/Tennis-Match-Prediction

Developed machine learning models using algorithms like SVM, Logistic Regression, Random Forest to predict the winner of the tournament, ranking and form of the player after the tournament using exploratory data analysis, feature engineering and data preprocessing.

Primary LanguageJupyter Notebook

Applied-Machine-Learning

AML ML AI Statistics

Linear & logistic regression

Model evaluation (eg. overfitting)

Decision trees & information theory

k-nearest neighbors

Naive Bayes

Support vector machines

Neural networks

K-means

Gaussian mixtures

Expectation-maximization algorithm

Singular value decomposition

Latent Dirichlet allocation

Linear Algebra

Probability

Statistics

Calculus