[FreeCourseSite.com] Udemy - Machine Learning & Data Science A-Z Hands-on Python 2021
File List
- 06 Supervised Learning - Regression/008 Random Forest Model Development.mp4 246.2 MB
- 05 Supervised Learning - Classification/001 Supervised Learning Models - Introduction and Understanding the Data.mp4 233.8 MB
- 05 Supervised Learning - Classification/004 k-NN Training-Set and Test-Set Creation.mp4 228.4 MB
- 03 Data Preprocessing/006 Missing Values2.mp4 219.4 MB
- 06 Supervised Learning - Regression/006 Polynomial Linear Regression Model Development.mp4 219.1 MB
- 06 Supervised Learning - Regression/001 Simple and Multiple Linear Regression Concepts.mp4 212.2 MB
- 03 Data Preprocessing/003 Statistics2.mp4 207.5 MB
- 02 Machine Learning Useful Packages (Libraries)/013 Visualization with Matplotlib2.mp4 205.2 MB
- 02 Machine Learning Useful Packages (Libraries)/011 Pandas4.mp4 203.0 MB
- 02 Machine Learning Useful Packages (Libraries)/014 Visualization with Matplotlib3.mp4 188.8 MB
- 03 Data Preprocessing/012 Normalization.mp4 186.9 MB
- 05 Supervised Learning - Classification/013 Model Evaluation - Calculating with Python.mp4 174.0 MB
- 06 Supervised Learning - Regression/004 Evaluation Metrics - Implementation.mp4 159.9 MB
- 03 Data Preprocessing/001 Reading and Modifying a Dataset.mp4 154.6 MB
- 02 Machine Learning Useful Packages (Libraries)/006 NumPy5.mp4 152.6 MB
- 07 Unsupervised Learning - Clustering Techniques/010 Hierarchical Clustering Model Development.mp4 145.9 MB
- 02 Machine Learning Useful Packages (Libraries)/015 Visualization with Matplotlib4.mp4 143.0 MB
- 05 Supervised Learning - Classification/003 k-NN Model Development.mp4 140.7 MB
- 02 Machine Learning Useful Packages (Libraries)/007 NumPy6.mp4 134.5 MB
- 08 Hyper Parameter Optimization (Model Tuning)/004 k-NN - Model Tuning.mp4 133.6 MB
- 03 Data Preprocessing/008 Outlier Detection2.mp4 130.7 MB
- 03 Data Preprocessing/005 Missing Values1.mp4 129.6 MB
- 02 Machine Learning Useful Packages (Libraries)/016 Visualization with Matplotlib5.mp4 129.2 MB
- 08 Hyper Parameter Optimization (Model Tuning)/002 Support Vector Regression - Model Tuning.mp4 125.6 MB
- 06 Supervised Learning - Regression/010 Support Vector Regression Model Development.mp4 121.0 MB
- 02 Machine Learning Useful Packages (Libraries)/010 Pandas3.mp4 117.8 MB
- 02 Machine Learning Useful Packages (Libraries)/009 Pandas2.mp4 116.9 MB
- 05 Supervised Learning - Classification/011 Logistic Regression Model Development.mp4 112.1 MB
- 03 Data Preprocessing/004 Statistics3 - Covariance.mp4 107.5 MB
- 07 Unsupervised Learning - Clustering Techniques/005 K-means Model Development2.mp4 103.8 MB
- 07 Unsupervised Learning - Clustering Techniques/006 K-means - Model Evaluation.mp4 102.4 MB
- 02 Machine Learning Useful Packages (Libraries)/012 Visualization with Matplotlib1.mp4 99.4 MB
- 02 Machine Learning Useful Packages (Libraries)/008 Pandas1.mp4 95.6 MB
- 07 Unsupervised Learning - Clustering Techniques/008 DBSCAN Model Development.mp4 86.9 MB
- 02 Machine Learning Useful Packages (Libraries)/004 NumPy3.mp4 84.5 MB
- 05 Supervised Learning - Classification/012 Model Evaluation Concepts.mp4 83.5 MB
- 06 Supervised Learning - Regression/002 Multiple Linear Regression - Model Development.mp4 75.6 MB
- 03 Data Preprocessing/007 Outlier Detection1.mp4 73.2 MB
- 08 Hyper Parameter Optimization (Model Tuning)/005 Overfitting and Underfitting.mp4 72.1 MB
- 01 Introduction/006 Installation of Required Libraries.mp4 70.8 MB
- 05 Supervised Learning - Classification/006 Decision Tree Model Development.mp4 66.8 MB
- 03 Data Preprocessing/010 Concatenation.mp4 65.9 MB
- 05 Supervised Learning - Classification/008 Naive Bayes Concepts.mp4 59.2 MB
