Rainfall Prediction: My Weather Forecasting Journey
My experience building a model to predict rainfall for a Kaggle competition and the lessons learned.
Posts by Tag
- data science 5
- logistic regression 4
- machine learning 3
- sentiment analysis 2
- NLP 2
- naive bayes 2
- sklearn 2
- classification 2
- kaggle 2
- postgres 2
- react 2
- tailwindcss 2
- portfolio project 2
- linear regression 1
- gradient descent 1
- ordinary least squares 1
- numpy 1
- regression 1
- minimal mistakes 1
- jekyll 1
- customer churn 1
- Streamlit 1
- Firebase 1
- visualization 1
- real-time 1
- rainfall prediction 1
- xgboost 1
- weather forecasting 1
- real-time forecasting 1
- demand forecasting 1
- kafka 1
- time series 1
- prophet 1
- streamlit 1
- supabase 1
- data engineering 1
- vite 1
- localstorage 1
- offline-first 1
- frontend 1
- productivity 1
- javascript 1
- spring-boot 1
- fullstack 1
- jwt 1
- docker 1
- gradle 1
- render 1
- netlify 1
- python 1
- generative-ai 1
- google-gemini 1
- retrieval-augmented-generation 1
- rag 1
- embeddings 1
- nlp 1
- vector-search 1
- ai-project 1
- llm 1
data science
Deploying My Real-Time Sentiment Analysis App
Deploying a real-time sentiment analysis system using NLP, Streamlit, and Firebase.
Predicting Customer Churn: A Machine Learning Approach
A deep dive into predicting customer churn using machine learning. This project covers exploratory data analysis, feature engineering, model selection, and k...
Building a Sentiment Analysis System: My First NLP Project
My experience with Natural Language Processing and Sentiment Analysis
Building Linear Regression from Scratch with OLS and Gradient Descent
My experience with Ordinary Least Sqaured, Gradient Descent, and evaluating regression lines
logistic regression
Rainfall Prediction: My Weather Forecasting Journey
My experience building a model to predict rainfall for a Kaggle competition and the lessons learned.
Deploying My Real-Time Sentiment Analysis App
Deploying a real-time sentiment analysis system using NLP, Streamlit, and Firebase.
Predicting Customer Churn: A Machine Learning Approach
A deep dive into predicting customer churn using machine learning. This project covers exploratory data analysis, feature engineering, model selection, and k...
Building a Sentiment Analysis System: My First NLP Project
My experience with Natural Language Processing and Sentiment Analysis
machine learning
Building a Real-Time Demand Forecasting System
A breakdown of how I built and deployed a real-time demand forecasting pipeline using Kafka, PostgreSQL, Prophet, and Streamlit.
Rainfall Prediction: My Weather Forecasting Journey
My experience building a model to predict rainfall for a Kaggle competition and the lessons learned.
Predicting Customer Churn: A Machine Learning Approach
A deep dive into predicting customer churn using machine learning. This project covers exploratory data analysis, feature engineering, model selection, and k...
sentiment analysis
Deploying My Real-Time Sentiment Analysis App
Deploying a real-time sentiment analysis system using NLP, Streamlit, and Firebase.
Building a Sentiment Analysis System: My First NLP Project
My experience with Natural Language Processing and Sentiment Analysis
NLP
Deploying My Real-Time Sentiment Analysis App
Deploying a real-time sentiment analysis system using NLP, Streamlit, and Firebase.
Building a Sentiment Analysis System: My First NLP Project
My experience with Natural Language Processing and Sentiment Analysis
naive bayes
Deploying My Real-Time Sentiment Analysis App
Deploying a real-time sentiment analysis system using NLP, Streamlit, and Firebase.
Building a Sentiment Analysis System: My First NLP Project
My experience with Natural Language Processing and Sentiment Analysis
sklearn
Deploying My Real-Time Sentiment Analysis App
Deploying a real-time sentiment analysis system using NLP, Streamlit, and Firebase.
Building a Sentiment Analysis System: My First NLP Project
My experience with Natural Language Processing and Sentiment Analysis
classification
Rainfall Prediction: My Weather Forecasting Journey
My experience building a model to predict rainfall for a Kaggle competition and the lessons learned.
Predicting Customer Churn: A Machine Learning Approach
A deep dive into predicting customer churn using machine learning. This project covers exploratory data analysis, feature engineering, model selection, and k...
kaggle
Building BoardGameGPT: An AI Assistant for Rule Queries
How I built a question-answering system for board game rules using Python, Google Gemini’s API, and Retrieval-Augmented Generation (RAG) in a Kaggle Notebook.
Rainfall Prediction: My Weather Forecasting Journey
My experience building a model to predict rainfall for a Kaggle competition and the lessons learned.
postgres
Building FairSplit: A Full-Stack Expense Splitting App
How I built and deployed a full-stack expense splitting platform with Java, Spring Boot, React, and Tailwind — featuring authentication, group management, ex...
