[ DevCourseWeb.com ] Udemy - Learn Data Mining and Machine Learning with Python

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[ DevCourseWeb.com ] Udemy - Learn Data Mining and Machine Learning with Python

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种子哈希：5be4766d7af4e6ebc6ff6ab01910d536214084f9
文件大小： 3.2G
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收录时间：2022-06-16
最近下载：2025-10-14

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文件列表

  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/024 Create Multiple Linear Regression Model in Python-Part 3.mp4 96.6 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/022 Calculate Confidence Interval in Excel.mp4 82.5 MB
  • ~Get Your Files Here !/02 - Setup Programming Environment/006 Introduction to Pandas Library.mp4 69.3 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/037 Create Logistic Regression Model in Python-Part 1.mp4 66.1 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/025 Create Multiple Linear Regression Model in Python-Part 4.mp4 64.7 MB
  • ~Get Your Files Here !/04 - Unsupervised Learning Algorithms/005 Create Hierarchical Clustering Algorithm in Python-1.mp4 63.7 MB
  • ~Get Your Files Here !/05 - Deep Learning/008 Create Artificial Neural Network Model in Python Part-2.mp4 63.2 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/029 Create Polynomial Regression Model in Python-Part 2.mp4 60.4 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/015 Create Simple Linear Regression Model in Python-Part 5.mp4 59.7 MB
  • ~Get Your Files Here !/04 - Unsupervised Learning Algorithms/006 Create Hierarchical Clustering Algorithm in Python-2.mp4 58.8 MB
  • ~Get Your Files Here !/04 - Unsupervised Learning Algorithms/009 Create K-means Clustering Algorithm Model in Python - 1.mp4 57.7 MB
  • ~Get Your Files Here !/04 - Unsupervised Learning Algorithms/011 Association Rules (Market Basket Analysis).mp4 54.8 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/040 Create KNN Model in Python.mp4 54.5 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/023 Create Multiple Linear Regression Model in Python-Part 2.mp4 53.5 MB
  • ~Get Your Files Here !/04 - Unsupervised Learning Algorithms/008 Using Elbow Method to Determine Optimal Number of Clusters.mp4 51.2 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/028 Create Polynomial Regression Model in Python-Part 1.mp4 51.2 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/042 Create Support Vector Machine in Python.mp4 48.1 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/038 Create Logistic Regression Model in Python-Part 2.mp4 46.9 MB
  • ~Get Your Files Here !/05 - Deep Learning/004 Activation Functions.mp4 45.2 MB
  • ~Get Your Files Here !/05 - Deep Learning/007 Create Artificial Neural Network Model in Python Part-1.mp4 45.1 MB
  • ~Get Your Files Here !/05 - Deep Learning/009 Create Artificial Neural Network Model in Python Part-3.mp4 44.8 MB
  • ~Get Your Files Here !/04 - Unsupervised Learning Algorithms/013 Create Association Rules (Market Basket Analysis) Model in Python - 1.mp4 43.2 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/030 Confidence Interval for two Independent Samples Unknown Population Variance.mp4 42.0 MB
  • ~Get Your Files Here !/02 - Setup Programming Environment/005 Introduction to Python Part-3 (Loops & Functions).mp4 40.4 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/011 Create Simple Linear Regression Model in Python-Part 1.mp4 40.4 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/027 Calculate Confidence Interval for two Dependent Samples in Excel.mp4 40.2 MB
  • ~Get Your Files Here !/04 - Unsupervised Learning Algorithms/014 Create Association Rules (Market Basket Analysis) Model in Python - 2.mp4 39.5 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/029 Calculate Confidence Interval for two Independent Samples Known Var in Excel.mp4 39.4 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/006 Histogram.mp4 38.7 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/017 Dummy Variables.mp4 38.1 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/036 Testing the Hypothesis in Excel.mp4 38.0 MB
  • ~Get Your Files Here !/05 - Deep Learning/001 Introduction to Deep Learning.mp4 37.8 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/049 Create Random Forest Model in Python.mp4 37.8 MB
  • ~Get Your Files Here !/02 - Setup Programming Environment/003 Introduction to Python Part-1(Create Lists).mp4 37.3 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/038 Testing a Hypothesis for two Dependent Samples.mp4 37.3 MB
  • ~Get Your Files Here !/04 - Unsupervised Learning Algorithms/015 Create Association Rules (Market Basket Analysis) Model in Python - 3.mp4 36.4 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/012 Create Simple Linear Regression Model in Python-Part 2.mp4 36.3 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/046 Decision Tree Algorithm.mp4 36.1 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/022 Create Multiple Linear Regression Model in Python-Part 1.mp4 35.3 MB
