dsmlb-Python

Python Data Science and Machine Learning for Beginners

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
.gitignore		.gitignore
10-1 Outliers.ipynb		10-1 Outliers.ipynb
10-3 Missing values.ipynb		10-3 Missing values.ipynb
10-4 5 6Feature selection and label encoding.ipynb		10-4 5 6Feature selection and label encoding.ipynb
10-7 8 Hyper parameter tuning.ipynb		10-7 8 Hyper parameter tuning.ipynb
3-1 python basics.ipynb		3-1 python basics.ipynb
3-2 python basics.ipynb		3-2 python basics.ipynb
4-1 python basics.ipynb		4-1 python basics.ipynb
4-2 python basics.ipynb		4-2 python basics.ipynb
5 Numpy.ipynb		5 Numpy.ipynb
6 pandas.ipynb		6 pandas.ipynb
7 Matplotlib.ipynb		7 Matplotlib.ipynb
8 Statistics.ipynb		8 Statistics.ipynb
9-1 Naive Bayes.ipynb		9-1 Naive Bayes.ipynb
9-2 Linear Regression.ipynb		9-2 Linear Regression.ipynb
9-3 Logistic Regression.ipynb		9-3 Logistic Regression.ipynb
9-4 K-NN.ipynb		9-4 K-NN.ipynb
9-5 Decision Tree.ipynb		9-5 Decision Tree.ipynb
9-6 Random Forest.ipynb		9-6 Random Forest.ipynb
9-7 K-means clustering.ipynb		9-7 K-means clustering.ipynb
9-8 SVM.ipynb		9-8 SVM.ipynb
9-9 Neural Network.ipynb		9-9 Neural Network.ipynb
README.md		README.md
myfirstgraph.png		myfirstgraph.png
myfirstgraph2.png		myfirstgraph2.png

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