FreeTutorials Us Udemy machine learning course with python |
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[FreeTutorials.Us] Udemy - machine-learning-course-with-python |
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Total Size |
3.2 GB |
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Total Files |
176 |
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Hash |
03705FE20E1D0BCA7E1938D98089710EC067E809 |
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/.../008 Navigating the Spyder Jupyter Notebook Interface/ |
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43.3 KB |
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/.../009 Downloading the IRIS Datasets/ |
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234.1 KB |
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/.../010 Data Exploration and Analysis/ |
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45.8 KB |
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/.../011 Presenting Your Data/ |
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1.1 MB |
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/.../014 Working with Scikit-Learn/ |
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933.8 KB |
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/.../015 Boston Housing Data - EDA/ |
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2.0 MB |
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/.../016 Correlation Analysis and Feature Selection/ |
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2.2 MB |
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/.../017 Simple Linear Regression Modelling with Boston Housing Data/ |
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2.7 MB |
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/.../018 Robust Regression/ |
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2.9 MB |
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/.../019 Evaluate Model Performance/ |
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3.1 MB |
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/.../020 Multiple Regression with statsmodel/ |
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2.7 MB |
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/.../021 Multiple Regression and Feature Importance/ |
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2.8 MB |
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/.../022 Ordinary Least Square Regression and Gradient Descent/ |
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144.8 KB |
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/.../023 Regularised Method for Regression/ |
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264.9 KB |
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/.../024 Polynomial Regression/ |
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383.9 KB |
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/.../025 Dealing with Non-linear relationships/ |
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185.1 KB |
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/.../026 Feature Importance Revisited/ |
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231.3 KB |
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/.../027 Data Pre-Processing 1/ |
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159.6 KB |
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/.../028 Data Pre-Processing 2/ |
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160.7 KB |
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/.../029 Variance Bias Trade Off - Validation Curve/ |
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540.8 KB |
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/.../030 Variance Bias Trade Off - Learning Curve/ |
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733.7 KB |
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/.../031 Cross Validation/ |
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97.0 KB |
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/.../033 Logistic Regression 1/ |
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19.9 KB |
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/.../034 Logistic Regression 2/ |
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20.5 KB |
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/.../035 MNIST Project 1 - Introduction/ |
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579.4 KB |
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/.../036 MNIST Project 2 - SGDClassifier/ |
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579.4 KB |
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/.../037 MNIST Project 3 - Performance Measures/ |
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579.8 KB |
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/.../038 MNIST Project 4 - Confusion Matrix Precision Recall and F1 Score/ |
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587.7 KB |
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/.../039 MNIST Project 5 - Precision and Recall Tradeoff/ |
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645.3 KB |
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/.../040 MNIST Project 6 - The ROC Curve/ |
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700.6 KB |
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/.../043 Support Vector Machine SVM Concepts/ |
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223.8 KB |
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/.../044 Linear SVM Classification/ |
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457.4 KB |
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/.../045 Polynomial Kernel/ |
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502.9 KB |
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/.../046 Gaussian Radial Basis Function/ |
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546.3 KB |
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/.../047 Support Vector Regression/ |
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586.8 KB |
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/.../050 What is Decision Tree/ |
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116.0 KB |
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/.../051 Training a Decision Tree/ |
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116.4 KB |
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/.../052 Visualising a Decision Trees/ |
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162.5 KB |
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/.../053 Decision Tree Learning Algorithm/ |
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234.8 KB |
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/.../054 Decision Tree Regression/ |
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284.6 KB |
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/.../055 Overfitting and Grid Search/ |
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305.1 KB |
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/.../056 Where to From Here/ |
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317.2 KB |
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/.../057 Project HR - Loading and preprocesing data/ |
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64.9 KB |
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/.../058 Project HR - Modelling/ |
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65.6 KB |
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/.../060 Ensemble Learning Methods Introduction/ |
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2.3 KB |
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/.../061 Bagging Part 1/ |
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7.8 KB |
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/.../062 Bagging Part 2/ |
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8.3 KB |
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/.../063 Random Forests/ |
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9.0 KB |
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/.../064 Extra-Trees/ |
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9.3 KB |
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/attached_files/065 AdaBoost/ |
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9.0 KB |
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/.../066 Gradient Boosting Machine/ |
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61.9 KB |
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/attached_files/067 XGBoost/ |
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3.0 KB |
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/.../068 Project HR - Human Resources Analytics/ |
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129.8 KB |
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/.../069 Ensemble of ensembles Part 1/ |
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3.7 KB |
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/.../070 Ensemble of ensembles Part 2/ |
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5.5 KB |
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/.../072 kNN Concepts/ |
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1.6 KB |
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/.../073 kNN and Iris Dataset Demo/ |
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26.8 KB |
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/.../075 Project Cancer Detection Part 1/ |
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41.7 KB |
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/.../076 Project Cancer Detection Part 2/ |
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41.7 KB |
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/.../078 Dimensionality Reduction Concept/ |