  • ~Get Your Files Here !/05 - Deep Learning/003 How Does Deep Learning Work.mp4 34.6 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/024 Calculate Confidence Interval for one Sample with a Unknown Population Variance.mp4 33.6 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/020 Assumptions of Multiple Linear Regression.mp4 32.8 MB
  • ~Get Your Files Here !/02 - Setup Programming Environment/002 Introduction to Jupyter.mp4 31.1 MB
  • ~Get Your Files Here !/02 - Setup Programming Environment/001 Install Anaconda package.mp4 31.1 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/004 Regression Model Slope.mp4 31.0 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/033 Introduction to Logistic Regression.mp4 30.5 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/019 Stepwise Approach.mp4 30.2 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/006 R-Squared Value.mp4 30.0 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/044 Naive Bayes Algorithm Part 2.mp4 29.3 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/014 Create Simple Linear Regression Model in Python-Part 4.mp4 28.7 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/013 Create Simple Linear Regression Model in Python-Part 3.mp4 27.2 MB
  • ~Get Your Files Here !/01 - Introduction/001 Introduction to Course.mp4 26.7 MB
  • ~Get Your Files Here !/02 - Setup Programming Environment/007 Introduction to NumPy & Matplotlib Libraries.mp4 26.5 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/040 Testing a Hypothesis for two Independent Samples, Variance is Known.mp4 26.2 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/014 Normal Distribution.mp4 25.1 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/011 Correlation and Covariance.mp4 24.9 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/037 Testing a Hypothesis for one Sample, Variance is Unknown.mp4 24.9 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/017 Introduction to Central Limit Theorem.mp4 24.6 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/041 Testing a Hypothesis for two Independent Samples, Variance is Unknown.mp4 24.3 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/019 Introduction to Confidence Interval.mp4 24.3 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/030 Create Polynomial Regression Model in Python-Part 3.mp4 24.2 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/009 Calculate Central and Variability Measures (Practical).mp4 24.2 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/020 Calculate Confidence Interval for one Sample with a Known Population Variance.mp4 23.9 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/004 Data types.mp4 23.6 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/023 t - Distribution.mp4 22.8 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/045 Create Naive Bayes Model in Python.mp4 22.6 MB
  • ~Get Your Files Here !/02 - Setup Programming Environment/004 Introduction to Python Part-2 (Create Tuples & Dictionaries).mp4 22.6 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/003 Introduction to Regression Analysis.mp4 22.3 MB
  • ~Get Your Files Here !/04 - Unsupervised Learning Algorithms/010 Create K-means Clustering Algorithm Model in Python - 2.mp4 22.0 MB
  • ~Get Your Files Here !/04 - Unsupervised Learning Algorithms/003 Dendrogram Diagram Method.mp4 21.9 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/032 Types of Hypotheses.mp4 21.5 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/032 Introduction to Classification.mp4 20.8 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/043 Naive Bayes Algorithm Part 1.mp4 20.8 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/041 Support Vector Machine (SVM) Classification Algorithm.mp4 19.8 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/047 Create Decision Tree Model in Python.mp4 19.7 MB
  • ~Get Your Files Here !/01 - Introduction/008 How Does Machine Learning Work.mp4 19.6 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/028 Confidence Interval for two Independent Samples with a Known Population Variance.mp4 19.1 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/039 KNN Classification Algorithm.mp4 18.6 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/007 P-Value.mp4 18.3 MB
  • ~Get Your Files Here !/01 - Introduction/009 Machine Learning Algorithms Types.mp4 17.4 MB
  • ~Get Your Files Here !/04 - Unsupervised Learning Algorithms/007 K-means Clustering Algorithm.mp4 17.0 MB
  • ~Get Your Files Here !/01 - Introduction/005 Business Applications of Data Mining.mp4 16.6 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/034 Confusion Matrix.mp4 16.3 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/013 Discrete Probability Distributions.mp4 16.3 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/007 Central Tendency Measures.mp4 15.8 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/016 Multiple Linear Regression.mp4 14.9 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/031 What is a Statistical Hypothesis.mp4 14.6 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/012 Introduction to Inferential Statistics.mp4 14.5 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/008 Variability Measures.mp4 14.1 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/005 Visualize Data.mp4 14.0 MB
