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holbertonschool-machine_learning's Introduction

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

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