Holberton School Machine Learning

Machine Learning is a branch of artificial intelligence and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy

Projects inside this repo

Project Directory	Summary
math/0x00-linear_algebra	Linear Algebra scripts in Python
math/0x01-plotting	Plotting graphics with MatplotLib
math/0x02-calculus	Python calculus scripts
math/0x03-probability	Python probability and statistics scripts
math/0x04-convolutions_and_pooling	Python scripts of convolutions and pooling operations
math/0x05-advanced_linear_algebra	Advanced linear algebra scripts in Python
math/0x06-multivariate_prob	Multivariate probability Python scripts
math/0x07-bayesian_prob	Bayesian probability Python scripts
supervised_learning/0x01-classification	Classification scripts of NN and DNN using OOP
supervised_learning/0x02-tensorflow	TensorFlow scripts for binary and multiclass DNN models
supervised_learning/0x03-optimization	Optimization algorithms made in Python for DNN
supervised_learning/0x04-error_analysis	Error analysis scripts for monitoring error in DNN models
supervised_learning/0x05-regularization	Python scripts for regularization ML DNN models to avoid overfitting
supervised_learning/0x06-keras	Keras scripts for implement DNN models
supervised_learning/0x07-cnn	TensorFlow, Keras and Python scripts to create CNN models
supervised_learning/0x08-deep_cnns	Building 5 of the most disruptive DNN architectures
supervised_learning/0x0A-object_detection	Objecct detection using YOLOv3 algorithm from scratch
supervised_learning/0x0C-neural_style_transfer	Neural style transfer using VGG19
supervised_learning/0x0D-RNNs	RNNs
supervised_learning/0x0F-word_embeddings	Natural Language Processing - Word Embeddings
supervised_learning/0x10-nlp_metrics	NLP - Evaluation Metrics
supervised_learning/0x11-attention	Attention
supervised_learning/0x12-transformer_apps	Transformer Applications
supervised_learning/0x13-qa_bot	QA Bot
unsupervised_learning/0x00-dimensionality_reduction	Dimensionality reduction using PCA
unsupervised_learning/0x01-clustering	Clustering using K-means
unsupervised_learning/0x02-hmm	Hidden Markov models
unsupervised_learning/0x03-hyperparameter_tuning	Hyperparameter tuning
unsupervised_learning/0x04-autoencoders	Autoencoders
reinforcement_learning/0x00-q_learning	Q-learning
reinforcement_learning/0x01-deep_q_learning	Deep Q-learning
reinforcement_learning/0x02-temporal_difference	Temporal Difference
reinforcement_learning/0x03-policy_gradients	Policy gradients
pipeline/0x00-pandas	Pandas
pipeline/0x01-apis	Data Collection - APIs
pipeline/0x02-databases	Databases
pipeline/0x04-data_augmentation	Data augmentation