  • ~Get Your Files Here !/05 - Deep Learning/002 Use Deep Learning in Classification.mp4 13.9 MB
  • ~Get Your Files Here !/01 - Introduction/010 Reinforcement Learning overview.mp4 13.6 MB
  • ~Get Your Files Here !/01 - Introduction/006 Data Mining Process Pyramid.mp4 13.2 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/035 Standard Scaler.mp4 12.8 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/021 Introduction to the Business Problem.mp4 11.9 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/015 Variable standardization.mp4 11.8 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/026 Polynomial Regression.mp4 11.4 MB
  • ~Get Your Files Here !/05 - Deep Learning/005 What is Tensorflow.mp4 11.3 MB
  • ~Get Your Files Here !/01 - Introduction/007 Introduction to Machine Learning.mp4 11.2 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/033 P-Value.mp4 11.0 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/036 Overview on the business problem data.mp4 10.8 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/010 Symmetry and skewness in data.mp4 10.2 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/002 Types of Variables.mp4 10.0 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/025 Reduce Margin of Error.mp4 10.0 MB
  • ~Get Your Files Here !/01 - Introduction/004 Introduction to Data Mining.mp4 9.7 MB
  • ~Get Your Files Here !/01 - Introduction/002 Course Contents.mp4 9.5 MB
  • ~Get Your Files Here !/05 - Deep Learning/006 Introduction to the Deep Learning Problem and Dataset.mp4 9.4 MB
  • ~Get Your Files Here !/04 - Unsupervised Learning Algorithms/002 Hierarchical Clustering Algorithm.mp4 9.4 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/016 Variable standardization Demo.mp4 9.3 MB
  • ~Get Your Files Here !/04 - Unsupervised Learning Algorithms/001 Review Unsupervised Learning Algorithms.mp4 8.9 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/003 Descriptive and Inferential Statistics.mp4 8.6 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/021 Overview on the business problem data.mp4 8.0 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/035 Testing a Hypothesis for one Sample, Variance is Known.mp4 7.8 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/018 Estimators.mp4 7.8 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/027 Overview on the business problem data.mp4 7.5 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/002 Sample And Population.mp4 7.0 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/001 Introduction to Supervised Learning Algorithms.mp4 6.6 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/048 Random Forest Algorithm.mp4 6.4 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/001 What is Statistics.mp4 6.3 MB
  • ~Get Your Files Here !/02 - Setup Programming Environment/008 Introduction to Scikit-learn Library.mp4 6.0 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/026 Confidence Interval for two Dependent Samples.mp4 5.9 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/010 Overview on the dataset.mp4 5.3 MB
  • ~Get Your Files Here !/04 - Unsupervised Learning Algorithms/004 Overview on the business problem data.mp4 4.4 MB
  • ~Get Your Files Here !/04 - Unsupervised Learning Algorithms/012 Overview on the business problem data.mp4 4.3 MB
  • ~Get Your Files Here !/01 - Introduction/003 Control a pace of a video.mp4 4.0 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/008 Simple Linear Regression.mp4 3.9 MB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/005 The Intercept Value.mp4 3.1 MB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/041 10-Test-hypothises-two-independent-samples-variance-unknown.xlsx 93.3 kB
  • ~Get Your Files Here !/02 - Setup Programming Environment/006 Sales-data.csv 86.0 kB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/030 5-Confidence-intervals-independent-samples-variance-unknown-and-equal.xlsx 71.8 kB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/037 7-Test-hypothises-population-variance-unknown.xlsx 71.3 kB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/036 6-Test-Hypothises-population-variance-known.xlsx 70.7 kB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/040 9-Test-hypothises-two-independent-samples-variance-known.xlsx 70.4 kB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/038 8-Test-hypothises-dependent-samples.xlsx 50.4 kB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/022 1-Confidence-intervals-variance-known.xlsx 46.2 kB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/028 3-Confidence-intervals-dependent-samples.xlsx 38.9 kB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/024 2-Confidence-intervals-variance-unknown.xlsx 38.8 kB
