I am everything odd. I like sleep as much as I like to code. I like writing as much as I like myself.
Sentiment analysis, or opinion mining, is a crucial subdomain of NLP that focuses on analyzing people’s stances or feelings toward provided textual data. This is used in many fields for different purposes, like social media monitoring, brand image an...
"Leverage Natural Language Processing to Make Informed Stock Market Decisions with an Interactive Sentiment Analysis Dashboard in R"
Random Forest is widely recognized as a powerful ensemble learning algorithm in machine learning due to its ability to combine multiple decision trees for improved predictive accuracy and robustness. However, the Random Forest algorithm has two speci...
Git Hooks: Automating Tasks and Enforcing Quality Git hooks are essentially scripts that execute automatically at specific Git events like commit, push, or rebase. They offer a versatile approach to: Automate Repetitive Tasks: Eliminate the tedium o...
Frozen binaries are a form of distribution for Python applications. They meticulously bundle the Python interpreter, your application's codebase, and all essential libraries and resources into a single, self-contained executable file. Think of a froz...
A First-Time All-Women Hackathon Experience
Introduction: Text mining, also known as intelligent text analysis, text data mining or knowledge discovery in text(KDT) is the process of extracting significant patterns and meaning from unstructured text data. Natural language processing (NLP), dat...
Introduction: Overfitting is a common machine learning problem in which a model learns the training data too well, resulting in noise and outliers. It happens when a model performs extremely well on training data but poorly on validation/test data. T...
Introduction: One of the most important tasks in machine learning is anomaly detection, which looks for patterns in data that differ noticeably from the average. An effective algorithm for anomaly detection is called Isolation Forest. Finding data po...