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[Udemy] End-To-End Machine Learning Projects&Deployment Mastery 2021 (2020)

磁力链接/BT种子名称

[Udemy] End-To-End Machine Learning Projects&Deployment Mastery 2021 (2020)

磁力链接/BT种子简介

种子哈希:2dc0f6ba40a8d228eb7fe83f1d939acb794719c4
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收录时间:2021-03-07
最近下载:2025-10-01

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文件列表

  • 14 Amazon Web Service(AWS) Deployment/075 PART 1.mp4 561.9 MB
  • 10 Streamlit Project/050 Building Your First Streamlit App-Advance 3.mp4 482.8 MB
  • 13 Google Cloud Deployment/070 GCP Deployment Lesson.mp4 478.9 MB
  • 10 Streamlit Project/047 Building Your First Streamlit App.mp4 454.0 MB
  • 10 Streamlit Project/045 Introduction to Streamlit 2.mp4 420.7 MB
  • 07 BigMart Sales Prediction/035 Feature Engineering, Selection And Transformation.mp4 414.0 MB
  • 07 BigMart Sales Prediction/034 Exploratory Data Analysis (EDA).mp4 401.4 MB
  • 11 Flask Deployment/054 Exploratory Data Analysis (EDA).mp4 367.5 MB
  • 10 Streamlit Project/048 Building Your First Streamlit App-Advance 1.mp4 343.1 MB
  • 12 Heroku Deployment/066 Heroku Deployment 1.mp4 301.1 MB
  • 06 Stock Market Clustering Using K-Means Algorithm/031 Model Building.mp4 283.5 MB
  • 08 Amazon Employee Access Challenge/039 Exploratory Data Analysis (EDA).mp4 282.2 MB
  • 02 Breast Cancer Detection Using SVM And KNN/008 Model Building.mp4 269.5 MB
  • 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/022 Model Building 1.mp4 265.6 MB
  • 11 Flask Deployment/056 Introduction to Flask.mp4 246.1 MB
  • 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/023 Model Building 2.mp4 237.1 MB
  • 15 Microsoft Azure Deployment/078 Azure Deployment.mp4 224.2 MB
  • 11 Flask Deployment/055 Model Building.mp4 221.1 MB
  • 11 Flask Deployment/059 Final Deployment.mp4 213.9 MB
  • 05 Credit Card Fraud Detection-(Dealing With Data Imbalance)/025 Exploratory Data Analysis (EDA).mp4 211.1 MB
  • 10 Streamlit Project/046 Introduction to Streamlit 3.mp4 204.8 MB
  • 02 Breast Cancer Detection Using SVM And KNN/007 Exploratory Data Analysis (EDA).mp4 201.7 MB
  • 08 Amazon Employee Access Challenge/040 Model Building 1.mp4 199.1 MB
  • 10 Streamlit Project/049 Building Your First Streamlit App-Advance 2.mp4 198.5 MB
  • 12 Heroku Deployment/064 Further Data Preparation.mp4 195.7 MB
  • 14 Amazon Web Service(AWS) Deployment/074 App.py File.mp4 195.0 MB
  • 05 Credit Card Fraud Detection-(Dealing With Data Imbalance)/027 Model Building 2.mp4 194.8 MB
  • 06 Stock Market Clustering Using K-Means Algorithm/030 Data Extraction And Analysis.mp4 193.8 MB
  • 11 Flask Deployment/058 Creating Folder Contents.mp4 187.2 MB
  • 11 Flask Deployment/057 Creating The Necessary Folders.mp4 186.8 MB
  • 12 Heroku Deployment/065 Model Building And Hyperparameter Tuning.mp4 176.7 MB
  • 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/019 Exploratory Data Analysis (EDA) 1.mp4 174.5 MB
  • 10 Streamlit Project/044 Introduction to Streamlit 1.mp4 174.2 MB
  • 08 Amazon Employee Access Challenge/041 Model Building 2.mp4 172.2 MB
  • 02 Breast Cancer Detection Using SVM And KNN/006 Data Preprocessing.mp4 167.7 MB
  • 07 BigMart Sales Prediction/036 Model Building.mp4 164.4 MB
  • 03 Bank Note Analysis/012 Bank Note Analysis-Getting Our Dataset Ready For Model Building.mp4 159.6 MB
