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[ DevCourseWeb com ] Udemy - Learn Data Mining and Machine Learning with Python
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01 - Introduction
001 Introduction to Course.mp4
001 Introduction to Course_en.vtt
002 Course Contents.mp4
002 Course Contents_en.vtt
003 Control a pace of a video.mp4
003 Control a pace of a video_en.vtt
004 Introduction to Data Mining.mp4
004 Introduction to Data Mining_en.vtt
005 Business Applications of Data Mining.mp4
005 Business Applications of Data Mining_en.vtt
006 Data Mining Process Pyramid.mp4
006 Data Mining Process Pyramid_en.vtt
007 Introduction to Machine Learning.mp4
007 Introduction to Machine Learning_en.vtt
008 How Does Machine Learning Work.mp4
008 How Does Machine Learning Work_en.vtt
009 Machine Learning Algorithms Types.mp4
009 Machine Learning Algorithms Types_en.vtt
010 Reinforcement Learning overview.mp4
010 Reinforcement Learning overview_en.vtt
011 Course Rating.html
02 - Setup Programming Environment
001 Install Anaconda package.mp4
001 Install Anaconda package_en.vtt
002 Introduction to Jupyter.mp4
002 Introduction to Jupyter_en.vtt
003 1-Create-Lists-Tuples-and-Dictionaries.ipynb
003 Introduction to Python Part-1(Create Lists).mp4
003 Introduction to Python Part-1(Create Lists)_en.vtt
004 Introduction to Python Part-2 (Create Tuples & Dictionaries).mp4
004 Introduction to Python Part-2 (Create Tuples & Dictionaries)_en.vtt
005 2-Loops-in-Python.ipynb
005 Introduction to Python Part-3 (Loops & Functions).mp4
005 Introduction to Python Part-3 (Loops & Functions)_en.vtt
006 3-Import-Libraries.ipynb
006 Introduction to Pandas Library.mp4
006 Introduction to Pandas Library_en.vtt
006 Sales-data.csv
007 Introduction to NumPy & Matplotlib Libraries.mp4
007 Introduction to NumPy & Matplotlib Libraries_en.vtt
008 Introduction to Scikit-learn Library.mp4
008 Introduction to Scikit-learn Library_en.vtt
03 - Supervised Learning Algorithms
001 Introduction to Supervised Learning Algorithms.mp4
001 Introduction to Supervised Learning Algorithms_en.vtt
002 Types of Variables.mp4
002 Types of Variables_en.vtt
003 Introduction to Regression Analysis.mp4
003 Introduction to Regression Analysis_en.vtt
004 Regression Model Slope.mp4
004 Regression Model Slope_en.vtt
005 The Intercept Value.mp4
005 The Intercept Value_en.vtt
006 R-Squared Value.mp4
006 R-Squared Value_en.vtt
007 P-Value.mp4
007 P-Value_en.vtt
008 Simple Linear Regression.mp4
008 Simple Linear Regression_en.vtt
009 Concepts used in Machine Learning (Important).html
010 Overview on the dataset.mp4
010 Overview on the dataset_en.vtt
010 Study-Hours.csv
011 Create Simple Linear Regression Model in Python-Part 1.mp4
011 Create Simple Linear Regression Model in Python-Part 1_en.vtt
011 Simple-Linear-Regression.ipynb
012 Create Simple Linear Regression Model in Python-Part 2.mp4
012 Create Simple Linear Regression Model in Python-Part 2_en.vtt
013 Create Simple Linear Regression Model in Python-Part 3.mp4
013 Create Simple Linear Regression Model in Python-Part 3_en.vtt
014 Create Simple Linear Regression Model in Python-Part 4.mp4
014 Create Simple Linear Regression Model in Python-Part 4_en.vtt
015 Create Simple Linear Regression Model in Python-Part 5.mp4
015 Create Simple Linear Regression Model in Python-Part 5_en.vtt
016 Multiple Linear Regression.mp4
016 Multiple Linear Regression_en.vtt
017 Dummy Variables.mp4
017 Dummy Variables_en.vtt
018 Dummy Variables Trap.html
019 Stepwise Approach.mp4
019 Stepwise Approach_en.vtt
