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0. Websites you may like/[CourseClub.ME].url 122 B
0. Websites you may like/[FCS Forum].url 133 B
0. Websites you may like/[FreeCourseSite.com].url 127 B
0. Websites you may like/[GigaCourse.Com].url 49 B
01 Introduction/001 Course Content.mp4 17.07 MB
01 Introduction/002 What is Machine Learning_ Some Basic Terms.mp4 25.82 MB
01 Introduction/003 Python Installation.html 1.47 KB
01 Introduction/004 Python IDE.mp4 7.51 MB
01 Introduction/005 IDE Installation.mp4 22.28 MB
01 Introduction/006 Installation of Required Libraries.mp4 70.78 MB
01 Introduction/007 Spyder Interface.mp4 46.36 MB
02 Machine Learning Useful Packages (Libraries)/001 Python Source Codes.html 1.23 KB
02 Machine Learning Useful Packages (Libraries)/002 NumPy1.mp4 37.49 MB
02 Machine Learning Useful Packages (Libraries)/003 NumPy2.mp4 56.91 MB
02 Machine Learning Useful Packages (Libraries)/004 NumPy3.mp4 84.52 MB
02 Machine Learning Useful Packages (Libraries)/005 NumPy4.mp4 56.56 MB
02 Machine Learning Useful Packages (Libraries)/006 NumPy5.mp4 152.64 MB
02 Machine Learning Useful Packages (Libraries)/007 NumPy6.mp4 134.5 MB
02 Machine Learning Useful Packages (Libraries)/008 Pandas1.mp4 95.61 MB
02 Machine Learning Useful Packages (Libraries)/008 Python Source Codes/Chapter2.Matplotlib.py 2.95 KB
02 Machine Learning Useful Packages (Libraries)/008 Python Source Codes/Chapter2.NumPy.py 1.11 KB
02 Machine Learning Useful Packages (Libraries)/008 Python Source Codes/Chapter2.Pandas.py 1.12 KB
02 Machine Learning Useful Packages (Libraries)/008 Python Source Codes/Chapter3.Preprocessing.py 2.57 KB
02 Machine Learning Useful Packages (Libraries)/008 Python Source Codes/Chapter5.Classification.py 3.31 KB
02 Machine Learning Useful Packages (Libraries)/008 Python Source Codes/Chapter6.Regression.py 4.32 KB
02 Machine Learning Useful Packages (Libraries)/008 Python Source Codes/Chapter7.Clustering.py 1.44 KB
02 Machine Learning Useful Packages (Libraries)/008 Python Source Codes/Chapter8.Parameter Tuning.py 1.95 KB
02 Machine Learning Useful Packages (Libraries)/009 Pandas2.mp4 116.94 MB
02 Machine Learning Useful Packages (Libraries)/010 Pandas3.mp4 117.83 MB
02 Machine Learning Useful Packages (Libraries)/011 Pandas4.mp4 203.04 MB
02 Machine Learning Useful Packages (Libraries)/012 Visualization with Matplotlib1.mp4 99.45 MB
02 Machine Learning Useful Packages (Libraries)/013 Visualization with Matplotlib2.mp4 205.24 MB
02 Machine Learning Useful Packages (Libraries)/014 Visualization with Matplotlib3.mp4 188.84 MB
02 Machine Learning Useful Packages (Libraries)/015 Visualization with Matplotlib4.mp4 142.99 MB
02 Machine Learning Useful Packages (Libraries)/016 Visualization with Matplotlib5.mp4 129.25 MB
02 Machine Learning Useful Packages (Libraries)/018 Data_Set.txt 580 B
02 Machine Learning Useful Packages (Libraries)/Readme.txt 70 B
03 Data Preprocessing/001 Reading and Modifying a Dataset.mp4 154.55 MB
03 Data Preprocessing/002 Statistics1.mp4 34.04 MB
03 Data Preprocessing/003 Statistics2.mp4 207.49 MB
03 Data Preprocessing/004 Statistics3 - Covariance.mp4 107.48 MB
03 Data Preprocessing/005 Missing Values1.mp4 129.64 MB
03 Data Preprocessing/006 Missing Values2.mp4 219.38 MB
03 Data Preprocessing/007 Outlier Detection1.mp4 73.2 MB
03 Data Preprocessing/008 Outlier Detection2.mp4 130.66 MB
03 Data Preprocessing/009 Outlier Detection3.mp4 31.01 MB
03 Data Preprocessing/010 Concatenation.mp4 65.88 MB
03 Data Preprocessing/011 Dummy Variable.mp4 57.59 MB
03 Data Preprocessing/012 Normalization.mp4 186.87 MB
03 Data Preprocessing/024 Data_Set.txt 580 B
