GitHub - amitp1895/python-basics: codes to learn python scripting

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
LS --05_1 --Basic commands .ipynb		LS --05_1 --Basic commands .ipynb
LS 11.09-- Grid search CV .ipynb		LS 11.09-- Grid search CV .ipynb
LS 5.01 --Basic commands .ipynb		LS 5.01 --Basic commands .ipynb
LS 5.08.09 -- List-Tuple-Dictionary-Set.ipynb		LS 5.08.09 -- List-Tuple-Dictionary-Set.ipynb
LS 5.15.16-- Loops .ipynb		LS 5.15.16-- Loops .ipynb
LS 5.16-- IF-Elif-Else.ipynb		LS 5.16-- IF-Elif-Else.ipynb
LS 5.22-- Functions and string.format.ipynb		LS 5.22-- Functions and string.format.ipynb
LS 5.23-- Exception handling .ipynb		LS 5.23-- Exception handling .ipynb
LS 5.23.29 --OOPS.ipynb		LS 5.23.29 --OOPS.ipynb
LS 5.29 --Modules.ipynb		LS 5.29 --Modules.ipynb
LS 5.30-- File IO function ..ipynb		LS 5.30-- File IO function ..ipynb
LS 5_15.16-- Loops .ipynb		LS 5_15.16-- Loops .ipynb
LS 5_16-- IF-Elif-Else.ipynb		LS 5_16-- IF-Elif-Else.ipynb
LS 5_22-- Functions and string.format.ipynb		LS 5_22-- Functions and string.format.ipynb
LS 5_8.9 -- List-Tuple-Dictionary-Set.ipynb		LS 5_8.9 -- List-Tuple-Dictionary-Set.ipynb
LS 6.19--NumPy.ipynb		LS 6.19--NumPy.ipynb
LS 6.20-- Pandas .ipynb		LS 6.20-- Pandas .ipynb
LS 6.26.27-- PANDAS Vizualization .ipynb		LS 6.26.27-- PANDAS Vizualization .ipynb
LS 7.04-- Matplotlib.ipynb		LS 7.04-- Matplotlib.ipynb
LS 7.04.10 -- Seaborn.ipynb		LS 7.04.10 -- Seaborn.ipynb
LS 7.11.17--Statistics .ipynb		LS 7.11.17--Statistics .ipynb
LS 7.17.18--Scipy.ipynb		LS 7.17.18--Scipy.ipynb
LS 7.24--Statistics -covar-corel .ipynb		LS 7.24--Statistics -covar-corel .ipynb
LS 7.25 -- Machine learning .ipynb		LS 7.25 -- Machine learning .ipynb
LS 7.31 -- ML-EDA1.ipynb		LS 7.31 -- ML-EDA1.ipynb
LS 7.31 -- ML-EDA2.ipynb		LS 7.31 -- ML-EDA2.ipynb
LS 7.31.01 -- ML-Linear regression --Boston data set .ipynb		LS 7.31.01 -- ML-Linear regression --Boston data set .ipynb
LS 8.07.22-- ML-Logistic regression -Breast cancer , AUC_ROC.ipynb		LS 8.07.22-- ML-Logistic regression -Breast cancer , AUC_ROC.ipynb
LS 8.08.14 --ML- Classification -Naive bayes , KNN ,decision tree, SVM.ipynb		LS 8.08.14 --ML- Classification -Naive bayes , KNN ,decision tree, SVM.ipynb
LS 8.21-- regularization.ipynb		LS 8.21-- regularization.ipynb
LS 8.22-- ML-PCA to reduce input lines .ipynb		LS 8.22-- ML-PCA to reduce input lines .ipynb
LS 8.28-- ML-Encoder - onehot encoder , label encoder , simpleimputer,get dummies .ipynb		LS 8.28-- ML-Encoder - onehot encoder , label encoder , simpleimputer,get dummies .ipynb
LS 8.28-- ML-Variable inflation factor .ipynb		LS 8.28-- ML-Variable inflation factor .ipynb
LS 9.04-Imbalanced data set-SMOTE ,.ipynb		LS 9.04-Imbalanced data set-SMOTE ,.ipynb
LS 9.05- Ensemble methods .ipynb		LS 9.05- Ensemble methods .ipynb
LS 9.11- Grid search CV .ipynb		LS 9.11- Grid search CV .ipynb
LS 9.12 -Unsupervised ML .ipynb		LS 9.12 -Unsupervised ML .ipynb
LS 9.12- Unsupervised Machine learning .ipynb		LS 9.12- Unsupervised Machine learning .ipynb
LS 9.18- Pipeline (work flow) , gradient descent .ipynb		LS 9.18- Pipeline (work flow) , gradient descent .ipynb
LS 9.18- Scaling techinique (min-max and Standard scaler ).ipynb		LS 9.18- Scaling techinique (min-max and Standard scaler ).ipynb
LS-R 28.02.22--NLP ( NLTK ).ipynb		LS-R 28.02.22--NLP ( NLTK ).ipynb

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