculus [Paper Exploration] Adam: A Method for Stochastic Optimization  /  Deterministic Optimization
capm Machine Learning for Trading
capstone Compiler from Scratch
careerdevelopment Code for Nepal and DataCamp Donates: Data Fellowship 2023  /  Code for Nepal and DataCamp Partnership: Empowering Data Literacy and Career Growth
cart [Paper Exploration] Statistical Modeling: The Two Cultures
certificate Ethics in Human Research
certification Term Frequecy Inverse Document Frequency (TFIDF)
classification [Paper Exploration] Train Once, Test Anywhere: Zero-Shot Learning for Text Classification  /  Birds, Plane, Superman
cli Kohokoho
clustering Topics on High-Dimensional Data Analytics (Machine Learning 2)
codefornepal Code for Nepal and DataCamp Donates: Data Fellowship 2023  /  Code for Nepal and DataCamp Partnership: Empowering Data Literacy and Career Growth
column-generation Deterministic Optimization
community Solveathon Nepal 2019
compiler Compiler from Scratch
computer vision [Paper Exploration] In-Depth Analysis of the Segment Anything Model (SAM)
contingency table Detecting the edibility of Mushrooms in the wild
convex Deterministic Optimization
convolution Topics on High-Dimensional Data Analytics (Machine Learning 2)
correlation Enhancing Decision-Making for Parents and Authorities, A Comprehensive Analysis and Mapping of School Performance in New York City  /  Flight delay prediction and exploration in the United States  /  Detecting the edibility of Mushrooms in the wild
correspondence analysis Detecting the edibility of Mushrooms in the wild
cost-function Deterministic Optimization
cramers v Detecting the edibility of Mushrooms in the wild
cs6750 Redesigning the Goodreads bookshelf interaction
cse-6040 The Beginner's Trap in analytics
data Tedx Talk: Nepal in the Loop  /  Nepal Data Literacy Program
data analysis Sampling Methodology
data-viz Enhancing Decision-Making for Parents and Authorities, A Comprehensive Analysis and Mapping of School Performance in New York City  /  Flight delay prediction and exploration in the United States  /  K-Shaped recovery  /  You vs Bezos - Weber Fencher law  /  Feasibility study with sentiment analysis and voronoi  /  Fractal Plots
dataanalysis Code for Nepal and DataCamp Donates: Data Fellowship 2023  /  Code for Nepal and DataCamp Partnership: Empowering Data Literacy and Career Growth
datacamp Code for Nepal and DataCamp Donates: Data Fellowship 2023  /  Code for Nepal and DataCamp Partnership: Empowering Data Literacy and Career Growth
datascience Code for Nepal and DataCamp Donates: Data Fellowship 2023  /  Code for Nepal and DataCamp Partnership: Empowering Data Literacy and Career Growth
datavisualization Code for Nepal and DataCamp Donates: Data Fellowship 2023  /  Code for Nepal and DataCamp Partnership: Empowering Data Literacy and Career Growth
dbt Path to DBT Analytics Engineering
dcdonates Code for Nepal and DataCamp Donates: Data Fellowship 2023  /  Code for Nepal and DataCamp Partnership: Empowering Data Literacy and Career Growth
decision tree Detecting the edibility of Mushrooms in the wild
deep learning [Paper Exploration] In-Depth Analysis of the Segment Anything Model (SAM)  /  [Paper Exploration] Deep Residual Learning for Image Recognition  /  Flight delay prediction and exploration in the United States
digitalliteracy Code for Nepal and DataCamp Donates: Data Fellowship 2023  /  Code for Nepal and DataCamp Partnership: Empowering Data Literacy and Career Growth
dimensionality reduction Flight delay prediction and exploration in the United States  /  Detecting the edibility of Mushrooms in the wild
eda The Beginner's Trap in analytics  /  Analytics for Ride Hailing Services
encryption Diffie-Hellman key exchange (and AES-256)  /  RSA encryption
etymology Etymology and Ngram
explainability [Paper Exploration] A Unified Approach to Interpreting Model Predictions
faro The Faro Shuffle
fellowshipprogram Code for Nepal and DataCamp Donates: Data Fellowship 2023  /  Code for Nepal and DataCamp Partnership: Empowering Data Literacy and Career Growth
few shot [Paper Exploration] In-Depth Analysis of the Segment Anything Model (SAM)
flask Diabetic Retinopathy and Glaucoma Detection (Cheers AI Demo)  /  Nepal Vaccine Progress Twitter Bot  /  Kohokoho
flutter Affirmations with Flutter
gaia Trove Summary  /  Underlying Architecture of Trove
