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

Creation Time	Jan. 11, 2026, 2:15 p.m.
Last Access Time	Feb. 21, 2026, 8:52 p.m.
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~Get Your Files Here !/03 - Supervised Learning Algorithms/024 Create Multiple Linear Regression Model in Python-Part 3.mp4 92.1 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/022 Calculate Confidence Interval in Excel.mp4 78.7 MB
~Get Your Files Here !/02 - Setup Programming Environment/006 Introduction to Pandas Library.mp4 66.1 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/037 Create Logistic Regression Model in Python-Part 1.mp4 63.1 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/025 Create Multiple Linear Regression Model in Python-Part 4.mp4 61.7 MB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/005 Create Hierarchical Clustering Algorithm in Python-1.mp4 60.7 MB
~Get Your Files Here !/05 - Deep Learning/008 Create Artificial Neural Network Model in Python Part-2.mp4 60.2 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/029 Create Polynomial Regression Model in Python-Part 2.mp4 57.6 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/015 Create Simple Linear Regression Model in Python-Part 5.mp4 56.9 MB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/006 Create Hierarchical Clustering Algorithm in Python-2.mp4 56.1 MB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/009 Create K-means Clustering Algorithm Model in Python - 1.mp4 55.0 MB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/011 Association Rules (Market Basket Analysis).mp4 52.2 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/040 Create KNN Model in Python.mp4 51.9 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/023 Create Multiple Linear Regression Model in Python-Part 2.mp4 51.0 MB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/008 Using Elbow Method to Determine Optimal Number of Clusters.mp4 48.8 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/028 Create Polynomial Regression Model in Python-Part 1.mp4 48.8 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/042 Create Support Vector Machine in Python.mp4 45.8 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/038 Create Logistic Regression Model in Python-Part 2.mp4 44.7 MB
~Get Your Files Here !/05 - Deep Learning/004 Activation Functions.mp4 43.1 MB
~Get Your Files Here !/05 - Deep Learning/007 Create Artificial Neural Network Model in Python Part-1.mp4 43.0 MB
~Get Your Files Here !/05 - Deep Learning/009 Create Artificial Neural Network Model in Python Part-3.mp4 42.7 MB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/013 Create Association Rules (Market Basket Analysis) Model in Python - 1.mp4 41.2 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/030 Confidence Interval for two Independent Samples Unknown Population Variance.mp4 40.0 MB
~Get Your Files Here !/02 - Setup Programming Environment/005 Introduction to Python Part-3 (Loops & Functions).mp4 38.6 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/011 Create Simple Linear Regression Model in Python-Part 1.mp4 38.5 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/027 Calculate Confidence Interval for two Dependent Samples in Excel.mp4 38.3 MB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/014 Create Association Rules (Market Basket Analysis) Model in Python - 2.mp4 37.7 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/029 Calculate Confidence Interval for two Independent Samples Known Var in Excel.mp4 37.6 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/006 Histogram.mp4 36.9 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/017 Dummy Variables.mp4 36.4 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/036 Testing the Hypothesis in Excel.mp4 36.2 MB
~Get Your Files Here !/05 - Deep Learning/001 Introduction to Deep Learning.mp4 36.1 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/049 Create Random Forest Model in Python.mp4 36.0 MB
~Get Your Files Here !/02 - Setup Programming Environment/003 Introduction to Python Part-1(Create Lists).mp4 35.6 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/038 Testing a Hypothesis for two Dependent Samples.mp4 35.5 MB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/015 Create Association Rules (Market Basket Analysis) Model in Python - 3.mp4 34.7 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/012 Create Simple Linear Regression Model in Python-Part 2.mp4 34.6 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/046 Decision Tree Algorithm.mp4 34.5 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/022 Create Multiple Linear Regression Model in Python-Part 1.mp4 33.6 MB
~Get Your Files Here !/05 - Deep Learning/003 How Does Deep Learning Work.mp4 33.0 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/024 Calculate Confidence Interval for one Sample with a Unknown Population Variance.mp4 32.1 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/020 Assumptions of Multiple Linear Regression.mp4 31.3 MB
~Get Your Files Here !/02 - Setup Programming Environment/002 Introduction to Jupyter.mp4 29.7 MB