- 05 Supervised Learning - Classification/009 Naive Bayes Model Development.mp4 58.9 MB
- 03 Data Preprocessing/011 Dummy Variable.mp4 57.6 MB
- 02 Machine Learning Useful Packages (Libraries)/003 NumPy2.mp4 56.9 MB
- 02 Machine Learning Useful Packages (Libraries)/005 NumPy4.mp4 56.6 MB
- 05 Supervised Learning - Classification/007 Decision Tree - Cross Validation.mp4 54.6 MB
- 06 Supervised Learning - Regression/003 Evaluation Metrics - Concepts.mp4 49.5 MB
- 05 Supervised Learning - Classification/002 k-NN Concepts.mp4 48.0 MB
- 01 Introduction/007 Spyder Interface.mp4 46.4 MB
- 04 Machine Learning Introduction/001 Learning Types.mp4 45.4 MB
- 07 Unsupervised Learning - Clustering Techniques/002 K-means Concepts1.mp4 44.5 MB
- 07 Unsupervised Learning - Clustering Techniques/001 Introduction.mp4 38.1 MB
- 02 Machine Learning Useful Packages (Libraries)/002 NumPy1.mp4 37.5 MB
- 07 Unsupervised Learning - Clustering Techniques/004 K-means Model Development1.mp4 36.0 MB
- 03 Data Preprocessing/002 Statistics1.mp4 34.0 MB
- 03 Data Preprocessing/009 Outlier Detection3.mp4 31.0 MB
- 06 Supervised Learning - Regression/007 Random Forest Concepts.mp4 30.2 MB
- 06 Supervised Learning - Regression/009 Support Vector Regression Concepts.mp4 27.0 MB
- 07 Unsupervised Learning - Clustering Techniques/007 DBSCAN Concepts.mp4 26.8 MB
- 06 Supervised Learning - Regression/005 Polynomial Linear Regression Concepts.mp4 26.4 MB
- 01 Introduction/002 What is Machine Learning_ Some Basic Terms.mp4 25.8 MB
- 05 Supervised Learning - Classification/005 Decision Tree Concepts.mp4 25.6 MB
- 07 Unsupervised Learning - Clustering Techniques/009 Hierarchical Clustering Concepts.mp4 24.3 MB
- 01 Introduction/005 IDE Installation.mp4 22.3 MB
- 07 Unsupervised Learning - Clustering Techniques/003 K-means Concepts2.mp4 21.3 MB
- 01 Introduction/001 Course Content.mp4 17.1 MB
- 08 Hyper Parameter Optimization (Model Tuning)/001 Introduction.mp4 17.0 MB
- 08 Hyper Parameter Optimization (Model Tuning)/003 K-Means - Model Tuning.mp4 15.3 MB
- 05 Supervised Learning - Classification/010 Logistic Regression Concepts.mp4 10.9 MB
- 01 Introduction/004 Python IDE.mp4 7.5 MB
- 02 Machine Learning Useful Packages (Libraries)/008 Python Source Codes/Chapter6.Regression.py 4.3 KB
- 02 Machine Learning Useful Packages (Libraries)/008 Python Source Codes/Chapter5.Classification.py 3.3 KB
- 02 Machine Learning Useful Packages (Libraries)/008 Python Source Codes/Chapter2.Matplotlib.py 2.9 KB
- 02 Machine Learning Useful Packages (Libraries)/008 Python Source Codes/Chapter3.Preprocessing.py 2.6 KB
- 02 Machine Learning Useful Packages (Libraries)/008 Python Source Codes/Chapter8.Parameter Tuning.py 1.9 KB
- 01 Introduction/003 Python Installation.html 1.5 KB
- 02 Machine Learning Useful Packages (Libraries)/008 Python Source Codes/Chapter7.Clustering.py 1.4 KB
- 02 Machine Learning Useful Packages (Libraries)/001 Python Source Codes.html 1.2 KB
- 02 Machine Learning Useful Packages (Libraries)/008 Python Source Codes/Chapter2.Pandas.py 1.1 KB
- 02 Machine Learning Useful Packages (Libraries)/008 Python Source Codes/Chapter2.NumPy.py 1.1 KB
- 02 Machine Learning Useful Packages (Libraries)/018 Data_Set.txt 580 bytes
- 03 Data Preprocessing/024 Data_Set.txt 580 bytes
- 03 Data Preprocessing/033 Data_New.txt 201 bytes
- 0. Websites you may like/[FCS Forum].url 133 bytes
- 0. Websites you may like/[FreeCourseSite.com].url 127 bytes
- 0. Websites you may like/[CourseClub.ME].url 122 bytes
- 02 Machine Learning Useful Packages (Libraries)/Readme.txt 70 bytes
- 03 Data Preprocessing/Readme.txt 70 bytes
- 0. Websites you may like/[GigaCourse.Com].url 49 bytes
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