Pinned

1. Churn-Predictions-Telecom-Customer Churn-Predictions-Telecom-Customer Public

   Developed a churn prediction classification model using various techniques including: EDA, Decision trees, Naive Bayes, AdaBoost, MLP, Bagging, RF, KNN, logistic regression, SVM, Hyperparameter tun…

   Jupyter Notebook 2

2. Movies-Recommendation-Hybrid-System Movies-Recommendation-Hybrid-System Public

   Developed a Hybrid movies recommendation system, using various techniques including: Collaborative Filtering, Content-Based Filtering, Singular Value Decomposition, Min-Max Normalization, Cosine Si…

   Jupyter Notebook 2

3. CS513_Knowledge-Discovery-Data-Mining CS513_Knowledge-Discovery-Data-Mining Public

   Learned techniques and tools for Knowledge Discovery and Data Mining: R, RStudio, Classification Models

   R

4. CS556_Mathematical-Foundations-Machine-Learning CS556_Mathematical-Foundations-Machine-Learning Public

   Learned the fundamentals of mathematic and some techniques in machine learning: Linear Algebra, Calculus, Probability, Linear Regression, Support Vector Machine

   Jupyter Notebook 2

5. CS559_Machine-Learning-Fundamentals-Applications CS559_Machine-Learning-Fundamentals-Applications Public

   Learned the fundamentals and applications in ML: Intro to Prob. & Linear algebra, Decision Theory, MLE & BE, Linear Model, Linear Discriminant function, Perceptron, FLD, PCA, Non-parametric Learnin…

   Jupyter Notebook

6. CS584_Natural-Language-Processing CS584_Natural-Language-Processing Public

   Learned knowledge and techniques in Natural Language Processing and also related tools: Python, Pytorch, Jupyter Notebook, Google Colab, RNN, CNN, Reinforcement Learning, LSTM, Language Modeling

   Jupyter Notebook 1