  • 10 Streamlit Project/043 Demo.mp4 148.5 MB
  • 03 Bank Note Analysis/011 Bank Note Analysis-EDA.mp4 141.8 MB
  • 03 Bank Note Analysis/013 Model Building 1.mp4 135.9 MB
  • 14 Amazon Web Service(AWS) Deployment/076 PART 2.mp4 133.5 MB
  • 03 Bank Note Analysis/014 Model Building 2.mp4 131.9 MB
  • 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/020 Exploratory Data Analysis (EDA) 2.mp4 129.0 MB
  • 12 Heroku Deployment/062 Exploratory Data Analysis (EDA).mp4 117.2 MB
  • 12 Heroku Deployment/063 Feature Engineering.mp4 108.6 MB
  • 05 Credit Card Fraud Detection-(Dealing With Data Imbalance)/026 Model Building 1.mp4 98.1 MB
  • 03 Bank Note Analysis/015 Model Building 3.mp4 97.9 MB
  • 12 Heroku Deployment/067 Heroku Deployment 2.mp4 94.0 MB
  • 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/018 Data Preprocessing.mp4 86.7 MB
  • 11 Flask Deployment/053 Introduction to Dataset.mp4 80.8 MB
  • 02 Breast Cancer Detection Using SVM And KNN/005 Summary Of Dataset.mp4 65.4 MB
  • 11 Flask Deployment/052 Flask Introduction.mp4 52.8 MB
  • 12 Heroku Deployment/061 Heroku Introduction.mp4 52.1 MB
  • 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/021 Feature Engineering.mp4 46.7 MB
  • 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/017 Introduction.mp4 46.5 MB
  • 02 Breast Cancer Detection Using SVM And KNN/004 Introduction.mp4 44.1 MB
  • 07 BigMart Sales Prediction/033 Introduction.mp4 42.7 MB
  • 06 Stock Market Clustering Using K-Means Algorithm/029 Introduction.mp4 38.2 MB
  • 05 Credit Card Fraud Detection-(Dealing With Data Imbalance)/024 Introduction.mp4 37.6 MB
  • 03 Bank Note Analysis/010 Introduction.mp4 36.9 MB
  • 01 Introduction/001 Welcome.mp4 30.6 MB
  • 08 Amazon Employee Access Challenge/038 Introduction.mp4 29.4 MB
  • 14 Amazon Web Service(AWS) Deployment/073 Dataset.mp4 24.0 MB
  • 14 Amazon Web Service(AWS) Deployment/072 AWS Introduction.mp4 22.4 MB
  • 13 Google Cloud Deployment/069 Google Cloud Introduction.mp4 11.5 MB
  • 14 Amazon Web Service(AWS) Deployment/071 AWS-Guide.pdf 4.7 MB
  • 03 Bank Note Analysis/009 BankNoteAnalysisProject-1.html 3.6 MB
  • 13 Google Cloud Deployment/068 google-cloud-guide.pdf 2.6 MB
  • 15 Microsoft Azure Deployment/077 TDS-Microsoft-Azure-Deployment.pdf 2.3 MB
  • 08 Amazon Employee Access Challenge/037 amazontrain-1.csv 2.0 MB
  • 08 Amazon Employee Access Challenge/037 Amazon-EmployeeAceess.html 989.7 kB
  • 02 Breast Cancer Detection Using SVM And KNN/003 BreastCancerProject-1.html 899.5 kB
  • 07 BigMart Sales Prediction/032 train-1.csv 869.5 kB
  • 07 BigMart Sales Prediction/032 test-1.csv 527.7 kB
  • 14 Amazon Web Service(AWS) Deployment/071 marriage.csv 201.8 kB
  • 10 Streamlit Project/047 Building Your First Streamlit App.en.srt 95.3 kB
  • 11 Flask Deployment/054 Exploratory Data Analysis (EDA).en.srt 86.1 kB
  • 10 Streamlit Project/050 Building Your First Streamlit App-Advance 3.en.srt 85.3 kB
  • 07 BigMart Sales Prediction/034 Exploratory Data Analysis (EDA).en.srt 84.7 kB
  • 07 BigMart Sales Prediction/035 Feature Engineering, Selection And Transformation.en.srt 75.7 kB
  • 10 Streamlit Project/045 Introduction to Streamlit 2.en.srt 71.1 kB
  • 10 Streamlit Project/048 Building Your First Streamlit App-Advance 1.en.srt 67.4 kB
  • 13 Google Cloud Deployment/070 GCP Deployment Lesson.en.srt 66.9 kB
  • 14 Amazon Web Service(AWS) Deployment/075 PART 1.en.srt 66.0 kB