~Get Your Files Here !/02 - Setup Programming Environment/001 Install Anaconda package.mp4 29.7 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/004 Regression Model Slope.mp4 29.6 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/033 Introduction to Logistic Regression.mp4 29.1 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/019 Stepwise Approach.mp4 28.8 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/006 R-Squared Value.mp4 28.6 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/044 Naive Bayes Algorithm Part 2.mp4 27.9 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/014 Create Simple Linear Regression Model in Python-Part 4.mp4 27.4 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/013 Create Simple Linear Regression Model in Python-Part 3.mp4 26.0 MB
~Get Your Files Here !/01 - Introduction/001 Introduction to Course.mp4 25.4 MB
~Get Your Files Here !/02 - Setup Programming Environment/007 Introduction to NumPy & Matplotlib Libraries.mp4 25.3 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/040 Testing a Hypothesis for two Independent Samples, Variance is Known.mp4 25.0 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/014 Normal Distribution.mp4 24.0 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/011 Correlation and Covariance.mp4 23.8 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/037 Testing a Hypothesis for one Sample, Variance is Unknown.mp4 23.7 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/017 Introduction to Central Limit Theorem.mp4 23.5 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/041 Testing a Hypothesis for two Independent Samples, Variance is Unknown.mp4 23.2 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/019 Introduction to Confidence Interval.mp4 23.2 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/030 Create Polynomial Regression Model in Python-Part 3.mp4 23.1 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/009 Calculate Central and Variability Measures (Practical).mp4 23.0 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/020 Calculate Confidence Interval for one Sample with a Known Population Variance.mp4 22.8 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/004 Data types.mp4 22.5 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/023 t - Distribution.mp4 21.7 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/045 Create Naive Bayes Model in Python.mp4 21.6 MB
~Get Your Files Here !/02 - Setup Programming Environment/004 Introduction to Python Part-2 (Create Tuples & Dictionaries).mp4 21.5 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/003 Introduction to Regression Analysis.mp4 21.3 MB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/010 Create K-means Clustering Algorithm Model in Python - 2.mp4 21.0 MB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/003 Dendrogram Diagram Method.mp4 20.8 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/032 Types of Hypotheses.mp4 20.5 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/032 Introduction to Classification.mp4 19.9 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/043 Naive Bayes Algorithm Part 1.mp4 19.8 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/041 Support Vector Machine (SVM) Classification Algorithm.mp4 18.9 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/047 Create Decision Tree Model in Python.mp4 18.8 MB
~Get Your Files Here !/01 - Introduction/008 How Does Machine Learning Work.mp4 18.7 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/028 Confidence Interval for two Independent Samples with a Known Population Variance.mp4 18.2 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/039 KNN Classification Algorithm.mp4 17.8 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/007 P-Value.mp4 17.4 MB
~Get Your Files Here !/01 - Introduction/009 Machine Learning Algorithms Types.mp4 16.6 MB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/007 K-means Clustering Algorithm.mp4 16.2 MB
~Get Your Files Here !/01 - Introduction/005 Business Applications of Data Mining.mp4 15.9 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/034 Confusion Matrix.mp4 15.6 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/013 Discrete Probability Distributions.mp4 15.5 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/007 Central Tendency Measures.mp4 15.1 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/016 Multiple Linear Regression.mp4 14.2 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/031 What is a Statistical Hypothesis.mp4 14.0 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/012 Introduction to Inferential Statistics.mp4 13.8 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/008 Variability Measures.mp4 13.4 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/005 Visualize Data.mp4 13.4 MB
~Get Your Files Here !/05 - Deep Learning/002 Use Deep Learning in Classification.mp4 13.2 MB
~Get Your Files Here !/01 - Introduction/010 Reinforcement Learning overview.mp4 12.9 MB
~Get Your Files Here !/01 - Introduction/006 Data Mining Process Pyramid.mp4 12.6 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/035 Standard Scaler.mp4 12.2 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/021 Introduction to the Business Problem.mp4 11.4 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/015 Variable standardization.mp4 11.2 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/026 Polynomial Regression.mp4 10.9 MB