  • ~Get Your Files Here !/05 - Deep Learning/007 Medical-data.csv 24.0 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/036 Bank-Data.csv 17.7 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/040 Bank-Data.csv 17.7 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/047 Bank-Data.csv 17.7 kB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/006 Histogram.xlsx 16.1 kB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/005 Walmart-Stores.xlsx 15.3 kB
  • ~Get Your Files Here !/04 - Unsupervised Learning Algorithms/013 apriori-model.ipynb 11.9 kB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/009 Variance-and-SD.xlsx 11.2 kB
  • ~Get Your Files Here !/04 - Unsupervised Learning Algorithms/011 Association Rules (Market Basket Analysis)_en.vtt 10.2 kB
  • ~Get Your Files Here !/04 - Unsupervised Learning Algorithms/008 Using Elbow Method to Determine Optimal Number of Clusters_en.vtt 10.0 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/025 Create Multiple Linear Regression Model in Python-Part 4_en.vtt 9.6 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/024 Create Multiple Linear Regression Model in Python-Part 3_en.vtt 9.4 kB
  • ~Get Your Files Here !/02 - Setup Programming Environment/006 Introduction to Pandas Library_en.vtt 9.0 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/037 Create Logistic Regression Model in Python-Part 1_en.vtt 8.5 kB
  • ~Get Your Files Here !/04 - Unsupervised Learning Algorithms/005 Create Hierarchical Clustering Algorithm in Python-1_en.vtt 8.5 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/020 Assumptions of Multiple Linear Regression_en.vtt 8.4 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/015 Create Simple Linear Regression Model in Python-Part 5_en.vtt 8.4 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/029 Create Polynomial Regression Model in Python-Part 2_en.vtt 8.3 kB
  • ~Get Your Files Here !/04 - Unsupervised Learning Algorithms/006 Create Hierarchical Clustering Algorithm in Python-2_en.vtt 8.1 kB
  • ~Get Your Files Here !/05 - Deep Learning/008 Create Artificial Neural Network Model in Python Part-2_en.vtt 8.1 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/033 Introduction to Logistic Regression_en.vtt 8.0 kB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/022 Calculate Confidence Interval in Excel_en.vtt 7.8 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/028 Create Polynomial Regression Model in Python-Part 1_en.vtt 7.5 kB
  • ~Get Your Files Here !/02 - Setup Programming Environment/005 Introduction to Python Part-3 (Loops & Functions)_en.vtt 7.4 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/006 R-Squared Value_en.vtt 7.3 kB
  • ~Get Your Files Here !/04 - Unsupervised Learning Algorithms/009 Create K-means Clustering Algorithm Model in Python - 1_en.vtt 7.1 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/046 Decision Tree Algorithm_en.vtt 7.1 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/040 Create KNN Model in Python_en.vtt 7.0 kB
  • ~Get Your Files Here !/05 - Deep Learning/004 Activation Functions_en.vtt 6.4 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/011 Create Simple Linear Regression Model in Python-Part 1_en.vtt 6.4 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/004 Regression Model Slope_en.vtt 6.4 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/042 Create Support Vector Machine in Python_en.vtt 6.3 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/019 Stepwise Approach_en.vtt 6.3 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/044 Naive Bayes Algorithm Part 2_en.vtt 6.2 kB
  • ~Get Your Files Here !/04 - Unsupervised Learning Algorithms/013 Create Association Rules (Market Basket Analysis) Model in Python - 1_en.vtt 6.2 kB
  • ~Get Your Files Here !/05 - Deep Learning/003 How Does Deep Learning Work_en.vtt 6.1 kB
  • ~Get Your Files Here !/05 - Deep Learning/001 Introduction to Deep Learning_en.vtt 6.1 kB
  • ~Get Your Files Here !/02 - Setup Programming Environment/003 Introduction to Python Part-1(Create Lists)_en.vtt 6.0 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/023 Create Multiple Linear Regression Model in Python-Part 2_en.vtt 6.0 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/038 Create Logistic Regression Model in Python-Part 2_en.vtt 5.7 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/012 Create Simple Linear Regression Model in Python-Part 2_en.vtt 5.7 kB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/020 Calculate Confidence Interval for one Sample with a Known Population Variance_en.vtt 5.5 kB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/014 Normal Distribution_en.vtt 5.5 kB
  • ~Get Your Files Here !/05 - Deep Learning/007 Create Artificial Neural Network Model in Python Part-1_en.vtt 5.1 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/017 Dummy Variables_en.vtt 5.1 kB
  • ~Get Your Files Here !/05 - Deep Learning/009 Create Artificial Neural Network Model in Python Part-3_en.vtt 5.0 kB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/019 Introduction to Confidence Interval_en.vtt 4.9 kB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/030 Confidence Interval for two Independent Samples Unknown Population Variance_en.vtt 4.9 kB