020 Assumptions of Multiple Linear Regression.mp4
020 Assumptions of Multiple Linear Regression_en.vtt
021 Companies-spends-and-profits.csv
021 Overview on the business problem data.mp4
021 Overview on the business problem data_en.vtt
022 Create Multiple Linear Regression Model in Python-Part 1.mp4
022 Create Multiple Linear Regression Model in Python-Part 1_en.vtt
022 Multiple-Linear-Regression.ipynb
023 Create Multiple Linear Regression Model in Python-Part 2.mp4
023 Create Multiple Linear Regression Model in Python-Part 2_en.vtt
024 Create Multiple Linear Regression Model in Python-Part 3.mp4
024 Create Multiple Linear Regression Model in Python-Part 3_en.vtt
025 Create Multiple Linear Regression Model in Python-Part 4.mp4
025 Create Multiple Linear Regression Model in Python-Part 4_en.vtt
026 Polynomial Regression.mp4
026 Polynomial Regression_en.vtt
027 Overview on the business problem data.mp4
027 Overview on the business problem data_en.vtt
027 Reward-system.csv
028 Create Polynomial Regression Model in Python-Part 1.mp4
028 Create Polynomial Regression Model in Python-Part 1_en.vtt
028 Polynomial-Regression-Model.ipynb
029 Create Polynomial Regression Model in Python-Part 2.mp4
029 Create Polynomial Regression Model in Python-Part 2_en.vtt
030 Create Polynomial Regression Model in Python-Part 3.mp4
030 Create Polynomial Regression Model in Python-Part 3_en.vtt
031 Course Rating.html
032 Introduction to Classification.mp4
032 Introduction to Classification_en.vtt
033 Introduction to Logistic Regression.mp4
033 Introduction to Logistic Regression_en.vtt
034 Confusion Matrix.mp4
034 Confusion Matrix_en.vtt
035 Standard Scaler.mp4
035 Standard Scaler_en.vtt
036 Bank-Data.csv
036 Overview on the business problem data.mp4
036 Overview on the business problem data_en.vtt
037 Create Logistic Regression Model in Python-Part 1.mp4
037 Create Logistic Regression Model in Python-Part 1_en.vtt
037 Logistic-Regression-Model.ipynb
038 Create Logistic Regression Model in Python-Part 2.mp4
038 Create Logistic Regression Model in Python-Part 2_en.vtt
039 KNN Classification Algorithm.mp4
039 KNN Classification Algorithm_en.vtt
040 Bank-Data.csv
040 Create KNN Model in Python.mp4
040 Create KNN Model in Python_en.vtt
040 KNN-Model.ipynb
041 Support Vector Machine (SVM) Classification Algorithm.mp4
041 Support Vector Machine (SVM) Classification Algorithm_en.vtt
042 Create Support Vector Machine in Python.mp4
042 Create Support Vector Machine in Python_en.vtt
042 Support-Vector-Machine.ipynb
043 Naive Bayes Algorithm Part 1.mp4
043 Naive Bayes Algorithm Part 1_en.vtt
044 Naive Bayes Algorithm Part 2.mp4
044 Naive Bayes Algorithm Part 2_en.vtt
045 Create Naive Bayes Model in Python.mp4
045 Create Naive Bayes Model in Python_en.vtt
045 Naive-Bayes-Model.ipynb
046 Decision Tree Algorithm.mp4
046 Decision Tree Algorithm_en.vtt
047 Bank-Data.csv
047 Create Decision Tree Model in Python.mp4
047 Create Decision Tree Model in Python_en.vtt
047 Decision-Tree-Model.ipynb
048 Random Forest Algorithm.mp4
048 Random Forest Algorithm_en.vtt
049 Create Random Forest Model in Python.mp4
049 Create Random Forest Model in Python_en.vtt
049 Random-Forest-Model.ipynb
050 Course Rating.html
04 - Unsupervised Learning Algorithms
001 Review Unsupervised Learning Algorithms.mp4
001 Review Unsupervised Learning Algorithms_en.vtt
002 Hierarchical Clustering Algorithm.mp4
002 Hierarchical Clustering Algorithm_en.vtt
003 Dendrogram Diagram Method.mp4
003 Dendrogram Diagram Method_en.vtt
004 Movies.csv
004 Overview on the business problem data.mp4