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2.1 KB |
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/.../079 PCA Introduction/ |
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89.4 KB |
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/.../082 Project Abalone/ |
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16.6 KB |
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/.../083 Project Wine 2 Choosing the Number of Components/ |
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108.6 KB |
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/.../084 Kernel PCA/ |
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110.8 KB |
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/.../085 Kernel PCA Demo/ |
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110.8 KB |
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/.../086 LDA Comparison between LDA and PCA/ |
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79.0 KB |
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/.../088 Clustering Concepts/ |
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450.2 KB |
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/attached_files/089 MLextend/ |
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450.2 KB |
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/.../090 Wards Agglomerative Hierarchical Clustering/ |
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450.2 KB |
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/.../091 Truncating Dendrogram/ |
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450.2 KB |
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/.../092 k-Means Clustering/ |
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450.2 KB |
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/.../093 Elbow Method/ |
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450.2 KB |
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/.../094 Silhouette Analysis/ |
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450.2 KB |
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/.../095 Mean Shift/ |
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450.2 KB |
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/quizzes/ |
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11.1 KB |
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/03 Regression/quizzes/ |
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9.2 KB |
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11.7 KB |
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/01 Introduction/ |
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10.4 MB |
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2.1 KB |
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2.0 KB |
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/02 Getting Started with Anaconda/ |
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67.5 MB |
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19.7 MB |
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006 Mac OS Intructions on Installing Anaconda and Managing Environment.html |
0.5 KB |
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0.7 KB |
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43.4 MB |
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11.0 MB |
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36.5 MB |
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48.8 MB |
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/03 Regression/ |
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12.3 MB |
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23.4 MB |
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48.2 MB |
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64.4 MB |
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23.7 MB |
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017 Simple Linear Regression Modelling with Boston Housing Data.mp4 |
35.4 MB |
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35.1 MB |
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62.0 MB |
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62.5 MB |
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46.8 MB |
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022 Ordinary Least Square Regression and Gradient Descent.mp4 |
52.5 MB |
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50.1 MB |
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45.9 MB |
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29.8 MB |
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27.5 MB |
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36.6 MB |
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52.0 MB |
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46.0 MB |
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44.5 MB |
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46.9 MB |
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/04 Classification/ |
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8.3 MB |
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28.2 MB |
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43.8 MB |
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36.2 MB |
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26.7 MB |
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27.7 MB |
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038 MNIST Project 4 - Confusion Matrix Precision Recall and F1 Score.mp4 |
48.3 MB |
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46.0 MB |
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35.4 MB |
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0.8 KB |
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/05 Support Vector Machine SVM/ |
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4.9 MB |
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54.3 MB |
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33.1 MB |
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52.8 MB |
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47.0 MB |
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18.2 MB |
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13.7 MB |
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/06 Tree/ |
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5.9 MB |
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35.7 MB |
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17.4 MB |
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57.9 MB |
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38.8 MB |
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35.4 MB |
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57.1 MB |
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12.2 MB |
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59.5 MB |
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17.3 MB |
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/07 Ensemble Machine Learning/ |
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5.5 MB |
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29.0 MB |
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58.2 MB |
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39.1 MB |
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45.2 MB |
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22.6 MB |
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41.8 MB |
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47.0 MB |
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53.8 MB |
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92.4 MB |
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54.6 MB |
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47.1 MB |
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/08 k-Nearest Neighbours kNN/ |
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4.6 MB |
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15.7 MB |
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21.8 MB |
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13.7 MB |
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51.8 MB |
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51.0 MB |
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/09 Dimensionality Reduction/ |
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3.8 MB |
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27.0 MB |
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44.3 MB |
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15.3 MB |
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48.4 MB |
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0.5 KB |
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19.7 MB |
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37.6 MB |
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16.8 MB |
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17.7 MB |
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/10 Unsupervised Learning Clustering/ |
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4.2 MB |
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18.3 MB |
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23.7 MB |
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46.3 MB |
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59.2 MB |
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38.4 MB |
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16.5 MB |
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17.3 MB |
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26.9 MB |
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0.3 KB |
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0.1 KB |
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0.1 KB |
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Total files 176 |
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