Building a Real-Time Demand Forecasting System
A breakdown of how I built and deployed a real-time demand forecasting pipeline using Kafka, PostgreSQL, Prophet, and Streamlit.
react
Building FairSplit: A Full-Stack Expense Splitting App
How I built and deployed a full-stack expense splitting platform with Java, Spring Boot, React, and Tailwind — featuring authentication, group management, ex...
Building NoteVault: A Local-First Note-Taking App
How I built a simple, offline-first note-taking app using React, Tailwind, and localStorage — with a focus on usability, clarity, and shipping something real.
tailwindcss
Building FairSplit: A Full-Stack Expense Splitting App
How I built and deployed a full-stack expense splitting platform with Java, Spring Boot, React, and Tailwind — featuring authentication, group management, ex...
Building NoteVault: A Local-First Note-Taking App
How I built a simple, offline-first note-taking app using React, Tailwind, and localStorage — with a focus on usability, clarity, and shipping something real.
portfolio project
Building FairSplit: A Full-Stack Expense Splitting App
How I built and deployed a full-stack expense splitting platform with Java, Spring Boot, React, and Tailwind — featuring authentication, group management, ex...
Building NoteVault: A Local-First Note-Taking App
How I built a simple, offline-first note-taking app using React, Tailwind, and localStorage — with a focus on usability, clarity, and shipping something real.
linear regression
Building Linear Regression from Scratch with OLS and Gradient Descent
My experience with Ordinary Least Sqaured, Gradient Descent, and evaluating regression lines
gradient descent
Building Linear Regression from Scratch with OLS and Gradient Descent
My experience with Ordinary Least Sqaured, Gradient Descent, and evaluating regression lines
ordinary least squares
Building Linear Regression from Scratch with OLS and Gradient Descent
My experience with Ordinary Least Sqaured, Gradient Descent, and evaluating regression lines
numpy
Building Linear Regression from Scratch with OLS and Gradient Descent
My experience with Ordinary Least Sqaured, Gradient Descent, and evaluating regression lines
regression
Building Linear Regression from Scratch with OLS and Gradient Descent
My experience with Ordinary Least Sqaured, Gradient Descent, and evaluating regression lines
minimal mistakes
Setting up my Minimal Mistakes website
My experience with Minimal Mistakes, Jekyll, and GitHub Pages
jekyll
Setting up my Minimal Mistakes website
My experience with Minimal Mistakes, Jekyll, and GitHub Pages
customer churn
Predicting Customer Churn: A Machine Learning Approach
A deep dive into predicting customer churn using machine learning. This project covers exploratory data analysis, feature engineering, model selection, and k...
Streamlit
Deploying My Real-Time Sentiment Analysis App
Deploying a real-time sentiment analysis system using NLP, Streamlit, and Firebase.
Firebase
Deploying My Real-Time Sentiment Analysis App
Deploying a real-time sentiment analysis system using NLP, Streamlit, and Firebase.
visualization
Deploying My Real-Time Sentiment Analysis App
Deploying a real-time sentiment analysis system using NLP, Streamlit, and Firebase.
real-time
Deploying My Real-Time Sentiment Analysis App
Deploying a real-time sentiment analysis system using NLP, Streamlit, and Firebase.
rainfall prediction
Rainfall Prediction: My Weather Forecasting Journey
My experience building a model to predict rainfall for a Kaggle competition and the lessons learned.
xgboost
Rainfall Prediction: My Weather Forecasting Journey
My experience building a model to predict rainfall for a Kaggle competition and the lessons learned.
weather forecasting
Rainfall Prediction: My Weather Forecasting Journey
My experience building a model to predict rainfall for a Kaggle competition and the lessons learned.
real-time forecasting
Building a Real-Time Demand Forecasting System
A breakdown of how I built and deployed a real-time demand forecasting pipeline using Kafka, PostgreSQL, Prophet, and Streamlit.
demand forecasting
Building a Real-Time Demand Forecasting System
A breakdown of how I built and deployed a real-time demand forecasting pipeline using Kafka, PostgreSQL, Prophet, and Streamlit.
kafka
Building a Real-Time Demand Forecasting System
A breakdown of how I built and deployed a real-time demand forecasting pipeline using Kafka, PostgreSQL, Prophet, and Streamlit.
time series
Building a Real-Time Demand Forecasting System
A breakdown of how I built and deployed a real-time demand forecasting pipeline using Kafka, PostgreSQL, Prophet, and Streamlit.
prophet
Building a Real-Time Demand Forecasting System
A breakdown of how I built and deployed a real-time demand forecasting pipeline using Kafka, PostgreSQL, Prophet, and Streamlit.
streamlit
Building a Real-Time Demand Forecasting System
A breakdown of how I built and deployed a real-time demand forecasting pipeline using Kafka, PostgreSQL, Prophet, and Streamlit.
supabase
Building a Real-Time Demand Forecasting System
A breakdown of how I built and deployed a real-time demand forecasting pipeline using Kafka, PostgreSQL, Prophet, and Streamlit.
