Building a RAG Mood-Based Trending Movie Recommendation App
In my previous post, I built a mood-based movie recommendation app that used LLM (Large Language Model) to analyze metadata from approximately 50 trending mo...
Posts by Tag
- Data Science 9
- ML Engineer 5
- AI Agent 3
- Multiclass Classification 2
- Fundamentals 1
- Regression 1
- RAG 1
Data Science
Handling Validation and Hallucination Issues in LLM for a Mood-Based Movie Recommendation App
Large Language Models (LLMs) are powerful tools for natural language understanding, but they can introduce issues such as validation errors and hallucination...
AI-Agent-Assisted Mood-Based Movie Recommendation
CineMood started as a machine-learning-based mood-based movie recommendation system that analyzed user input and recommended trending movies from The Movie D...
From API to App: Creating a Mood-Based Trending Movie Recommender with Python, Hugging Face, and XGBoost
Ever wondered how to get personalized movie recommendations based on your mood? In this project, I built CineMood (a Mood-Based Trending Movie Recommendation...
Building a Machine Learning Model to Estimate Insurance Premiums
Insurance pricing is a complex process where companies determine premiums based on various risk factors such as age, health, income, claims history, and life...
Step-by-Step Guide to Building a Smart Crop Selection App Using Streamlit
Agriculture plays a crucial role in feeding the world, and selecting the right crop for a given soil type can significantly improve productivity. With Machin...
The Essential Steps of a Successful Data Science Project
In the era of data-driven decision-making, embarking on a data science project requires a structured approach to extract meaningful insights and build impact...
Smart Crop Selection: Using Machine Learning to Optimize Farming Decisions
In this post, we will work on a project that leverages machine learning to assist farmers in making data-driven decisions about which crop to plant based on ...
Metrics for Classification Problems Explained: Accuracy, Precision, Recall, and F1-Score
In the world of machine learning, evaluating a model’s performance is as crucial as building the model itself. Imagine developing a spam email filter or a di...
ML Engineer
Building a RAG Mood-Based Trending Movie Recommendation App
In my previous post, I built a mood-based movie recommendation app that used LLM (Large Language Model) to analyze metadata from approximately 50 trending mo...
Handling Validation and Hallucination Issues in LLM for a Mood-Based Movie Recommendation App
Large Language Models (LLMs) are powerful tools for natural language understanding, but they can introduce issues such as validation errors and hallucination...
AI-Agent-Assisted Mood-Based Movie Recommendation
CineMood started as a machine-learning-based mood-based movie recommendation system that analyzed user input and recommended trending movies from The Movie D...
From API to App: Creating a Mood-Based Trending Movie Recommender with Python, Hugging Face, and XGBoost
Ever wondered how to get personalized movie recommendations based on your mood? In this project, I built CineMood (a Mood-Based Trending Movie Recommendation...
Step-by-Step Guide to Building a Smart Crop Selection App Using Streamlit
Agriculture plays a crucial role in feeding the world, and selecting the right crop for a given soil type can significantly improve productivity. With Machin...
AI Agent
Building a RAG Mood-Based Trending Movie Recommendation App
In my previous post, I built a mood-based movie recommendation app that used LLM (Large Language Model) to analyze metadata from approximately 50 trending mo...
Handling Validation and Hallucination Issues in LLM for a Mood-Based Movie Recommendation App
Large Language Models (LLMs) are powerful tools for natural language understanding, but they can introduce issues such as validation errors and hallucination...
AI-Agent-Assisted Mood-Based Movie Recommendation
CineMood started as a machine-learning-based mood-based movie recommendation system that analyzed user input and recommended trending movies from The Movie D...
Multiclass Classification
From API to App: Creating a Mood-Based Trending Movie Recommender with Python, Hugging Face, and XGBoost
Ever wondered how to get personalized movie recommendations based on your mood? In this project, I built CineMood (a Mood-Based Trending Movie Recommendation...
Smart Crop Selection: Using Machine Learning to Optimize Farming Decisions
In this post, we will work on a project that leverages machine learning to assist farmers in making data-driven decisions about which crop to plant based on ...
Fundamentals
The Essential Steps of a Successful Data Science Project
In the era of data-driven decision-making, embarking on a data science project requires a structured approach to extract meaningful insights and build impact...
Regression
Building a Machine Learning Model to Estimate Insurance Premiums
Insurance pricing is a complex process where companies determine premiums based on various risk factors such as age, health, income, claims history, and life...
RAG
Building a RAG Mood-Based Trending Movie Recommendation App
In my previous post, I built a mood-based movie recommendation app that used LLM (Large Language Model) to analyze metadata from approximately 50 trending mo...