game-theory [Paper Exploration] A Unified Approach to Interpreting Model Predictions
gradient descent [Paper Exploration] Deep Residual Learning for Image Recognition  /  [Paper Exploration] Adam: A Method for Stochastic Optimization
group theory The Faro Shuffle
group-project Enhancing Decision-Making for Parents and Authorities, A Comprehensive Analysis and Mapping of School Performance in New York City  /  Flight delay prediction and exploration in the United States
hadamard_product Topics on High-Dimensional Data Analytics (Machine Learning 2)
hedge-funds Machine Learning for Trading
hippa Ethics in Human Research
image segmentation [Paper Exploration] In-Depth Analysis of the Segment Anything Model (SAM)
image_analysis Topics on High-Dimensional Data Analytics (Machine Learning 2)
indicators Machine Learning for Trading
integral Deterministic Optimization
isye-6501 Analytics for Ride Hailing Services
java Snakes and Ladders  /  Compiler from Scratch  /  Area of the Mandelbrot Set  /  The Faro Shuffle
khatri_rao_product Topics on High-Dimensional Data Analytics (Machine Learning 2)
kirsch_operator Topics on High-Dimensional Data Analytics (Machine Learning 2)
kmeans Topics on High-Dimensional Data Analytics (Machine Learning 2)
knn Topics on High-Dimensional Data Analytics (Machine Learning 2)  /  Machine Learning for Trading
kronecker_product Topics on High-Dimensional Data Analytics (Machine Learning 2)
lasso Topics on High-Dimensional Data Analytics (Machine Learning 2)
learning Ethics in Human Research
linear-algebra Deterministic Optimization
linear-regression Machine Learning for Trading
literacy Nepal Data Literacy Program
machine learning [Paper Exploration] In-Depth Analysis of the Segment Anything Model (SAM)  /  [Paper Exploration] Deep Residual Learning for Image Recognition  /  [Paper Exploration] Adam: A Method for Stochastic Optimization  /  Enhancing Decision-Making for Parents and Authorities, A Comprehensive Analysis and Mapping of School Performance in New York City  /  Flight delay prediction and exploration in the United States
machinelearning Code for Nepal and DataCamp Donates: Data Fellowship 2023  /  Code for Nepal and DataCamp Partnership: Empowering Data Literacy and Career Growth
mandelbrot Fractal Plots  /  Area of the Mandelbrot Set
maps Inclusive Nepal
markov chains Snakes and Ladders
mca Detecting the edibility of Mushrooms in the wild
mentorship Solveathon Nepal 2019
meta ai [Paper Exploration] In-Depth Analysis of the Segment Anything Model (SAM)
ml [Paper Exploration] Statistical Modeling: The Two Cultures  /  [Paper Exploration] SMOTE: Synthetic Minority Over-sampling Technique  /  [Paper Exploration] An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale  /  [Paper Exploration] A Unified Approach to Interpreting Model Predictions  /  Diabetic Retinopathy and Glaucoma Detection (Cheers AI Demo)  /  Fraud Detection  /  Birds, Plane, Superman
ml4t Machine Learning for Trading
monte carlo Republic of Zorgania  /  Area of the Mandelbrot Set
nepal Tedx Talk: Nepal in the Loop  /  Diabetic Retinopathy and Glaucoma Detection (Cheers AI Demo)  /  Analytics for Ride Hailing Services
nlp [Paper Exploration] Train Once, Test Anywhere: Zero-Shot Learning for Text Classification
objective-function Deterministic Optimization
optimization [Paper Exploration] Adam: A Method for Stochastic Optimization  /  Topics on High-Dimensional Data Analytics (Machine Learning 2)  /  Deterministic Optimization  /  Analytics for Ride Hailing Services
organizer Solveathon Nepal 2019
panels British College AI Conference
paper [Paper Exploration] Statistical Modeling: The Two Cultures  /  [Paper Exploration] SMOTE: Synthetic Minority Over-sampling Technique  /  [Paper Exploration] An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
parametric Machine Learning for Trading
pareto Synthetic data based on pareto principle
pca Topics on High-Dimensional Data Analytics (Machine Learning 2)  /  Flight delay prediction and exploration in the United States  /  Detecting the edibility of Mushrooms in the wild
polynomial_regression Topics on High-Dimensional Data Analytics (Machine Learning 2)
predictor-model Human-Computer Interaction  /  Redesigning the Goodreads bookshelf interaction
probability Republic of Zorgania  /  Snakes and Ladders
processor-mode Human-Computer Interaction  /  Redesigning the Goodreads bookshelf interaction
