HandsOn Machine Learning with Scikit-Learn, Keras, and TensorFlow

This repository contains the code and notebooks for machine learning and deep learning models that I learn daily. It contains algorithms and projects also.

I will keep updating this repository on daily basis.

Name		Name	Last commit message	Last commit date
Latest commit History 95 Commits
concepts_additional		concepts_additional
datasets		datasets
decision_tree_images		decision_tree_images
images		images
tmp		tmp
.gitignore		.gitignore
01.ipynb		01.ipynb
02-Housing.ipynb		02-Housing.ipynb
03-Classification.ipynb		03-Classification.ipynb
03-SpamClassifier.ipynb		03-SpamClassifier.ipynb
03-Titanic.ipynb		03-Titanic.ipynb
03-Titanic_Submission.csv		03-Titanic_Submission.csv
04_1-LinearRegression.ipynb		04_1-LinearRegression.ipynb
04_2-LogisticRegression.ipynb		04_2-LogisticRegression.ipynb
05-SupportVectorMachines.ipynb		05-SupportVectorMachines.ipynb
06-Decision_Trees.ipynb		06-Decision_Trees.ipynb
07-Ensemble_Learning_and_RandomForest.ipynb		07-Ensemble_Learning_and_RandomForest.ipynb
08-Dimensionality_Reduction.ipynb		08-Dimensionality_Reduction.ipynb
09-Unsupervised_Learning.ipynb		09-Unsupervised_Learning.ipynb
10-Introduction_ANN_Keras.ipynb		10-Introduction_ANN_Keras.ipynb
11-Training_Deep_Neural_Network.ipynb		11-Training_Deep_Neural_Network.ipynb
12-Custom_Models_&_Training_with_Tensorflow.ipynb		12-Custom_Models_&_Training_with_Tensorflow.ipynb
13-Loading_n_Preprocessing_Data_with_TF.ipynb		13-Loading_n_Preprocessing_Data_with_TF.ipynb
14-Deep_CV_Using_CNN.ipynb		14-Deep_CV_Using_CNN.ipynb
15-Processing_Sequences_Using_RNN_n_CNN.ipynb		15-Processing_Sequences_Using_RNN_n_CNN.ipynb
15_1_BachLikeChoraleGen.ipynb		15_1_BachLikeChoraleGen.ipynb
16-NLP_with_RNNs_n_Attention.ipynb		16-NLP_with_RNNs_n_Attention.ipynb
README.md		README.md
Resources.md		Resources.md
person.desc		person.desc
person.proto		person.proto
person_pb2.py		person_pb2.py

Preet-Sojitra/handsOnML

Folders and files

Latest commit

History

Repository files navigation

HandsOn Machine Learning with Scikit-Learn, Keras, and TensorFlow

About

Resources

Stars

Watchers

Forks

Languages