~Get Your Files Here !/05 - Deep Learning/005 What is Tensorflow.mp4 10.8 MB
~Get Your Files Here !/01 - Introduction/007 Introduction to Machine Learning.mp4 10.6 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/033 P-Value.mp4 10.5 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/036 Overview on the business problem data.mp4 10.3 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/010 Symmetry and skewness in data.mp4 9.7 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/002 Types of Variables.mp4 9.6 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/025 Reduce Margin of Error.mp4 9.5 MB
~Get Your Files Here !/01 - Introduction/004 Introduction to Data Mining.mp4 9.3 MB
~Get Your Files Here !/01 - Introduction/002 Course Contents.mp4 9.0 MB
~Get Your Files Here !/05 - Deep Learning/006 Introduction to the Deep Learning Problem and Dataset.mp4 9.0 MB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/002 Hierarchical Clustering Algorithm.mp4 8.9 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/016 Variable standardization Demo.mp4 8.9 MB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/001 Review Unsupervised Learning Algorithms.mp4 8.5 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/003 Descriptive and Inferential Statistics.mp4 8.2 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/021 Overview on the business problem data.mp4 7.6 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/035 Testing a Hypothesis for one Sample, Variance is Known.mp4 7.4 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/018 Estimators.mp4 7.4 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/027 Overview on the business problem data.mp4 7.2 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/002 Sample And Population.mp4 6.6 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/001 Introduction to Supervised Learning Algorithms.mp4 6.3 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/048 Random Forest Algorithm.mp4 6.1 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/001 What is Statistics.mp4 6.1 MB
~Get Your Files Here !/02 - Setup Programming Environment/008 Introduction to Scikit-learn Library.mp4 5.7 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/026 Confidence Interval for two Dependent Samples.mp4 5.6 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/010 Overview on the dataset.mp4 5.1 MB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/004 Overview on the business problem data.mp4 4.2 MB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/012 Overview on the business problem data.mp4 4.1 MB
~Get Your Files Here !/01 - Introduction/003 Control a pace of a video.mp4 3.8 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/008 Simple Linear Regression.mp4 3.7 MB
~Get Your Files Here !/03 - Supervised Learning Algorithms/005 The Intercept Value.mp4 2.9 MB
~Get Your Files Here !/06 - Appendix Statistics Overview/041 10-Test-hypothises-two-independent-samples-variance-unknown.xlsx 91.1 KB
~Get Your Files Here !/02 - Setup Programming Environment/006 Sales-data.csv 84.0 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/030 5-Confidence-intervals-independent-samples-variance-unknown-and-equal.xlsx 70.1 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/037 7-Test-hypothises-population-variance-unknown.xlsx 69.7 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/036 6-Test-Hypothises-population-variance-known.xlsx 69.1 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/040 9-Test-hypothises-two-independent-samples-variance-known.xlsx 68.7 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/038 8-Test-hypothises-dependent-samples.xlsx 49.2 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/022 1-Confidence-intervals-variance-known.xlsx 45.2 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/028 3-Confidence-intervals-dependent-samples.xlsx 38.0 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/024 2-Confidence-intervals-variance-unknown.xlsx 37.9 KB
~Get Your Files Here !/05 - Deep Learning/007 Medical-data.csv 23.5 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/036 Bank-Data.csv 17.2 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/040 Bank-Data.csv 17.2 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/047 Bank-Data.csv 17.2 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/006 Histogram.xlsx 15.7 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/005 Walmart-Stores.xlsx 14.9 KB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/013 apriori-model.ipynb 11.6 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/009 Variance-and-SD.xlsx 10.9 KB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/011 Association Rules (Market Basket Analysis)_en.vtt 10.0 KB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/008 Using Elbow Method to Determine Optimal Number of Clusters_en.vtt 9.8 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/025 Create Multiple Linear Regression Model in Python-Part 4_en.vtt 9.4 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/024 Create Multiple Linear Regression Model in Python-Part 3_en.vtt 9.1 KB