004 Overview on the business problem data_en.vtt
005 Create Hierarchical Clustering Algorithm in Python-1.mp4
005 Create Hierarchical Clustering Algorithm in Python-1_en.vtt
005 HC-Clustering.ipynb
006 Create Hierarchical Clustering Algorithm in Python-2.mp4
006 Create Hierarchical Clustering Algorithm in Python-2_en.vtt
007 K-means Clustering Algorithm.mp4
007 K-means Clustering Algorithm_en.vtt
008 Using Elbow Method to Determine Optimal Number of Clusters.mp4
008 Using Elbow Method to Determine Optimal Number of Clusters_en.vtt
009 Create K-means Clustering Algorithm Model in Python - 1.mp4
009 Create K-means Clustering Algorithm Model in Python - 1_en.vtt
009 K-means-clustering-model.ipynb
010 Create K-means Clustering Algorithm Model in Python - 2.mp4
010 Create K-means Clustering Algorithm Model in Python - 2_en.vtt
011 Association Rules (Market Basket Analysis).mp4
011 Association Rules (Market Basket Analysis)_en.vtt
012 GroceryStoreDataSet.csv
012 Overview on the business problem data.mp4
012 Overview on the business problem data_en.vtt
013 Create Association Rules (Market Basket Analysis) Model in Python - 1.mp4
013 Create Association Rules (Market Basket Analysis) Model in Python - 1_en.vtt
013 apriori-model.ipynb
014 Create Association Rules (Market Basket Analysis) Model in Python - 2.mp4
014 Create Association Rules (Market Basket Analysis) Model in Python - 2_en.vtt
015 Create Association Rules (Market Basket Analysis) Model in Python - 3.mp4
015 Create Association Rules (Market Basket Analysis) Model in Python - 3_en.vtt
05 - Deep Learning
001 Introduction to Deep Learning.mp4
001 Introduction to Deep Learning_en.vtt
002 Use Deep Learning in Classification.mp4
002 Use Deep Learning in Classification_en.vtt
003 How Does Deep Learning Work.mp4
003 How Does Deep Learning Work_en.vtt
004 Activation Functions.mp4
004 Activation Functions_en.vtt
005 What is Tensorflow.mp4
005 What is Tensorflow_en.vtt
006 Introduction to the Deep Learning Problem and Dataset.mp4
006 Introduction to the Deep Learning Problem and Dataset_en.vtt
007 Create Artificial Neural Network Model in Python Part-1.mp4
007 Create Artificial Neural Network Model in Python Part-1_en.vtt
007 Deep-learning-model.ipynb
007 Medical-data.csv
008 Create Artificial Neural Network Model in Python Part-2.mp4
008 Create Artificial Neural Network Model in Python Part-2_en.vtt
009 Create Artificial Neural Network Model in Python Part-3.mp4
009 Create Artificial Neural Network Model in Python Part-3_en.vtt
009 Link-to-the-Keras-documentation-website..url
010 Course Rating.html
external-links.txt
06 - Appendix Statistics Overview
001 What is Statistics.mp4
001 What is Statistics_en.vtt
002 Sample And Population.mp4
002 Sample And Population_en.vtt
003 Descriptive and Inferential Statistics.mp4
003 Descriptive and Inferential Statistics_en.vtt
004 Data types.mp4
004 Data types_en.vtt
005 Visualize Data.mp4
005 Visualize Data_en.vtt
005 Walmart-Stores.xlsx
006 Histogram.mp4
006 Histogram.xlsx
006 Histogram_en.vtt
007 Central Tendency Measures.mp4
007 Central Tendency Measures_en.vtt
008 Variability Measures.mp4
008 Variability Measures_en.vtt
009 Calculate Central and Variability Measures (Practical).mp4
009 Calculate Central and Variability Measures (Practical)_en.vtt
009 Variance-and-SD.xlsx
010 Symmetry and skewness in data.mp4
010 Symmetry and skewness in data_en.vtt
011 Correlation and Covariance.mp4
011 Correlation and Covariance_en.vtt
012 Introduction to Inferential Statistics.mp4
012 Introduction to Inferential Statistics_en.vtt