  • 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/022 Model Building 1.en.srt 63.6 kB
  • 08 Amazon Employee Access Challenge/039 Exploratory Data Analysis (EDA).en.srt 59.3 kB
  • 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/016 compresive-strength-concrete-2.csv 59.3 kB
  • 06 Stock Market Clustering Using K-Means Algorithm/031 Model Building.en.srt 56.8 kB
  • 12 Heroku Deployment/066 Heroku Deployment 1.en.srt 50.1 kB
  • 05 Credit Card Fraud Detection-(Dealing With Data Imbalance)/025 Exploratory Data Analysis (EDA).en.srt 49.1 kB
  • 11 Flask Deployment/057 Creating The Necessary Folders.en.srt 46.7 kB
  • 03 Bank Note Analysis/009 BankNote-Authentication-1.csv 46.4 kB
  • 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/023 Model Building 2.en.srt 45.4 kB
  • 02 Breast Cancer Detection Using SVM And KNN/008 Model Building.en.srt 44.4 kB
  • 11 Flask Deployment/055 Model Building.en.srt 43.7 kB
  • 01 Introduction/002 Set-Up-Your-Environment.pdf 40.3 kB
  • 10 Streamlit Project/046 Introduction to Streamlit 3.en.srt 38.6 kB
  • 15 Microsoft Azure Deployment/078 Azure Deployment.en.srt 38.5 kB
  • 12 Heroku Deployment/065 Model Building And Hyperparameter Tuning.en.srt 38.5 kB
  • 06 Stock Market Clustering Using K-Means Algorithm/030 Data Extraction And Analysis.en.srt 38.4 kB
  • 10 Streamlit Project/044 Introduction to Streamlit 1.en.srt 37.6 kB
  • 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/019 Exploratory Data Analysis (EDA) 1.en.srt 35.9 kB
  • 12 Heroku Deployment/064 Further Data Preparation.en.srt 35.0 kB
  • 10 Streamlit Project/049 Building Your First Streamlit App-Advance 2.en.srt 35.0 kB
  • 10 Streamlit Project/043 Demo.en.srt 34.3 kB
  • 11 Flask Deployment/059 Final Deployment.en.srt 34.1 kB
  • 08 Amazon Employee Access Challenge/041 Model Building 2.en.srt 33.5 kB
  • 02 Breast Cancer Detection Using SVM And KNN/006 Data Preprocessing.en.srt 33.3 kB
  • 14 Amazon Web Service(AWS) Deployment/071 year-of-marriage.ipynb 32.9 kB
  • 08 Amazon Employee Access Challenge/040 Model Building 1.en.srt 32.5 kB
  • 05 Credit Card Fraud Detection-(Dealing With Data Imbalance)/027 Model Building 2.en.srt 32.0 kB
  • 11 Flask Deployment/058 Creating Folder Contents.en.srt 30.1 kB
  • 03 Bank Note Analysis/012 Bank Note Analysis-Getting Our Dataset Ready For Model Building.en.srt 29.8 kB
  • 03 Bank Note Analysis/011 Bank Note Analysis-EDA.en.srt 29.6 kB
  • 02 Breast Cancer Detection Using SVM And KNN/007 Exploratory Data Analysis (EDA).en.srt 26.7 kB
  • 12 Heroku Deployment/062 Exploratory Data Analysis (EDA).en.srt 26.1 kB
  • 03 Bank Note Analysis/013 Model Building 1.en.srt 25.6 kB
  • 05 Credit Card Fraud Detection-(Dealing With Data Imbalance)/026 Model Building 1.en.srt 25.4 kB
  • 12 Heroku Deployment/063 Feature Engineering.en.srt 25.0 kB
  • 03 Bank Note Analysis/014 Model Building 2.en.srt 24.7 kB
  • 07 BigMart Sales Prediction/036 Model Building.en.srt 24.1 kB
  • 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/020 Exploratory Data Analysis (EDA) 2.en.srt 22.2 kB
  • 14 Amazon Web Service(AWS) Deployment/074 App.py File.en.srt 20.4 kB
  • 02 Breast Cancer Detection Using SVM And KNN/003 breastCancer.csv 20.1 kB
  • 11 Flask Deployment/056 Introduction to Flask.en.srt 19.6 kB
  • 12 Heroku Deployment/067 Heroku Deployment 2.en.srt 17.9 kB