~Get Your Files Here !/02 - Setup Programming Environment/006 Introduction to Pandas Library_en.vtt 8.8 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/037 Create Logistic Regression Model in Python-Part 1_en.vtt 8.3 KB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/005 Create Hierarchical Clustering Algorithm in Python-1_en.vtt 8.3 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/020 Assumptions of Multiple Linear Regression_en.vtt 8.2 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/015 Create Simple Linear Regression Model in Python-Part 5_en.vtt 8.2 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/029 Create Polynomial Regression Model in Python-Part 2_en.vtt 8.1 KB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/006 Create Hierarchical Clustering Algorithm in Python-2_en.vtt 7.9 KB
~Get Your Files Here !/05 - Deep Learning/008 Create Artificial Neural Network Model in Python Part-2_en.vtt 7.9 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/033 Introduction to Logistic Regression_en.vtt 7.8 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/022 Calculate Confidence Interval in Excel_en.vtt 7.6 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/028 Create Polynomial Regression Model in Python-Part 1_en.vtt 7.3 KB
~Get Your Files Here !/02 - Setup Programming Environment/005 Introduction to Python Part-3 (Loops & Functions)_en.vtt 7.2 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/006 R-Squared Value_en.vtt 7.1 KB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/009 Create K-means Clustering Algorithm Model in Python - 1_en.vtt 6.9 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/046 Decision Tree Algorithm_en.vtt 6.9 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/040 Create KNN Model in Python_en.vtt 6.8 KB
~Get Your Files Here !/05 - Deep Learning/004 Activation Functions_en.vtt 6.3 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/011 Create Simple Linear Regression Model in Python-Part 1_en.vtt 6.3 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/004 Regression Model Slope_en.vtt 6.2 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/042 Create Support Vector Machine in Python_en.vtt 6.2 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/019 Stepwise Approach_en.vtt 6.1 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/044 Naive Bayes Algorithm Part 2_en.vtt 6.1 KB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/013 Create Association Rules (Market Basket Analysis) Model in Python - 1_en.vtt 6.0 KB
~Get Your Files Here !/05 - Deep Learning/003 How Does Deep Learning Work_en.vtt 6.0 KB
~Get Your Files Here !/05 - Deep Learning/001 Introduction to Deep Learning_en.vtt 5.9 KB
~Get Your Files Here !/02 - Setup Programming Environment/003 Introduction to Python Part-1(Create Lists)_en.vtt 5.9 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/023 Create Multiple Linear Regression Model in Python-Part 2_en.vtt 5.8 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/038 Create Logistic Regression Model in Python-Part 2_en.vtt 5.6 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/012 Create Simple Linear Regression Model in Python-Part 2_en.vtt 5.5 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/020 Calculate Confidence Interval for one Sample with a Known Population Variance_en.vtt 5.3 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/014 Normal Distribution_en.vtt 5.3 KB
~Get Your Files Here !/05 - Deep Learning/007 Create Artificial Neural Network Model in Python Part-1_en.vtt 5.0 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/017 Dummy Variables_en.vtt 5.0 KB
~Get Your Files Here !/05 - Deep Learning/009 Create Artificial Neural Network Model in Python Part-3_en.vtt 4.9 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/019 Introduction to Confidence Interval_en.vtt 4.8 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/030 Confidence Interval for two Independent Samples Unknown Population Variance_en.vtt 4.7 KB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/014 Create Association Rules (Market Basket Analysis) Model in Python - 2_en.vtt 4.7 KB
~Get Your Files Here !/02 - Setup Programming Environment/002 Introduction to Jupyter_en.vtt 4.7 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/006 Histogram_en.vtt 4.6 KB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/003 Dendrogram Diagram Method_en.vtt 4.6 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/043 Naive Bayes Algorithm Part 1_en.vtt 4.5 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/011 Correlation and Covariance_en.vtt 4.5 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/014 Create Simple Linear Regression Model in Python-Part 4_en.vtt 4.5 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/038 Testing a Hypothesis for two Dependent Samples_en.vtt 4.4 KB