product A brief history of Tootle  /  Learnings from Tootle  /  Edquake  /  Edcrayon
proxy Data in News Revisited  /  Data in News
python Diabetic Retinopathy and Glaucoma Detection (Cheers AI Demo)  /  Synthetic Data Generation: eHamroPasalmandu.com  /  Sentiment Analysis starter code  /  Nepal Vaccine Progress Twitter Bot  /  Kohokoho  /  Synthetic data based on pareto principle  /  Spirathon AI Conference 2019  /  Fraud Detection  / …
pythonprogramming Code for Nepal and DataCamp Donates: Data Fellowship 2023  /  Code for Nepal and DataCamp Partnership: Empowering Data Literacy and Career Growth
pytorch Birds, Plane, Superman
r Republic of Zorgania  /  Fractal Plots
random-forest Enhancing Decision-Making for Parents and Authorities, A Comprehensive Analysis and Mapping of School Performance in New York City  /  Flight delay prediction and exploration in the United States
rbfkernel Topics on High-Dimensional Data Analytics (Machine Learning 2)
regression Topics on High-Dimensional Data Analytics (Machine Learning 2)  /  Analytics for Ride Hailing Services
regularization Topics on High-Dimensional Data Analytics (Machine Learning 2)
research Ethics in Human Research
resnet [Paper Exploration] Deep Residual Learning for Image Recognition
ride hailing Analytics for Ride Hailing Services
ride sharing Analytics for Ride Hailing Services
ridge Topics on High-Dimensional Data Analytics (Machine Learning 2)
roc [Paper Exploration] SMOTE: Synthetic Minority Over-sampling Technique
rolling-statistics Machine Learning for Trading
sam [Paper Exploration] In-Depth Analysis of the Segment Anything Model (SAM)
sampling Sampling Methodology
segmentation Topics on High-Dimensional Data Analytics (Machine Learning 2)
sentiment Sentiment Analysis starter code
sentiment-analysis Feasibility study with sentiment analysis and voronoi
shap [Paper Exploration] A Unified Approach to Interpreting Model Predictions
simplex Deterministic Optimization
smote [Paper Exploration] SMOTE: Synthetic Minority Over-sampling Technique
sobel_operator Topics on High-Dimensional Data Analytics (Machine Learning 2)
socialimpact Code for Nepal and DataCamp Donates: Data Fellowship 2023  /  Code for Nepal and DataCamp Partnership: Empowering Data Literacy and Career Growth
sota [Paper Exploration] In-Depth Analysis of the Segment Anything Model (SAM)  /  [Paper Exploration] Deep Residual Learning for Image Recognition
splines Topics on High-Dimensional Data Analytics (Machine Learning 2)
sql Code for Nepal and DataCamp Donates: Data Fellowship 2023  /  Code for Nepal and DataCamp Partnership: Empowering Data Literacy and Career Growth
stackoverflow Devs in Nepal
stanford Swahili Phonics App with Stanford University
statistics Sampling Methodology
synthetic Synthetic Data Generation: eHamroPasalmandu.com  /  Synthetic data based on pareto principle
t-sne Detecting the edibility of Mushrooms in the wild
tableau The Emojis of Kathmandu  /  Devs in Nepal  /  You vs Bezos - Weber Fencher law
teaching materials Nepal Data Literacy Program
technical-analysis Machine Learning for Trading
tedx Tedx Talk: Nepal in the Loop
tensor_data_analysis Topics on High-Dimensional Data Analytics (Machine Learning 2)
tfidf Term Frequecy Inverse Document Frequency (TFIDF)
tootle Analytics for Ride Hailing Services
trading Machine Learning for Trading
transformation Topics on High-Dimensional Data Analytics (Machine Learning 2)
transformers [Paper Exploration] An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
tucker_decomposition Topics on High-Dimensional Data Analytics (Machine Learning 2)
twitter Sentiment Analysis starter code
user-experience Human-Computer Interaction  /  Redesigning the Goodreads bookshelf interaction
user-interaction Human-Computer Interaction  /  Redesigning the Goodreads bookshelf interaction
user-interface Human-Computer Interaction  /  Redesigning the Goodreads bookshelf interaction
viz The Emojis of Kathmandu  /  Inclusive Nepal
voronoi Feasibility study with sentiment analysis and voronoi
web app Kohokoho
xgboost Enhancing Decision-Making for Parents and Authorities, A Comprehensive Analysis and Mapping of School Performance in New York City  /  Flight delay prediction and exploration in the United States
zero-shot [Paper Exploration] In-Depth Analysis of the Segment Anything Model (SAM)  /  [Paper Exploration] Train Once, Test Anywhere: Zero-Shot Learning for Text Classification