Download Udemy - Data Science - Credit Card Fraud Detection - Model Building Torrent

Torrent Contents Size: 884.2 MB

Udemy - Data Science - Credit Card Fraud Detection - Model Building

▼ show more 54 files

001 About Confusion Matrix, Classification Report, AUC-ROC.mp4	MP4	27.1 MB
001 About Confusion Matrix, Classification Report, AUC-ROC_en.srt	SRT	6.6 KB
001 About RepeatedKFold and StratifiedKFold.mp4	MP4	7 MB
001 About RepeatedKFold and StratifiedKFold_en.srt	SRT	2.1 KB
001 Checking the class distribution of the target variable.mp4	MP4	21.1 MB
001 Checking the class distribution of the target variable_en.srt	SRT	4 KB
001 Full Project Code.html	HTML	0 B
001 Importing Libraries.mp4	MP4	4.9 MB
001 Importing Libraries_en.srt	SRT	2.3 KB
001 Project Overview.mp4	MP4	3.9 MB
001 Project Overview_en.srt	SRT	1.5 KB
001 Train Test Split.mp4	MP4	11.3 MB
001 Train Test Split_en.srt	SRT	2 KB
002 Created a common function to plot confusion matrix.mp4	MP4	33.3 MB
002 Created a common function to plot confusion matrix_en.srt	SRT	6.3 KB
002 Finding correlation and plotting Heat Map.mp4	MP4	26 MB
002 Finding correlation and plotting Heat Map_en.srt	SRT	2.9 KB
002 High Level Overview of the steps to be performed.mp4	MP4	27 MB
002 High Level Overview of the steps to be performed_en.srt	SRT	4.9 KB
002 Loading the data from source.mp4	MP4	13.1 MB
002 Loading the data from source_en.srt	SRT	2.3 KB
002 Performing cross validation with RepeatedKFold and Model Evaluation.mp4	MP4	61 MB
002 Performing cross validation with RepeatedKFold and Model Evaluation_en.srt	SRT	8.8 KB
002 Plotting the distribution of a variable.mp4	MP4	13.4 MB
002 Plotting the distribution of a variable_en.srt	SRT	2.7 KB
003 About Logistic Regression, KNN, Tree, Random Forest, XGBoost, SVM models.mp4	MP4	20.3 MB
003 About Logistic Regression, KNN, Tree, Random Forest, XGBoost, SVM models_en.srt	SRT	5 KB
003 Installing Packages.mp4	MP4	19.2 MB
003 Installing Packages_en.srt	SRT	5.1 KB
003 Performing Feature engineering.mp4	MP4	19.5 MB
003 Performing Feature engineering_en.srt	SRT	3.3 KB
003 Performing cross validation with StratifiedKFold and Model Evaluation.mp4	MP4	11.7 MB
003 Performing cross validation with StratifiedKFold and Model Evaluation_en.srt	SRT	4.3 KB
003 Understanding the data.mp4	MP4	17.1 MB
003 Understanding the data_en.srt	SRT	2.4 KB
004 Created a common function to fit and predict on a Logistic Regression model.mp4	MP4	61.3 MB
004 Created a common function to fit and predict on a Logistic Regression model_en.srt	SRT	10.3 KB
004 Proceeding with the model which shows the best result till now.mp4	MP4	34.1 MB
004 Proceeding with the model which shows the best result till now_en.srt	SRT	6.4 KB
005 About Random Oversampler, SMOTE, ADASYN.mp4	MP4	24.1 MB
005 About Random Oversampler, SMOTE, ADASYN_en.srt	SRT	4.3 KB
005 Created a common function to fit and predict on a KNN model.mp4	MP4	34.7 MB
005 Created a common function to fit and predict on a KNN model_en.srt	SRT	6.7 KB
006 Created a common function to fit and predict on a Tree models.mp4	MP4	23.7 MB
006 Created a common function to fit and predict on a Tree models_en.srt	SRT	3.9 KB
006 Performing Oversampling with Random Oversampler with StratifiedKFold.mp4	MP4	33.7 MB
006 Performing Oversampling with Random Oversampler with StratifiedKFold_en.srt	SRT	5.5 KB
007 Created a common function to fit and predict on a Random Forest model.mp4	MP4	19.1 MB
007 Created a common function to fit and predict on a Random Forest model_en.srt	SRT	3.6 KB
007 Performing oversampling with SMOTE and Model Evaluation.mp4	MP4	33.6 MB
007 Performing oversampling with SMOTE and Model Evaluation_en.srt	SRT	5.1 KB
008 Created a common function to fit and predict on a XGBoost model.mp4	MP4	15.2 MB
008 Created a common function to fit and predict on a XGBoost model_en.srt	SRT	2.3 KB
008 Performing oversampling with ADASYN and Model Evaluation.mp4	MP4	27.9 MB
008 Performing oversampling with ADASYN and Model Evaluation_en.srt	SRT	4.4 KB
009 Created a common function to fit and predict on a SVM model.mp4	MP4	26.7 MB
009 Created a common function to fit and predict on a SVM model_en.srt	SRT	4.5 KB
009 Hyperparameter Tuning.mp4	MP4	35.9 MB
009 Hyperparameter Tuning_en.srt	SRT	5.9 KB
010 Extracting most important features.mp4	MP4	17.1 MB
010 Extracting most important features_en.srt	SRT	2.9 KB
011 Final Inference.mp4	MP4	14.1 MB
011 Final Inference_en.srt	SRT	3.4 KB
Bonus Resources.txt	TXT	307.2 B
Credit_Card_Fraud_Detection.ipynb	IPYNB	2.1 MB
Get Bonus Downloads Here.url	URL	204.8 B
Kaggle Link.txt	TXT	0 B
creditcard.csv	CSV	143.8 MB
requirements.txt	TXT	102.4 B

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Udemy - Data Science - Credit Card Fraud Detection - Model Building

Torrent Contents Size: 884.2 MB

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