~Get Your Files Here !/01 - Introduction/005 Business Applications of Data Mining_en.vtt 4.4 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/029 Calculate Confidence Interval for two Independent Samples Known Var in Excel_en.vtt 4.4 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/022 Create Multiple Linear Regression Model in Python-Part 1_en.vtt 4.3 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/003 Introduction to Regression Analysis_en.vtt 4.3 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/049 Create Random Forest Model in Python_en.vtt 4.3 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/028 Polynomial-Regression-Model.ipynb 4.2 KB
~Get Your Files Here !/02 - Setup Programming Environment/006 3-Import-Libraries.ipynb 4.1 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/032 Introduction to Classification_en.vtt 4.1 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/027 Calculate Confidence Interval for two Dependent Samples in Excel_en.vtt 4.0 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/034 Confusion Matrix_en.vtt 4.0 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/049 Random-Forest-Model.ipynb 3.8 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/041 Support Vector Machine (SVM) Classification Algorithm_en.vtt 3.8 KB
~Get Your Files Here !/01 - Introduction/008 How Does Machine Learning Work_en.vtt 3.8 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/013 Create Simple Linear Regression Model in Python-Part 3_en.vtt 3.8 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/040 Testing a Hypothesis for two Independent Samples, Variance is Known_en.vtt 3.8 KB
~Get Your Files Here !/05 - Deep Learning/007 Deep-learning-model.ipynb 3.8 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 3.7 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/007 P-Value_en.vtt 3.7 KB
~Get Your Files Here !/01 - Introduction/009 Machine Learning Algorithms Types_en.vtt 3.7 KB
~Get Your Files Here !/02 - Setup Programming Environment/003 1-Create-Lists-Tuples-and-Dictionaries.ipynb 3.6 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/036 Testing the Hypothesis in Excel_en.vtt 3.6 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/022 Multiple-Linear-Regression.ipynb 3.6 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/004 Data types_en.vtt 3.6 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/037 Logistic-Regression-Model.ipynb 3.6 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/032 Types of Hypotheses_en.vtt 3.6 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/040 KNN-Model.ipynb 3.6 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/039 KNN Classification Algorithm_en.vtt 3.6 KB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/007 K-means Clustering Algorithm_en.vtt 3.6 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/024 Calculate Confidence Interval for one Sample with a Unknown Population Variance_en.vtt 3.5 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/030 Create Polynomial Regression Model in Python-Part 3_en.vtt 3.5 KB
~Get Your Files Here !/02 - Setup Programming Environment/001 Install Anaconda package_en.vtt 3.5 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/011 Simple-Linear-Regression.ipynb 3.4 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/017 Introduction to Central Limit Theorem_en.vtt 3.3 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/008 Variability Measures_en.vtt 3.2 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/021 Companies-spends-and-profits.csv 3.2 KB
~Get Your Files Here !/02 - Setup Programming Environment/004 Introduction to Python Part-2 (Create Tuples & Dictionaries)_en.vtt 3.2 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/009 Calculate Central and Variability Measures (Practical)_en.vtt 3.2 KB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/015 Create Association Rules (Market Basket Analysis) Model in Python - 3_en.vtt 3.1 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/041 Testing a Hypothesis for two Independent Samples, Variance is Unknown_en.vtt 3.1 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/007 Central Tendency Measures_en.vtt 3.1 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/013 Discrete Probability Distributions_en.vtt 3.0 KB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/010 Create K-means Clustering Algorithm Model in Python - 2_en.vtt 3.0 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/035 Standard Scaler_en.vtt 3.0 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/037 Testing a Hypothesis for one Sample, Variance is Unknown_en.vtt 2.8 KB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/002 Hierarchical Clustering Algorithm_en.vtt 2.8 KB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/005 HC-Clustering.ipynb 2.8 KB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/009 K-means-clustering-model.ipynb 2.8 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/028 Confidence Interval for two Independent Samples with a Known Population Variance_en.vtt 2.7 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/016 Multiple Linear Regression_en.vtt 2.6 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/047 Decision-Tree-Model.ipynb 2.6 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/045 Naive-Bayes-Model.ipynb 2.5 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/015 Variable standardization_en.vtt 2.5 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/045 Create Naive Bayes Model in Python_en.vtt 2.5 KB
