machinelearningbasics

A. Real Basics (ch1-ch6 indexed. simplest code with Numpy from scratch)

Tutorial: Introductory Machine Learning in Python (for tutorial pdf visit suwangcompling.com).
Note: The code is written in a verbose fashion such that each step is explicitly and clearly demonstrated, in correspondence to the tutorial. (For ''fancier'' code that comes with visualization and coding optimization, consult other blogs/github contributors. The current implementation only aims to make clear the main ideas covered in the tutorial.)
Being a linguist, most likely my implementation is not entirely satisfactory. Critical comments are warmly welcome!

Name		Name	Last commit message	Last commit date
Latest commit History 61 Commits
README.md		README.md
ch1_lin_reg.py		ch1_lin_reg.py
ch2_log_reg.py		ch2_log_reg.py
ch3_nn.py		ch3_nn.py
ch5_svm.py		ch5_svm.py
ch6_1_k_means.py		ch6_1_k_means.py
ch6_2_pca.py		ch6_2_pca.py
scikit_learn_1_linear_regression.py		scikit_learn_1_linear_regression.py
scikit_learn_2_classification.py		scikit_learn_2_classification.py
scikit_learn_3_clustering.py		scikit_learn_3_clustering.py
scikit_learn_4_dimensionality_reduction.py		scikit_learn_4_dimensionality_reduction.py
scikit_learn_5_perceptron.py		scikit_learn_5_perceptron.py
scikit_learn_6_svm.py		scikit_learn_6_svm.py
scikit_learn_7_neural_nets.py		scikit_learn_7_neural_nets.py
theano_00_ml_general.ipynb		theano_00_ml_general.ipynb
theano_01_logistic_classification.ipynb		theano_01_logistic_classification.ipynb
theano_02a_single_layer_mlp.ipynb		theano_02a_single_layer_mlp.ipynb
theano_02b_multi_layer_mlp.ipynb		theano_02b_multi_layer_mlp.ipynb
theano_03_conv_nets.ipynb		theano_03_conv_nets.ipynb