  • 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/018 Data Preprocessing.en.srt 17.7 kB
  • 14 Amazon Web Service(AWS) Deployment/076 PART 2.en.srt 17.6 kB
  • 03 Bank Note Analysis/015 Model Building 3.en.srt 16.7 kB
  • 11 Flask Deployment/053 Introduction to Dataset.en.srt 14.4 kB
  • 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/021 Feature Engineering.en.srt 13.4 kB
  • 14 Amazon Web Service(AWS) Deployment/071 index.html 12.2 kB
  • 02 Breast Cancer Detection Using SVM And KNN/005 Summary Of Dataset.en.srt 10.3 kB
  • 13 Google Cloud Deployment/068 main.py 10.3 kB
  • 12 Heroku Deployment/061 Heroku Introduction.en.srt 9.5 kB
  • 11 Flask Deployment/052 Flask Introduction.en.srt 6.2 kB
  • 11 Flask Deployment/051 Lecture Resources.html 6.0 kB
  • 01 Introduction/001 Welcome.en.srt 5.5 kB
  • 05 Credit Card Fraud Detection-(Dealing With Data Imbalance)/024 Introduction.en.srt 4.5 kB
  • 07 BigMart Sales Prediction/033 Introduction.en.srt 4.3 kB
  • 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/017 Introduction.en.srt 4.2 kB
  • 14 Amazon Web Service(AWS) Deployment/072 AWS Introduction.en.srt 4.0 kB
  • 02 Breast Cancer Detection Using SVM And KNN/004 Introduction.en.srt 3.9 kB
  • 06 Stock Market Clustering Using K-Means Algorithm/029 Introduction.en.srt 3.8 kB
  • 03 Bank Note Analysis/010 Introduction.en.srt 3.8 kB
  • 14 Amazon Web Service(AWS) Deployment/073 Dataset.en.srt 3.6 kB
  • 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/016 Lecture Resources.html 3.5 kB
  • 01 Introduction/002 Steps.html 3.4 kB
  • 02 Breast Cancer Detection Using SVM And KNN/003 Lecture Resources.html 2.9 kB
  • 08 Amazon Employee Access Challenge/038 Introduction.en.srt 2.9 kB
  • 03 Bank Note Analysis/009 Lecture Resources.html 2.6 kB
  • 08 Amazon Employee Access Challenge/037 Lecture Resources.html 2.5 kB
  • 13 Google Cloud Deployment/069 Google Cloud Introduction.en.srt 2.4 kB
  • 10 Streamlit Project/042 Lecture Resources.html 2.0 kB
  • 07 BigMart Sales Prediction/032 Lecture Resources.html 1.8 kB
  • 12 Heroku Deployment/060 Lecture Resources.html 1.6 kB
  • 06 Stock Market Clustering Using K-Means Algorithm/028 Lecture Resources.html 1.6 kB
  • 13 Google Cloud Deployment/068 Lecture Resources.html 1.6 kB
  • 16 Final Project/079 Introduction.html 1.4 kB
  • 15 Microsoft Azure Deployment/077 Lecture Resources.html 992 Bytes
  • 13 Google Cloud Deployment/068 model.pkl 961 Bytes
  • 14 Amazon Web Service(AWS) Deployment/071 Lecture Resources.html 960 Bytes
  • 14 Amazon Web Service(AWS) Deployment/071 app-1.py 799 Bytes
  • 13 Google Cloud Deployment/068 requirements.txt 341 Bytes
  • 06 Stock Market Clustering Using K-Means Algorithm/028 StockMarketClusteringProject-1.ipynb 186 Bytes
  • 08 Amazon Employee Access Challenge/037 amazontest-1.csv 164 Bytes
  • 11 Flask Deployment/external-assets-links.txt 132 Bytes
  • 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/external-assets-links.txt 111 Bytes
  • 12 Heroku Deployment/external-assets-links.txt 104 Bytes
  • 13 Google Cloud Deployment/external-assets-links.txt 89 Bytes
  • 03 Bank Note Analysis/external-assets-links.txt 83 Bytes
  • 15 Microsoft Azure Deployment/external-assets-links.txt 82 Bytes
  • 10 Streamlit Project/external-assets-links.txt 75 Bytes
  • 13 Google Cloud Deployment/068 app.yaml 17 Bytes
  • Rubbish/tmp/lock 0 Bytes

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