data engineering
Building a Real-Time Demand Forecasting System
A breakdown of how I built and deployed a real-time demand forecasting pipeline using Kafka, PostgreSQL, Prophet, and Streamlit.
vite
Building NoteVault: A Local-First Note-Taking App
How I built a simple, offline-first note-taking app using React, Tailwind, and localStorage — with a focus on usability, clarity, and shipping something real.
localstorage
Building NoteVault: A Local-First Note-Taking App
How I built a simple, offline-first note-taking app using React, Tailwind, and localStorage — with a focus on usability, clarity, and shipping something real.
offline-first
Building NoteVault: A Local-First Note-Taking App
How I built a simple, offline-first note-taking app using React, Tailwind, and localStorage — with a focus on usability, clarity, and shipping something real.
frontend
Building NoteVault: A Local-First Note-Taking App
How I built a simple, offline-first note-taking app using React, Tailwind, and localStorage — with a focus on usability, clarity, and shipping something real.
productivity
Building NoteVault: A Local-First Note-Taking App
How I built a simple, offline-first note-taking app using React, Tailwind, and localStorage — with a focus on usability, clarity, and shipping something real.
javascript
Building NoteVault: A Local-First Note-Taking App
How I built a simple, offline-first note-taking app using React, Tailwind, and localStorage — with a focus on usability, clarity, and shipping something real.
spring-boot
Building FairSplit: A Full-Stack Expense Splitting App
How I built and deployed a full-stack expense splitting platform with Java, Spring Boot, React, and Tailwind — featuring authentication, group management, ex...
fullstack
Building FairSplit: A Full-Stack Expense Splitting App
How I built and deployed a full-stack expense splitting platform with Java, Spring Boot, React, and Tailwind — featuring authentication, group management, ex...
jwt
Building FairSplit: A Full-Stack Expense Splitting App
How I built and deployed a full-stack expense splitting platform with Java, Spring Boot, React, and Tailwind — featuring authentication, group management, ex...
docker
Building FairSplit: A Full-Stack Expense Splitting App
How I built and deployed a full-stack expense splitting platform with Java, Spring Boot, React, and Tailwind — featuring authentication, group management, ex...
gradle
Building FairSplit: A Full-Stack Expense Splitting App
How I built and deployed a full-stack expense splitting platform with Java, Spring Boot, React, and Tailwind — featuring authentication, group management, ex...
render
Building FairSplit: A Full-Stack Expense Splitting App
How I built and deployed a full-stack expense splitting platform with Java, Spring Boot, React, and Tailwind — featuring authentication, group management, ex...
netlify
Building FairSplit: A Full-Stack Expense Splitting App
How I built and deployed a full-stack expense splitting platform with Java, Spring Boot, React, and Tailwind — featuring authentication, group management, ex...
python
Building BoardGameGPT: An AI Assistant for Rule Queries
How I built a question-answering system for board game rules using Python, Google Gemini’s API, and Retrieval-Augmented Generation (RAG) in a Kaggle Notebook.
generative-ai
Building BoardGameGPT: An AI Assistant for Rule Queries
How I built a question-answering system for board game rules using Python, Google Gemini’s API, and Retrieval-Augmented Generation (RAG) in a Kaggle Notebook.
google-gemini
Building BoardGameGPT: An AI Assistant for Rule Queries
How I built a question-answering system for board game rules using Python, Google Gemini’s API, and Retrieval-Augmented Generation (RAG) in a Kaggle Notebook.
retrieval-augmented-generation
Building BoardGameGPT: An AI Assistant for Rule Queries
How I built a question-answering system for board game rules using Python, Google Gemini’s API, and Retrieval-Augmented Generation (RAG) in a Kaggle Notebook.
rag
Building BoardGameGPT: An AI Assistant for Rule Queries
How I built a question-answering system for board game rules using Python, Google Gemini’s API, and Retrieval-Augmented Generation (RAG) in a Kaggle Notebook.
embeddings
Building BoardGameGPT: An AI Assistant for Rule Queries
How I built a question-answering system for board game rules using Python, Google Gemini’s API, and Retrieval-Augmented Generation (RAG) in a Kaggle Notebook.
nlp
Building BoardGameGPT: An AI Assistant for Rule Queries
How I built a question-answering system for board game rules using Python, Google Gemini’s API, and Retrieval-Augmented Generation (RAG) in a Kaggle Notebook.
vector-search
Building BoardGameGPT: An AI Assistant for Rule Queries
How I built a question-answering system for board game rules using Python, Google Gemini’s API, and Retrieval-Augmented Generation (RAG) in a Kaggle Notebook.
ai-project
Building BoardGameGPT: An AI Assistant for Rule Queries
How I built a question-answering system for board game rules using Python, Google Gemini’s API, and Retrieval-Augmented Generation (RAG) in a Kaggle Notebook.
llm
Building BoardGameGPT: An AI Assistant for Rule Queries
How I built a question-answering system for board game rules using Python, Google Gemini’s API, and Retrieval-Augmented Generation (RAG) in a Kaggle Notebook.