PORTFOLIO - Artificial Intelligence and Machine Learning
01-Movie-Lens
- Statistical Analysis; EDA; Univariate Analysis
02-Loan-Campaign
- Logistic Regression; EDA; Univariate and Bivariate Analysis
03-Term-Deposit
- Logistic Regression, Decision Tree, Random Forest, Bagging, AdaBoost, Gradient Boost Classifier Algorithms
04-Concrete-Strength-Prediction
- Bagging, Random Forest, AdaBoost, Gradient Boost Regressor Algorithms; Feature Selection; Hyperparameter Tuning
05-Credit-Card-Segmentation
- Unsupervised Learning; K-Means, Hierarchical Clustering Methods
06-Bank-Churn-Prediction
- Deep Learning; Neural Networks (ANN); Tensorflow and Keras; ReLU, Sigmoid, Tanh, SMOTE Algorithms
07-Plant-Seedling-Image-Classifier
- Computer Vision; Neural Networks (CNN); Tensorflow and Keras; Image Preprocessing
08-Twitter-Airline-Sentiment-Analysis
- Natural Language Processing (NLP); Sentiment Analysis; Random Forest Classifier; Data Lemonization and Tokenization