013 Discrete Probability Distributions.mp4
013 Discrete Probability Distributions_en.vtt
014 Normal Distribution.mp4
014 Normal Distribution_en.vtt
015 Variable standardization.mp4
015 Variable standardization_en.vtt
016 Variable standardization Demo.mp4
016 Variable standardization Demo_en.vtt
017 Introduction to Central Limit Theorem.mp4
017 Introduction to Central Limit Theorem_en.vtt
018 Estimators.mp4
018 Estimators_en.vtt
019 Introduction to Confidence Interval.mp4
019 Introduction to Confidence Interval_en.vtt
020 Calculate Confidence Interval for one Sample with a Known Population Variance.mp4
020 Calculate Confidence Interval for one Sample with a Known Population Variance_en.vtt
021 Introduction to the Business Problem.mp4
021 Introduction to the Business Problem_en.vtt
022 1-Confidence-intervals-variance-known.xlsx
022 Calculate Confidence Interval in Excel.mp4
022 Calculate Confidence Interval in Excel_en.vtt
023 t - Distribution.mp4
023 t - Distribution_en.vtt
024 2-Confidence-intervals-variance-unknown.xlsx
024 Calculate Confidence Interval for one Sample with a Unknown Population Variance.mp4
024 Calculate Confidence Interval for one Sample with a Unknown Population Variance_en.vtt
025 Reduce Margin of Error.mp4
025 Reduce Margin of Error_en.vtt
026 Confidence Interval for two Dependent Samples.mp4
026 Confidence Interval for two Dependent Samples_en.vtt
027 Calculate Confidence Interval for two Dependent Samples in Excel.mp4
027 Calculate Confidence Interval for two Dependent Samples in Excel_en.vtt
028 3-Confidence-intervals-dependent-samples.xlsx
028 Confidence Interval for two Independent Samples with a Known Population Variance.mp4
028 Confidence Interval for two Independent Samples with a Known Population Variance_en.vtt
029 Calculate Confidence Interval for two Independent Samples Known Var in Excel.mp4
029 Calculate Confidence Interval for two Independent Samples Known Var in Excel_en.vtt
030 5-Confidence-intervals-independent-samples-variance-unknown-and-equal.xlsx
030 Confidence Interval for two Independent Samples Unknown Population Variance.mp4
030 Confidence Interval for two Independent Samples Unknown Population Variance_en.vtt
031 What is a Statistical Hypothesis.mp4
031 What is a Statistical Hypothesis_en.vtt
032 Types of Hypotheses.mp4
032 Types of Hypotheses_en.vtt
033 P-Value.mp4
033 P-Value_en.vtt
034 Link to z-value Calculator.html
035 Testing a Hypothesis for one Sample, Variance is Known.mp4
035 Testing a Hypothesis for one Sample, Variance is Known_en.vtt
036 6-Test-Hypothises-population-variance-known.xlsx
036 Testing the Hypothesis in Excel.mp4
036 Testing the Hypothesis in Excel_en.vtt
037 7-Test-hypothises-population-variance-unknown.xlsx
037 Testing a Hypothesis for one Sample, Variance is Unknown.mp4
037 Testing a Hypothesis for one Sample, Variance is Unknown_en.vtt
038 8-Test-hypothises-dependent-samples.xlsx
038 Testing a Hypothesis for two Dependent Samples.mp4
038 Testing a Hypothesis for two Dependent Samples_en.vtt
039 Link to t-value Calculator.html
040 9-Test-hypothises-two-independent-samples-variance-known.xlsx
040 Testing a Hypothesis for two Independent Samples, Variance is Known.mp4
040 Testing a Hypothesis for two Independent Samples, Variance is Known_en.vtt
041 10-Test-hypothises-two-independent-samples-variance-unknown.xlsx
041 Testing a Hypothesis for two Independent Samples, Variance is Unknown.mp4
041 Testing a Hypothesis for two Independent Samples, Variance is Unknown_en.vtt
Bonus Resources.txt
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