03 Data Preprocessing/033 Data_New.txt 201 B
03 Data Preprocessing/Readme.txt 70 B
04 Machine Learning Introduction/001 Learning Types.mp4 45.44 MB
05 Supervised Learning - Classification/001 Supervised Learning Models - Introduction and Understanding the Data.mp4 233.75 MB
05 Supervised Learning - Classification/002 k-NN Concepts.mp4 48.03 MB
05 Supervised Learning - Classification/003 k-NN Model Development.mp4 140.65 MB
05 Supervised Learning - Classification/004 k-NN Training-Set and Test-Set Creation.mp4 228.42 MB
05 Supervised Learning - Classification/005 Decision Tree Concepts.mp4 25.62 MB
05 Supervised Learning - Classification/006 Decision Tree Model Development.mp4 66.84 MB
05 Supervised Learning - Classification/007 Decision Tree - Cross Validation.mp4 54.64 MB
05 Supervised Learning - Classification/008 Naive Bayes Concepts.mp4 59.23 MB
05 Supervised Learning - Classification/009 Naive Bayes Model Development.mp4 58.95 MB
05 Supervised Learning - Classification/010 Logistic Regression Concepts.mp4 10.85 MB
05 Supervised Learning - Classification/011 Logistic Regression Model Development.mp4 112.12 MB
05 Supervised Learning - Classification/012 Model Evaluation Concepts.mp4 83.47 MB
05 Supervised Learning - Classification/013 Model Evaluation - Calculating with Python.mp4 174.04 MB
06 Supervised Learning - Regression/001 Simple and Multiple Linear Regression Concepts.mp4 212.19 MB
06 Supervised Learning - Regression/002 Multiple Linear Regression - Model Development.mp4 75.59 MB
06 Supervised Learning - Regression/003 Evaluation Metrics - Concepts.mp4 49.47 MB
06 Supervised Learning - Regression/004 Evaluation Metrics - Implementation.mp4 159.9 MB
06 Supervised Learning - Regression/005 Polynomial Linear Regression Concepts.mp4 26.39 MB
06 Supervised Learning - Regression/006 Polynomial Linear Regression Model Development.mp4 219.12 MB
06 Supervised Learning - Regression/007 Random Forest Concepts.mp4 30.23 MB
06 Supervised Learning - Regression/008 Random Forest Model Development.mp4 246.24 MB
06 Supervised Learning - Regression/009 Support Vector Regression Concepts.mp4 26.97 MB
06 Supervised Learning - Regression/010 Support Vector Regression Model Development.mp4 121.01 MB
07 Unsupervised Learning - Clustering Techniques/001 Introduction.mp4 38.11 MB
07 Unsupervised Learning - Clustering Techniques/002 K-means Concepts1.mp4 44.53 MB
07 Unsupervised Learning - Clustering Techniques/003 K-means Concepts2.mp4 21.28 MB
07 Unsupervised Learning - Clustering Techniques/004 K-means Model Development1.mp4 35.98 MB
07 Unsupervised Learning - Clustering Techniques/005 K-means Model Development2.mp4 103.83 MB
07 Unsupervised Learning - Clustering Techniques/006 K-means - Model Evaluation.mp4 102.4 MB
07 Unsupervised Learning - Clustering Techniques/007 DBSCAN Concepts.mp4 26.85 MB
07 Unsupervised Learning - Clustering Techniques/008 DBSCAN Model Development.mp4 86.87 MB
07 Unsupervised Learning - Clustering Techniques/009 Hierarchical Clustering Concepts.mp4 24.29 MB
07 Unsupervised Learning - Clustering Techniques/010 Hierarchical Clustering Model Development.mp4 145.89 MB
08 Hyper Parameter Optimization (Model Tuning)/001 Introduction.mp4 17.02 MB
08 Hyper Parameter Optimization (Model Tuning)/002 Support Vector Regression - Model Tuning.mp4 125.61 MB
08 Hyper Parameter Optimization (Model Tuning)/003 K-Means - Model Tuning.mp4 15.3 MB
08 Hyper Parameter Optimization (Model Tuning)/004 k-NN - Model Tuning.mp4 133.64 MB
08 Hyper Parameter Optimization (Model Tuning)/005 Overfitting and Underfitting.mp4 72.09 MB
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