Welcome to My Tech-Journal
A space where I share my thoughts, experiences, and learnings on technology, programming, and innovation. Expect in-depth articles, tutorials, and projects that showcase my expertise in web development, cloud computing, machine learning, and more!
Check out the latest posts below!!
DAY 16 - 30 DAYS 30 ML PROJECTS: REAL-TIME FACE DETECTION IN A WEBCAM FEED USING OPENCV
Day 16 of the challenge, real-time face detection in a webcam feed using OpenCV, was my first OpenCV problem, and I had a blast working with computer vision. This project opens up so many possibilities for real-time applications!
DAY 15 - 30 DAYS 30 ML PROJECTS: PREDICT HOUSE PRICES WITH XGBOOST
Day 15 of the 30 Days Machine Learning Challenge involves using XGBoost to predict house prices. The Ames Housing dataset gives a rich feature set, making it ideal for regression tasks. This project steps through data preprocessing, model training, evaluation, and visualization of feature importance using XGBoost.
DAY 14 - 30 DAYS 30 ML PROJECTS: CLUSTER GROCERY STORE CUSTOMERS WITH K-MEANS
In Day 14 of the 30 Days 30 Machine Learning Projects Challenge, I worked on clustering grocery store customers using the K-Means algorithm. This task helps businesses better understand their customer segments, allowing for tailored marketing strategies based on purchase patterns.
MACHINE LEARNING FAQ
This page contains an easy explaination of common jargons of machine learning.
DAY 13 - 30 DAYS 30 ML PROJECTS: BUILD A MUSIC GENRE CLASSIFIER USING AUDIO FEATURES EXTRACTION
On Day 13 of the 30 Day 30 Machine Learning Projects Challenge, the task was to build a music genre classifier using audio features. We aimed to classify songs into different genres based on their audio characteristics. We used machine learning to recognize patterns and differentiate between genres like rock, pop, jazz, and more.
DAY 12 - 30 DAYS 30 MACHINE LEARNING PROJECTS CHALLENGE
Hey, It is Day 11 of the 30 Days 30 Machine Learning Project Challenge. The problem is to Predict Airline Passenger Satisfaction with Gradient Boosting Machine (GBM). Curious about how it went? Read on to see the results!
DAY 11 - 30 DAYS 30 MACHINE LEARNING PROJECTS: ANOMALY DETECTION WITH ISOLATION FOREST
Hey, It is Day 11 of the 30 Days 30 Machine Learning Project Challenge. The problem is to detect anomalies in credit card transaction data with isolation forest. Curious about how it went? Read on to see the results!
DAY 10 - 30 DAYS 30 MACHINE LEARNING PROJECTS: RECOMMENDER SYSTEM USING COLLABORATIVE FILTERING
Hey, It is Day 10 of the 30 Days 30 Machine Learning Project Challenge. The problem is to build recommender system using collaborative filtering. Curious about how it went? Read on to see the results!
DAY 9 - 30 DAYS 30 MACHINE LEARNING PROJECTS
Hey, It is Day 9 of the 30 Days 30 Machine Learning Project Challenge. The problem is to Forecast weather with Simple Linear Regression on time series data. Curious about how it went? Read on to see the results!
DAY 8 - 30 DAYS 30 MACHINE LEARNING PROJECTS
Hey, It is Day 8 of the 30 Days 30 Machine Learning Project Challenge. The problem is to Detect fake news with a PassiveAggressive Classifier and TfidfVectorizer. Curious about how it went? Read on to see the results!