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