~Get Your Files Here !/02 - Setup Programming Environment/005 2-Loops-in-Python.ipynb 2.4 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/002 Types of Variables_en.vtt 2.4 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/026 Polynomial Regression_en.vtt 2.4 KB
~Get Your Files Here !/05 - Deep Learning/005 What is Tensorflow_en.vtt 2.4 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/025 Reduce Margin of Error_en.vtt 2.4 KB
~Get Your Files Here !/01 - Introduction/001 Introduction to Course_en.vtt 2.3 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/031 What is a Statistical Hypothesis_en.vtt 2.3 KB
~Get Your Files Here !/05 - Deep Learning/002 Use Deep Learning in Classification_en.vtt 2.3 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/021 Introduction to the Business Problem_en.vtt 2.2 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/047 Create Decision Tree Model in Python_en.vtt 2.2 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/033 P-Value_en.vtt 2.2 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/042 Support-Vector-Machine.ipynb 2.1 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/012 Introduction to Inferential Statistics_en.vtt 2.1 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/005 Visualize Data_en.vtt 2.0 KB
~Get Your Files Here !/01 - Introduction/007 Introduction to Machine Learning_en.vtt 2.0 KB
~Get Your Files Here !/01 - Introduction/004 Introduction to Data Mining_en.vtt 2.0 KB
~Get Your Files Here !/01 - Introduction/006 Data Mining Process Pyramid_en.vtt 2.0 KB
~Get Your Files Here !/01 - Introduction/010 Reinforcement Learning overview_en.vtt 2.0 KB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/012 GroceryStoreDataSet.csv 1.8 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/010 Symmetry and skewness in data_en.vtt 1.7 KB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/004 Movies.csv 1.7 KB
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/001 Review Unsupervised Learning Algorithms_en.vtt 1.6 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/003 Descriptive and Inferential Statistics_en.vtt 1.6 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/036 Overview on the business problem data_en.vtt 1.6 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/035 Testing a Hypothesis for one Sample, Variance is Known_en.vtt 1.5 KB
~Get Your Files Here !/01 - Introduction/002 Course Contents_en.vtt 1.5 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/001 What is Statistics_en.vtt 1.4 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/018 Estimators_en.vtt 1.4 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/048 Random Forest Algorithm_en.vtt 1.3 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/026 Confidence Interval for two Dependent Samples_en.vtt 1.3 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/001 Introduction to Supervised Learning Algorithms_en.vtt 1.2 KB
~Get Your Files Here !/06 - Appendix Statistics Overview/002 Sample And Population_en.vtt 1.2 KB
~Get Your Files Here !/03 - Supervised Learning Algorithms/027 Overview on the business problem data_en.vtt 1.1 KB
~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 1016 bytes
~Get Your Files Here !/06 - Appendix Statistics Overview/016 Variable standardization Demo_en.vtt 940 bytes
~Get Your Files Here !/03 - Supervised Learning Algorithms/008 Simple Linear Regression_en.vtt 870 bytes
~Get Your Files Here !/02 - Setup Programming Environment/008 Introduction to Scikit-learn Library_en.vtt 818 bytes
~Get Your Files Here !/03 - Supervised Learning Algorithms/010 Overview on the dataset_en.vtt 797 bytes
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/012 Overview on the business problem data_en.vtt 729 bytes
~Get Your Files Here !/04 - Unsupervised Learning Algorithms/004 Overview on the business problem data_en.vtt 716 bytes
~Get Your Files Here !/01 - Introduction/003 Control a pace of a video_en.vtt 712 bytes
~Get Your Files Here !/03 - Supervised Learning Algorithms/005 The Intercept Value_en.vtt 636 bytes
~Get Your Files Here !/03 - Supervised Learning Algorithms/018 Dummy Variables Trap.html 612 bytes
~Get Your Files Here !/01 - Introduction/011 Course Rating.html 493 bytes
~Get Your Files Here !/03 - Supervised Learning Algorithms/031 Course Rating.html 493 bytes
~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
~Get Your Files Here !/03 - Supervised Learning Algorithms/010 Study-Hours.csv 287 bytes
~Get Your Files Here !/03 - Supervised Learning Algorithms/009 Concepts used in Machine Learning (Important).html 228 bytes
~Get Your Files Here !/03 - Supervised Learning Algorithms/027 Reward-system.csv 213 bytes
Get Bonus Downloads Here.url 182 bytes
~Get Your Files Here !/06 - Appendix Statistics Overview/034 Link to z-value Calculator.html 105 bytes
~Get Your Files Here !/06 - Appendix Statistics Overview/039 Link to t-value Calculator.html 99 bytes
~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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