  • ~Get Your Files Here !/04 - Unsupervised Learning Algorithms/014 Create Association Rules (Market Basket Analysis) Model in Python - 2_en.vtt 4.8 kB
  • ~Get Your Files Here !/02 - Setup Programming Environment/002 Introduction to Jupyter_en.vtt 4.8 kB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/006 Histogram_en.vtt 4.7 kB
  • ~Get Your Files Here !/04 - Unsupervised Learning Algorithms/003 Dendrogram Diagram Method_en.vtt 4.7 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/043 Naive Bayes Algorithm Part 1_en.vtt 4.7 kB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/011 Correlation and Covariance_en.vtt 4.6 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/014 Create Simple Linear Regression Model in Python-Part 4_en.vtt 4.6 kB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/038 Testing a Hypothesis for two Dependent Samples_en.vtt 4.5 kB
  • ~Get Your Files Here !/01 - Introduction/005 Business Applications of Data Mining_en.vtt 4.5 kB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/029 Calculate Confidence Interval for two Independent Samples Known Var in Excel_en.vtt 4.5 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/022 Create Multiple Linear Regression Model in Python-Part 1_en.vtt 4.4 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/003 Introduction to Regression Analysis_en.vtt 4.4 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/049 Create Random Forest Model in Python_en.vtt 4.4 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/028 Polynomial-Regression-Model.ipynb 4.3 kB
  • ~Get Your Files Here !/02 - Setup Programming Environment/006 3-Import-Libraries.ipynb 4.2 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/032 Introduction to Classification_en.vtt 4.2 kB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/027 Calculate Confidence Interval for two Dependent Samples in Excel_en.vtt 4.1 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/034 Confusion Matrix_en.vtt 4.1 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/049 Random-Forest-Model.ipynb 3.9 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/041 Support Vector Machine (SVM) Classification Algorithm_en.vtt 3.9 kB
  • ~Get Your Files Here !/01 - Introduction/008 How Does Machine Learning Work_en.vtt 3.9 kB
  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/013 Create Simple Linear Regression Model in Python-Part 3_en.vtt 3.9 kB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/040 Testing a Hypothesis for two Independent Samples, Variance is Known_en.vtt 3.9 kB
  • ~Get Your Files Here !/05 - Deep Learning/007 Deep-learning-model.ipynb 3.9 kB
  • ~Get Your Files Here !/06 - Appendix Statistics Overview/023 t - Distribution_en.vtt 3.8 kB
  • ~Get Your Files Here !/02 - Setup Programming Environment/007 Introduction to NumPy & Matplotlib Libraries_en.vtt 3.8 kB
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  • ~Get Your Files Here !/06 - Appendix Statistics Overview/024 Calculate Confidence Interval for one Sample with a Unknown Population Variance_en.vtt 3.6 kB
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  • ~Get Your Files Here !/06 - Appendix Statistics Overview/007 Central Tendency Measures_en.vtt 3.1 kB
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  • ~Get Your Files Here !/05 - Deep Learning/005 What is Tensorflow_en.vtt 2.4 kB
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  • ~Get Your Files Here !/01 - Introduction/001 Introduction to Course_en.vtt 2.4 kB
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  • ~Get Your Files Here !/06 - Appendix Statistics Overview/021 Introduction to the Business Problem_en.vtt 2.3 kB
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  • ~Get Your Files Here !/01 - Introduction/002 Course Contents_en.vtt 1.5 kB
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  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/021 Overview on the business problem data_en.vtt 1.1 kB
  • ~Get Your Files Here !/05 - Deep Learning/006 Introduction to the Deep Learning Problem and Dataset_en.vtt 1.0 kB
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  • ~Get Your Files Here !/01 - Introduction/003 Control a pace of a video_en.vtt 712 Bytes
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  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/018 Dummy Variables Trap.html 612 Bytes
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  • ~Get Your Files Here !/03 - Supervised Learning Algorithms/050 Course Rating.html 493 Bytes
  • ~Get Your Files Here !/05 - Deep Learning/010 Course Rating.html 493 Bytes
  • ~Get Your Files Here !/Bonus Resources.txt 386 Bytes
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  • ~Get Your Files Here !/06 - Appendix Statistics Overview/034 Link to z-value Calculator.html 105 Bytes
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  • ~Get Your Files Here !/05 - Deep Learning/external-links.txt 67 Bytes
  • ~Get Your Files Here !/05 - Deep Learning/009 Link-to-the-Keras-documentation-website..url 41 Bytes

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