ztdl-masterclasses
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Download Latest Version (.zip)- australian_credit.csv
- banknotes.csv
- churn.csv
- dpc-covid19-ita-regioni.csv
- FDIC_ Failed Bank List.htm
- gdp.json
- geoloc_elev.csv
- housing-data.csv
- iris.csv
- isp_data.csv
- ita-eng.zip
- Ontario_energy_demand_2003-2016.csv.gz
- rotten_tomatoes_negative_reviews.txt.gz
- rotten_tomatoes_positive_reviews.txt.gz
- sms.tsv
- time_series_covid19_confirmed_global.csv
- time_series_covid19_confirmed_US.csv
- titanic-train.csv
- weight-height.csv
- wifi_location.csv
- wikipedia_languages.csv
- Attention_with_Keras.ipynb
- Bag_of_Words_Features_for_Text.ipynb
- Classification_with_Scikit_Learn.ipynb
- Clustering_with_Scikit_Learn.ipynb
- Convolutional_Neural_Networks.ipynb
- Data_Augmentation.ipynb
- Data_Manipulation_with_Pandas.ipynb
- Feature_Engineering_with_Scikit_Learn.ipynb
- Gradient_Boosting_with_XGBoost_and_LightGBM.ipynb
- Hyperparameter_tuning.ipynb
- Image_Classification.ipynb
- Image_Search.ipynb
- Intro_to_Python_1.ipynb
- Intro_to_Python_2.ipynb
- Introduction_to_Deep_Learning_with_Keras.ipynb
- Keras_Functional_API_and_Model_Inspection.ipynb
- Machine_Learning_with_Scikit_Learn.ipynb
- Machine_Translation_with_Recurrent_Neural_Networks.ipynb
- Model_Evaluation_and_Dimensionality_Reduction_with_Scikit_Learn.ipynb
- Model_Serving_with_Flask.ipynb
- Natural_Language_Processing.ipynb
- Neural_Networks_with_Keras.ipynb
- Pandas_Matplotlib_Seaborn.ipynb
- Pre-trained_Models.ipynb
- Python_Quick_Recap.ipynb
- Real_World_ML_Ads_Classification.ipynb
- Real_World_ML_Car_Prices_Regression.ipynb
- Regression_with_Scikit_Learn.ipynb
- Sentiment_Classification_with_Recurrent_Neural_Networks.ipynb
- The_Power_of_TensorFlow.ipynb
- Time_Series_Forecasting.ipynb
- Transfer_Learning.ipynb
- Word_Embeddings.ipynb
- Word_Embeddings_with_Gensim.ipynb
- Attention_with_Keras_solution.ipynb
- Bag_of_Words_Features_for_Text_solution.ipynb
- Classification_with_Scikit_Learn_solution.ipynb
- Clustering_with_Scikit_Learn_solution.ipynb
- Convolutional_Neural_Networks_solution.ipynb
- Data_Augmentation_solution.ipynb
- Data_Manipulation_with_Pandas_solution.ipynb
- Feature_Engineering_with_Scikit_Learn_solution.ipynb
- Gradient_Boosting_with_XGBoost_and_LightGBM_solution.ipynb
- Hyperparameter_tuning_solution.ipynb
- Image_Classification_solution.ipynb
- Image_Search_solution.ipynb
- Intro_to_Python_1_solution.ipynb
- Intro_to_Python_2_solution.ipynb
- Introduction_to_Deep_Learning_with_Keras_solution.ipynb
- Keras_Functional_API_and_Model_Inspection_solution.ipynb
- Machine_Learning_with_Scikit_Learn_solution.ipynb
- Machine_Translation_with_Recurrent_Neural_Networks_solution.ipynb
- Model_Evaluation_and_Dimensionality_Reduction_with_Scikit_Learn_solution.ipynb
- Model_Serving_with_Flask_solution.ipynb
- Natural_Language_Processing_solution.ipynb
- Neural_Networks_with_Keras_solution.ipynb
- Pandas_Matplotlib_Seaborn_solution.ipynb
- Pre-trained_Models_solution.ipynb
- Python_Quick_Recap_solution.ipynb
- README.md
- Real_World_ML_Ads_Classification_solution.ipynb
- Real_World_ML_Car_Prices_Regression_solution.ipynb
- Regression_with_Scikit_Learn_solution.ipynb
- Sentiment_Classification_with_Recurrent_Neural_Networks_solution.ipynb
- The_Power_of_TensorFlow_solution.ipynb
- Time_Series_Forecasting_solution.ipynb
- Transfer_Learning_solution.ipynb
- Word_Embeddings_solution.ipynb
- Word_Embeddings_with_Gensim_solution.ipynb
- test_nb.py
- .gitignore
- LICENSE
- README.md
// repository documentation
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