ML-course

A collection of code snippets regarding Python Fundamentals, Data Analysis, Data Visualization, Optimization, Machine Learning and Deep Learning. Mostly for educative purposes.

Name		Name	Last commit message	Last commit date
Latest commit History 94 Commits
Autoencoders		Autoencoders
CNNs		CNNs
CheatSheets		CheatSheets
Data-Analysis-python		Data-Analysis-python
EDA		EDA
GANs		GANs
Image-Captioning		Image-Captioning
ML-Physics/notebooks		ML-Physics/notebooks
NovosPiratas		NovosPiratas
Optimization		Optimization
PR_and_ML		PR_and_ML
Python-for-DS		Python-for-DS
R		R
RNNs		RNNs
Scala		Scala
Tensorflow		Tensorflow
TimeSeries		TimeSeries
WebScraping		WebScraping
cargox		cargox
fut_sales		fut_sales
intro-ml		intro-ml
yml-envs		yml-envs
1803.08823.pdf		1803.08823.pdf
Datalab_Challenge.ipynb		Datalab_Challenge.ipynb
ESLII_print12.pdf		ESLII_print12.pdf
GBM_drop_tree.ipynb		GBM_drop_tree.ipynb
Hands-on-Machine-Learning-with-Scikit-2E.pdf		Hands-on-Machine-Learning-with-Scikit-2E.pdf
NumpyNN+%28honor%29.ipynb		NumpyNN+%28honor%29.ipynb
POS_task.ipynb		POS_task.ipynb
README.md		README.md
Serasa_Challenge.ipynb		Serasa_Challenge.ipynb
Thomas_Andrews.ipynb		Thomas_Andrews.ipynb
fine_tuning_clean.ipynb		fine_tuning_clean.ipynb
seq2seq_qna_tutorial.ipynb		seq2seq_qna_tutorial.ipynb

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