Machine Learning Projects 1) Taxi Price Prediction - Linear Regression EDA, Descriptive Analysis Data Preprocessing, Cleaning, Transformation Weekly/daily/hourly patterns Correlations Regression Model with Equation Predictive Analysis 2) Fake News Detection - Machine Learning Classification Data Cleaning and Preprocessing Natural Language Processing Lemmatization Tfidf Vectorization Multinomial Naive Bayes Classifier Classification Metrics 3) Red Wine Quality Prediction - Linear Regression with various models Data Preprocessing EDA with Visualizations Multiple Linear Regression Ridge Regression Support Vector Regression Decision Tree Regression Random Forest Regression XGBoost 4) MOOC User Behaviour Prediction - Classification with Random Forest Data Preprocessing GridSearchCV ROC-AUC score Random Forest algorithm Train test split 5) House Prices Kaggle Competition - Linear Regression with Gradient boosting Gradient boosting algorithm Preprocessing Missing values handling Pipeline XGBoost 6) Netflix Recommendation System - Recommender System with sklearn Data Cleaning Features Engineering Cosine Similarity Prediction 7) Image Recognition, Counting Objects - Computer Vision OpenCV library Numpy Common objects detection Counting objects